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Journal articles on the topic 'Image registration. Three-dimensional imaging'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Liao, Ai-Ho, Li-Yen Chen, Wen-Fang Cheng, and Pai-Chi Li. "A Three-Dimensional Registration Method for MicroUS/MicroPET Multimodality Small-Animal Imaging." Ultrasonic Imaging 29, no. 3 (2007): 155–66. http://dx.doi.org/10.1177/016173460702900302.

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Small-animal models are used extensively in disease research, genomics research, drug development and developmental biology. The development of noninvasive small-animal imaging techniques with adequate spatial resolution and sensitivity is therefore of prime importance. In particular, multimodality small-animal imaging can provide complementary information. This paper presents a method for registering high-frequency ultrasonic (microUS) images with small-animal positron-emission tomography (microPET) images. Registration is performed using six external multimodality markers, each being a glass

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Zhou, Zibo, Libing Jiang, and Zhuang Wang. "A novel image registration method for InISAR 3D imaging." MATEC Web of Conferences 232 (2018): 02044. http://dx.doi.org/10.1051/matecconf/201823202044.

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Image registration is a key intermediate step for Interferometric Inverse Synthetic Aperture Radar (InISAR) three-dimensional (3D) imaging. It arranges the same scatterers of the target on the same pixel cell in different ISAR images, which makes the interferometric processing carried on between the same scatterers to obtain its 3D coordinates. This paper proposes a novel ISAR image registration method of three steps. Firstly, chirp Fourier transform is used to estimate the rotational angular velocity of the target. Secondly, the compensation phase is constructed, according to the rotational a

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Chinn, Douglas, Peter Ostendorp, Mike Haugh, et al. "Three Dimensional Imaging of LIGA-Made Microcomponents." Journal of Manufacturing Science and Engineering 126, no. 4 (2004): 813–21. http://dx.doi.org/10.1115/1.1812774.

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Nickel and nickel-alloy microparts sized on the order of 5–1000 microns have been imaged in three dimensions using a new microscopic technique, Digital Volumetric Imaging (DVI). The gears were fabricated using Sandia National Laboratories’ LIGA technology (lithography, molding, and electroplating). The images were taken on a microscope built by Resolution Sciences Corporation by slicing the gear into one-micron thin slices, photographing each slice, and then reconstructing the image with software. The images were matched to the original CAD (computer aided design) model, allowing LIGA designer

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Bedell, Barry J., Ponnada A. Narayana, and Dennis A. Johnston. "Three-Dimensional MR image registration of the human brain." Magnetic Resonance in Medicine 35, no. 3 (1996): 384–90. http://dx.doi.org/10.1002/mrm.1910350317.

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Foskey, Mark, Brad Davis, Lav Goyal, et al. "Large deformation three-dimensional image registration in image-guided radiation therapy." Physics in Medicine and Biology 50, no. 24 (2005): 5869–92. http://dx.doi.org/10.1088/0031-9155/50/24/008.

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Gralla, Jan, Raphael Guzman, Caspar Brekenfeld, Luca Remonda, and Claus Kiefer. "High-resolution three-dimensional T2-weighted sequence for neuronavigation: a new setup and clinical trial." Journal of Neurosurgery 102, no. 4 (2005): 658–63. http://dx.doi.org/10.3171/jns.2005.102.4.0658.

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Object. Conventional imaging for neuronavigation is performed using high-resolution computerized tomography (CT) scanning or a T1-weighted isovoxel magnetic resonance (MR) sequence. The extension of some lesions, however, is depicted much better on T2-weighted MR images. A possible fusion process used to match low-resolution T2-weighted MR image set with a referenced CT or T1-weighted data set leads to poor resolution in the three-dimensional (3D) reconstruction and decreases accuracy, which is unacceptable for neuronavigation. The object of this work was to develop a 3D T2-weighted isovoxel s

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He, Ying. "Computer Three-Dimensional Positioning and Reconstruction of Continuous Slice Images of Biological Tissues." Journal of Medical Imaging and Health Informatics 10, no. 2 (2020): 469–76. http://dx.doi.org/10.1166/jmihi.2020.2895.

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The physiological and pathological changes of organisms will have certain effects on the morphology of tissues and organs. Conversely, the morphological changes of tissues and organs can also reflect the physiological and pathological changes of organisms to some extent. The bio-tissue slice can provide people with two-dimensional information of the tissue structure on a certain section. In this paper, the image registration algorithm based on mutual information is used to register the slice images of different tissues, and then the image segmentation is used to improve the registration accura

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Morgenstern, U., R. Steinmeier, and F. Uhlemann. "Objective Evaluation of Three-dimensional Image Registration Algorithms – Tools for Optimization and Evaluation." Methods of Information in Medicine 43, no. 04 (2004): 367–70. http://dx.doi.org/10.1055/s-0038-1633879.

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Summary Objective: The registration of medical volume data sets plays an important role when different images or modalities are used during computer-assisted surgical procedures. Nevertheless, it is often questionable how robust and accurate the underlying algorithms really are. Therefore, the goal is to foster the establishment of methods for an objective evaluation. Method: To reliably calculate the accuracy of registration algorithms, a reference transformation must be known. Due to the unknown perfect registration for real clinical data, the simulation of realistic data and successive affi

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Mutic, Sasa, James F. Dempsey, Walter R. Bosch, et al. "Multimodality image registration quality assurance for conformal three-dimensional treatment planning." International Journal of Radiation Oncology*Biology*Physics 51, no. 1 (2001): 255–60. http://dx.doi.org/10.1016/s0360-3016(01)01659-5.

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Mohandass, P., D. Khanna, T. Manoj Kumar, et al. "Comparison of Different Registration Methods on Patient Set-Up Error During Volumetric Modulated Arc Therapy Using Cone-Beam CT Imaging for Lung Cancer." Journal of Global Oncology 4, Supplement 2 (2018): 92s. http://dx.doi.org/10.1200/jgo.18.13500.

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Background: The three-dimensional image-guided radiation therapy is very important in volumetric modulated arc therapy (VMAT) to enhance accuracy throughout the course of a patient's radiation treatment. The image guidance can ensure the safe administration of prescribed radiation dose to the patient. Aim: This study investigated patient set-up uncertainties based on three different registration methods in cone bean CT (CBCT) using volumetric modulated arc therapy (VMAT) for different clinical sites. Methods: A total of 396 CBCT performed for lung VMAT plan for patient set-up verification as p

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Yang, Shao-Di, Yu-Qian Zhao, Fan Zhang, et al. "An Abdominal Registration Technology for Integration of Nanomaterial Imaging-Aided Diagnosis and Treatment." Journal of Biomedical Nanotechnology 17, no. 5 (2021): 952–59. http://dx.doi.org/10.1166/jbn.2021.3076.

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Image registration technology is a key technology used in the process of nanomaterial imaging-aided diagnosis and targeted therapy effect monitoring for abdominal diseases. Recently, the deep-learning based methods have been increasingly used for large-scale medical image registration, because their iteration is much less than those of traditional ones. In this paper, a coarse-to-fine unsupervised learning-based three-dimensional (3D) abdominal CT image registration method is presented. Firstly, an affine transformation was used as an initial step to deal with large deformation between two ima

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Schreibmann, Eduard, Brian Thorndyke, Tianfang Li, Jing Wang, and Lei Xing. "Four-Dimensional Image Registration for Image-Guided Radiotherapy." International Journal of Radiation Oncology*Biology*Physics 71, no. 2 (2008): 578–86. http://dx.doi.org/10.1016/j.ijrobp.2008.01.042.

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Ehret, Nicole, Muhannad Alkassar, Sven Dittrich, et al. "A new approach of three-dimensional guidance in paediatric cath lab: segmented and tessellated heart models for cardiovascular interventions in CHD." Cardiology in the Young 28, no. 5 (2018): 661–67. http://dx.doi.org/10.1017/s1047951117002840.

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AbstractBackgroundOptimal imaging is essential for catheter-based interventions in CHD. The three-dimensional models in volume-rendering technique currently in use are not standardised. This paper investigates the feasibility and impact of novel three-dimensional guidance with segmented and tessellated three-dimensional heart models in catheterisation of CHD. In addition, a nearly radiation-free two- to three-dimensional registration and a biplane overlay were used.Methods and resultsWe analysed 60 consecutive cases in which segmented tessellated three-dimensional heart models were merged with

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Liu, Sa, Jun Nie, Yusha Li, Tingting Yu, Dan Zhu, and Peng Fei. "Three-dimensional, isotropic imaging of mouse brain using multi-view deconvolution light sheet microscopy." Journal of Innovative Optical Health Sciences 10, no. 05 (2017): 1743006. http://dx.doi.org/10.1142/s1793545817430064.

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We present a three-dimensional (3D) isotropic imaging of mouse brain using light-sheet fluorescent microscopy (LSFM) in conjunction with a multi-view imaging computation. Unlike common single view LSFM is used for mouse brain imaging, the brain tissue is 3D imaged under eight views in our study, by a home-built selective plane illumination microscopy (SPIM). An output image containing complete structural information as well as significantly improved resolution ([Formula: see text]4 times) are then computed based on these eight views of data, using a bead-guided multi-view registration and deco

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Xu, Hao, Stephen Brown, Indrin J. Chetty, and Ning Wen. "A Systematic Analysis of Errors in Target Localization and Treatment Delivery for Stereotactic Radiosurgery Using 2D/3D Image Registration." Technology in Cancer Research & Treatment 16, no. 3 (2016): 321–31. http://dx.doi.org/10.1177/1533034616664425.

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Purpose: To determine the localization uncertainties associated with 2-dimensional/3-dimensional image registration in comparison to 3-dimensional/3-dimensional image registration in 6 dimensions on a Varian Edge Linac under various imaging conditions. Methods: The systematic errors in 6 dimensions were assessed by comparing automatic 2-dimensional/3-dimensional (kV/MV vs computed tomography) with 3-dimensional/3-dimensional (cone beam computed tomography vs computed tomography) image registrations under various conditions encountered in clinical applications. The 2-dimensional/3-dimensional i

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Yahanda, Alexander T., Timothy J. Goble, Peter T. Sylvester, et al. "Impact of 3-Dimensional Versus 2-Dimensional Image Distortion Correction on Stereotactic Neurosurgical Navigation Image Fusion Reliability for Images Acquired With Intraoperative Magnetic Resonance Imaging." Operative Neurosurgery 19, no. 5 (2020): 599–607. http://dx.doi.org/10.1093/ons/opaa152.

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Abstract BACKGROUND Fusion of preoperative and intraoperative magnetic resonance imaging (iMRI) studies during stereotactic navigation may be very useful for procedures such as tumor resections but can be subject to error because of image distortion. OBJECTIVE To assess the impact of 3-dimensional (3D) vs 2-dimensional (2D) image distortion correction on the accuracy of auto-merge image fusion for stereotactic neurosurgical images acquired with iMRI using a head phantom in different surgical positions. METHODS T1-weighted intraoperative images of the head phantom were obtained using 1.5T iMRI.

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Al-Habib, Amro F., and Salah Al-Akkad. "Segmental Surface Referencing during Intraoperative Three-dimensional Image-Guided Spine Navigation: An Early Validation with Comparison to Automated Referencing." Global Spine Journal 6, no. 8 (2016): 765–70. http://dx.doi.org/10.1055/s-0036-1582393.

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Study Design Interventional human cadaver study. Objective Intraoperative three-dimensional (3-D)-guided navigation improves spine instrumentation accuracy. However, image acquisition may need to be repeated with segment hypermobility or distant target from reference frame (RF). The current study evaluates the usefulness of internal metal fiducials (IMFs) as surface references in enhancing registration accuracy and avoiding repeating imaging. Methods Six fresh-frozen cadaveric human torsos were utilized. Posterior C1–T2 exposure was done, and three IMFs were inserted per level; intraoperative

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Wu, Qian, and Yifei Pi. "Improved Demons Three-Dimensional Registration Algorithm and the Application in Image-Guided Radiotherapy." Journal of Medical Imaging and Health Informatics 9, no. 9 (2019): 1887–91. http://dx.doi.org/10.1166/jmihi.2019.2810.

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Takao, Masaki, Nobuhiko Sugano, Takashi Nishii, et al. "Application of three-dimensional magnetic resonance image registration for monitoring hip joint diseases." Magnetic Resonance Imaging 23, no. 5 (2005): 665–70. http://dx.doi.org/10.1016/j.mri.2005.02.002.

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Nölker, Georg, Dieter Horstkotte, and Klaus-Jürgen Gutleben. "The Role of Three-dimensional Rotational Angiography in Atrial Fibrillation Ablation." Arrhythmia & Electrophysiology Review 2, no. 2 (2013): 120. http://dx.doi.org/10.15420/aer.2013.2.2.120.

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Three-dimensional (3D) imaging became the cornerstone of catheter guidance in atrial fibrillation (AF) ablation procedures during the last few years. Multislice computed tomography (MSCT) and magnetic resonance imaging (MRI) have been the technologies of choice for pre-procedural imaging of the left atrium (LA) and the pulmonary veins to make lesions more precisely set in a highly variable and difficult to understand 3D environment. These technologies have been used not only for pre-procedural orientation but have also been overlayed to fluoroscopic views in many fluoroscopy-guided ablation pr

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Tan, Kim K., Robert Grzeszczuk, David N. Levin, et al. "A frameless stereotactic approach to neurosurgical planning based on retrospective patient-image registration." Journal of Neurosurgery 79, no. 2 (1993): 296–303. http://dx.doi.org/10.3171/jns.1993.79.2.0296.

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✓ A frameless stereotactic device interfacing an electromagnetic three-dimensional (3-D) digitizer to a computer workstation is described. The patient-image coordinate transformation was found by retrospectively registering a digitizer-derived model of the patient's scalp with a magnetic resonance (MR) imaging-derived model of the same surface. This procedure was performed with routine imaging data, eliminating the need to obtain special-purpose MR images with fiducial markers in place. After patient-image fusion was achieved, a hand-held digitizing stylus was moved over the scalp and tracked

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Smolíková-Wachowiak, Renata, Mark P. Wachowiak, Aaron Fenster, and Maria Drangova. "Registration of two-dimensional cardiac images to preprocedural three-dimensional images for interventional applications." Journal of Magnetic Resonance Imaging 22, no. 2 (2005): 219–28. http://dx.doi.org/10.1002/jmri.20364.

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Woerdeman, Peter A., Peter W. A. Willems, Herke J. Noordmans, Cornelis A. F. Tulleken, and Jan Willem Berkelbach van der Sprenkel. "Application accuracy in frameless image-guided neurosurgery: a comparison study of three patient-to-image registration methods." Journal of Neurosurgery 106, no. 6 (2007): 1012–16. http://dx.doi.org/10.3171/jns.2007.106.6.1012.

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Object The aim of this study was to compare three patient-to-image registration methods in frameless stereotaxy in terms of their application accuracy (the accuracy with which the position of a target can be determined intraoperatively). In frameless stereotaxy, imaging information is transposed to the surgical field to show the spatial position of a localizer or surgical instrument. The mathematical relationship between the image volume and the surgical working space is calculated using a rigid body transformation algorithm, based on point-pair matching or surface matching. Methods Fifty pati

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Gierga, D. P., J. C. Turcotte, G. C. Sharp, et al. "Target Registration Error with Three-Dimensional Surface Imaging in Setup of Image-Guided Partial Breast Irradiation." International Journal of Radiation Oncology*Biology*Physics 63 (October 2005): S536—S537. http://dx.doi.org/10.1016/j.ijrobp.2005.07.906.

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Zhang, Bao, Dwayne D. Arola, Steve Roys, and Rao P. Gullapalli. "Three-dimensional Elastic Image Registration Based on Strain Energy Minimization: Application to Prostate Magnetic Resonance Imaging." Journal of Digital Imaging 24, no. 4 (2010): 573–85. http://dx.doi.org/10.1007/s10278-010-9306-5.

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Tümer, Nazlı, Aimee Kok, Frans Vos, et al. "Three-Dimensional Registration of Freehand-Tracked Ultrasound to CT Images of the Talocrural Joint." Sensors 18, no. 7 (2018): 2375. http://dx.doi.org/10.3390/s18072375.

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A rigid surface–volume registration scheme is presented in this study to register computed tomography (CT) and free-hand tracked ultrasound (US) images of the talocrural joint. Prior to registration, bone surfaces expected to be visible in US are extracted from the CT volume and bone contours in 2D US data are enhanced based on monogenic signal representation of 2D US images. A 3D monogenic signal data is reconstructed from the 2D data using the position of the US probe recorded with an optical tracking system. When registering the surface extracted from the CT scan to the monogenic signal fea

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Çallar, Tolga-Can, Elmar Rueckert, and Sven Böttger. "Efficient Body Registration Using Single-View Range Imaging and Generic Shape Templates." Current Directions in Biomedical Engineering 6, no. 3 (2020): 119–22. http://dx.doi.org/10.1515/cdbme-2020-3031.

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AbstractComputer-aided medical systems, e.g. in the fields of medical robotics or image-based assistance, are continuously investigated to overcome human limitations concerning perception, memory or dexterity. A common requirement of such systems is the availability of a digital model describing the patient’s position and morphology during a procedure. Operational complexity and technical limitations of established 3D imaging methods leave clinical settings in need of a method for the fast acquisition of a three-dimensional body surface representation. For this purpose, we propose an unsupervi

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WONG, TERENCE Z., LEONARD P. CONNOLLY, and S. TED TREVES. "Registration of Three-Dimensional Magnetic Resonance and Radionuclide Skeletal Images." Clinical Nuclear Medicine 24, no. 11 (1999): 859. http://dx.doi.org/10.1097/00003072-199911000-00008.

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Kanberoglu, Berkay, Dhritiman Das, Priya Nair, Pavan Turaga, and David Frakes. "An Optical Flow-Based Approach for Minimally Divergent Velocimetry Data Interpolation." International Journal of Biomedical Imaging 2019 (February 3, 2019): 1–14. http://dx.doi.org/10.1155/2019/9435163.

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Three-dimensional (3D) biomedical image sets are often acquired with in-plane pixel spacings that are far less than the out-of-plane spacings between images. The resultant anisotropy, which can be detrimental in many applications, can be decreased using image interpolation. Optical flow and/or other registration-based interpolators have proven useful in such interpolation roles in the past. When acquired images are comprised of signals that describe the flow velocity of fluids, additional information is available to guide the interpolation process. In this paper, we present an optical-flow bas

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Castillo, Edward, Richard Castillo, Josue Martinez, Maithili Shenoy, and Thomas Guerrero. "Four-dimensional deformable image registration using trajectory modeling." Physics in Medicine and Biology 55, no. 1 (2009): 305–27. http://dx.doi.org/10.1088/0031-9155/55/1/018.

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Augustyniak, Jakub, and Dariusz Mariusz Perkowski. "On Image Processing Algorithm for Registration of Three-Dimensional Gas Bubble Movement Using a High Speed Camera." International Journal of Engineering and Computer Science 8, no. 02 (2019): 24473–83. http://dx.doi.org/10.18535/ijecs.v8i02.4283.

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The paper deals with an imaging computer tomography method based on simple image processing techniques for two phase flow analysis. Moreover, it has been presented the algorithm of 3D bubble trajectory reconstruction using a single high speed camera and the system of mirrors. In the experiment a glass tank filled with distilled water was used. The nozzle through which the bubbles were generated was placed in the center of the tank bottom. Through the use of basic image processing and analysis techniques such as noise reduction, smoothing, edge detection and few algorithms like close contour fi

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Augustyniak, Jakub, and Dariusz Mariusz Perkowski. "On Image Processing Algorithm for Registration of Three-Dimensional Gas Bubble Movement Using a High Speed Camera." International Journal of Engineering and Computer Science 8, no. 02 (2019): 24473–83. http://dx.doi.org/10.18535/ijecs/v8i02.4283.

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The paper deals with an imaging computer tomography method based on simple image processing techniques for two phase flow analysis. Moreover, it has been presented the algorithm of 3D bubble trajectory reconstruction using a single high speed camera and the system of mirrors. In the experiment a glass tank filled with distilled water was used. The nozzle through which the bubbles were generated was placed in the center of the tank bottom. Through the use of basic image processing and analysis techniques such as noise reduction, smoothing, edge detection and few algorithms like close contour fi

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Sun, Guoxiang, Xiaochan Wang, Ye Sun, Yongqian Ding, and Wei Lu. "Measurement Method Based on Multispectral Three-Dimensional Imaging for the Chlorophyll Contents of Greenhouse Tomato Plants." Sensors 19, no. 15 (2019): 3345. http://dx.doi.org/10.3390/s19153345.

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Nondestructive plant growth measurement is essential for researching plant growth and health. A nondestructive measurement system to retrieve plant information includes the measurement of morphological and physiological information, but most systems use two independent measurement systems for the two types of characteristics. In this study, a highly integrated, multispectral, three-dimensional (3D) nondestructive measurement system for greenhouse tomato plants was designed. The system used a Kinect sensor, an SOC710 hyperspectral imager, an electric rotary table, and other components. A hetero

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Levine, Lance, and Marc Levine. "DRRGenerator: A Three-dimensional Slicer Extension for the Rapid and Easy Development of Digitally Reconstructed Radiographs." Journal of Clinical Imaging Science 10 (October 29, 2020): 69. http://dx.doi.org/10.25259/jcis_105_2020.

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As the interest in image-guided medical interventions has increased, so too has the necessity for open-source software tools to provide the required capabilities without exorbitant costs. A common issue encountered in these procedures is the need to compare computed tomography (CT) data with X-ray data, for example, to compare pre-operative CT imaging with intraoperative X-rays. A software approach to solve this dilemma is the production of digitally reconstructed radiographs (DRRs) which computationally simulate an X-ray-type image from CT data. The resultant image can be easily compared to a

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van Herk, Marcel, Allison Bruce, A. P. Guus Kroes, Tarek Shouman, Adriaan Touw, and Joos V. Lebesque. "Quantification of organ motion during conformal radiotherapy of the prostate by three dimensional image registration." International Journal of Radiation Oncology*Biology*Physics 33, no. 5 (1995): 1311–20. http://dx.doi.org/10.1016/0360-3016(95)00116-6.

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Altuntas, C. "GEOREFERENCING AND REPROJECTION ERROR INVESTIGATION ON IMAGE BASED 3D DIGITIZATION AND MAPPING OF HISTORICAL BUILDINGS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W11 (May 4, 2019): 71–75. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w11-71-2019.

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<p><strong>Abstract.</strong> Image based dense point cloud creation is easy and low-cost application for three dimensional digitization of small and large scale objects and surfaces. It is especially attractive method for cultural heritage documentation. Reprojection error on conjugate keypoints indicates accuracy of the model and keypoint localisation in this method. In addition, sequential registration of the images from large scale historical buildings creates big cumulative registration error. Thus, accuracy of the model should be increased with the control points or loo

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Teng, Xiaowen, Guangsheng Zhou, Yuxuan Wu, Chenglong Huang, Wanjing Dong, and Shengyong Xu. "Three-Dimensional Reconstruction Method of Rapeseed Plants in the Whole Growth Period Using RGB-D Camera." Sensors 21, no. 14 (2021): 4628. http://dx.doi.org/10.3390/s21144628.

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The three-dimensional reconstruction method using RGB-D camera has a good balance in hardware cost and point cloud quality. However, due to the limitation of inherent structure and imaging principle, the acquired point cloud has problems such as a lot of noise and difficult registration. This paper proposes a 3D reconstruction method using Azure Kinect to solve these inherent problems. Shoot color images, depth images and near-infrared images of the target from six perspectives by Azure Kinect sensor with black background. Multiply the binarization result of the 8-bit infrared image with the R

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Baran, Geoff, Jay Burmeister, Peter Paximadis, et al. "Imaging as Part of a Quality Assurance Program: Predictors of Interobserver Variability for Pretreatment Image Registration for Lung SBRT." Technology in Cancer Research & Treatment 18 (January 1, 2019): 153303381987079. http://dx.doi.org/10.1177/1533033819870795.

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Purpose: To evaluate the magnitude of interobserver variability in pretreatment image registration for lung stereotactic body radiation therapy patients in aggregate and within 3 clinical subgroups and to determine methods to identify patients expected to demonstrate larger variability. Methods and Materials: Retrospective image registration was performed for the first and last treatment fraction for 10 lung stereotactic body radiation therapy patients by 16 individual observers (5 physicians, 6 physicists, and 5 therapists). Registration translation values were compared within and between sub

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Taylor, Lawrence S., Brian C. Porter, Gyongyi Nadasdy, et al. "Three-dimensional registration of prostate images from histology and ultrasound." Ultrasound in Medicine & Biology 30, no. 2 (2004): 161–68. http://dx.doi.org/10.1016/j.ultrasmedbio.2003.10.005.

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Tan, I. Leng, Ronald A. van Schijndel, Petra J. W. Pouwels, Herman J. Adèr, and Frederik Barkhof. "Serial Isotropic Three-Dimensional Fast FLAIR Imaging: Using Image Registration and Subtraction to Reveal Active Multiple Sclerosis Lesions." American Journal of Roentgenology 179, no. 3 (2002): 777–82. http://dx.doi.org/10.2214/ajr.179.3.1790777.

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Fox, W. Christopher, Scott Wawrzyniak, and William F. Chandler. "Intraoperative acquisition of three-dimensional imaging for frameless stereotactic guidance during transsphenoidal pituitary surgery using the Arcadis Orbic System." Journal of Neurosurgery 108, no. 4 (2008): 746–50. http://dx.doi.org/10.3171/jns/2008/108/4/0746.

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Object Intraoperative fluoroscopy has long been used for anatomical localization in transsphenoidal pituitary surgery. More recently, frameless stereotaxy has been used to supplement 2D sagittal radiographs with 3D multiplanar reconstructions. Use of Arcadis Orbic allows both conventional fluoroscopic views and multiplanar reconstructions to be acquired intraoperatively without need for preoperative planning studies. The authors report their initial experience using Arcadis Orbic during transsphenoidal pituitary surgery. Methods To test the system, the authors placed a dehydrated human skull i

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Zhang, James Qingyang, John M. Sullivan, Hamid Ghadyani, and Donna M. Meyer. "MRI Guided 3D Mesh Generation and Registration for Biological Modeling." Journal of Computing and Information Science in Engineering 5, no. 4 (2005): 283–90. http://dx.doi.org/10.1115/1.2052828.

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An accurate three-dimensional (3D) mesh of biological models is fundamental for analysis and treatment simulations. Generally noninvasive magnetic resonance image (MRI) data are taken as the input for the simulation. The topologic relationship of anatomy is extracted from MR images through segmentation processes. To accelerate the biological modeling phase, template surface and volume meshes are generated based on MR images and∕or anatomical atlases (e.g., brain atlas, etc.). The boundary surfaces are extracted from segmented regions on the image slices, which are used as the input for 3D volu

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Tran, Huy Hoang, Kiyoshi Matsumiya, Ken Masamune, Ichiro Sakuma, Takeyoshi Dohi, and Hongen Liao. "Interactive 3D Navigation System for Image-guided Surgery." International Journal of Virtual Reality 8, no. 1 (2009): 9–16. http://dx.doi.org/10.20870/ijvr.2009.8.1.2708.

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This paper presents a novel surgery navigation system based on a three-dimensional (3D) imaging technique, integral videography (IV). In our system, the 3D structure of the object of interest is reconstructed using surface rendering and corresponding pixel distribution methods. We developed a high-speed algorithm that renders high-quality IV images from the surface model in real time and allows interactions like rotating and scaling to be done smoothly. Using the patient-image registration method, IV images can be displayed with the correct size and relative position with respect to the surgic

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Lin, Sheng-Kai, Rong-Chin Lo, and Ren-Guey Lee. "MEG–MRI CO-REGISTRATION USING 3D GENERALIZED HOUGH TRANSFORM." Biomedical Engineering: Applications, Basis and Communications 32, no. 04 (2020): 2050028. http://dx.doi.org/10.4015/s1016237220500283.

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In this paper, we propose a method to use the three-dimensional (3D) generalized Hough transform (GHT) to co-register magnetoencephalography (MEG) and magnetic resonance imaging (MRI) of a brain automatically, whose results can be used to align MRI images and MEG data accurately and efficiently. Recently, many medical devices have been developed to study the neuronal activity in the human brain. MEG is a high-temporal-resolution measurement tool to study the physiological functions of brain nerves noninvasively; whereas the MRI of the scalp, skull, and cortex of the human brain is a high-spati

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Michálek, Jan, Martin Čapek, and Lucie Kubínová. "Nonrigid Registration of CLSM Images of Physical Sections with Discontinuous Deformations." Microscopy and Microanalysis 17, no. 6 (2011): 923–36. http://dx.doi.org/10.1017/s1431927611011937.

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AbstractWhen biological specimens are cut into physical sections for three-dimensional (3D) imaging by confocal laser scanning microscopy, the slices may get distorted or ruptured. For subsequent 3D reconstruction, images from different physical sections need to be spatially aligned by optimization of a function composed of a data fidelity term evaluating similarity between the reference and target images, and a regularization term enforcing transformation smoothness. A regularization term evaluating the total variation (TV), which enables the registration algorithm to account for discontinuit

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Aykin, Murat D., and Shahriar Negahdaripour. "On Feature Matching and Image Registration for Two-dimensional Forward-scan Sonar Imaging." Journal of Field Robotics 30, no. 4 (2013): 602–23. http://dx.doi.org/10.1002/rob.21461.

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Spatz, Jordan M., Andrew K. Conner, Jacob S. Young, and Philip A. Starr. "Intraoperative Stereotactic Frame Registration Using a Three-Dimensional Imaging System with and without Preoperative Computed Tomography for Image Fusion." Stereotactic and Functional Neurosurgery 98, no. 5 (2020): 313–18. http://dx.doi.org/10.1159/000509312.

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Yu, Haiyan, Sihao Xia, Chenxi Wei, et al. "Automatic projection image registration for nanoscale X-ray tomographic reconstruction." Journal of Synchrotron Radiation 25, no. 6 (2018): 1819–26. http://dx.doi.org/10.1107/s1600577518013929.

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Novel developments in X-ray sources, optics and detectors have significantly advanced the capability of X-ray microscopy at the nanoscale. Depending on the imaging modality and the photon energy, state-of-the-art X-ray microscopes are routinely operated at a spatial resolution of tens of nanometres for hard X-rays or ∼10 nm for soft X-rays. The improvement in spatial resolution, however, has led to challenges in the tomographic reconstruction due to the fact that the imperfections of the mechanical system become clearly detectable in the projection images. Without proper registration of the pr

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Tan, Zhibo, Chuanyao Liu, Ying Zhou, and Weixi Shen. "Preliminary comparison of the registration effect of 4D-CBCT and 3D-CBCT in image-guided radiotherapy of Stage IA non–small-cell lung cancer." Journal of Radiation Research 58, no. 6 (2017): 854–61. http://dx.doi.org/10.1093/jrr/rrx040.

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Abstract In this study, we compared the registration effectiveness of 4D cone-beam computed tomography (CBCT) and 3D-CBCT for image-guided radiotherapy in 20 Stage IA non–small-cell lung cancer (NSCLC) patients. Patients underwent 4D-CBCT and 3D-CBCT immediately before radiotherapy, and the X-ray Volume Imaging software system was used for image registration. We performed automatic bone registration and soft tissue registration between 4D-CBCT or 3D-CBCT and 4D-CT images; the regions of interest (ROIs) were the vertebral body on the layer corresponding to the tumor and the internal target volu

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Kassam, Ariff, and Michael L. Wood. "Fourier registration of three-dimensional brain MR images: Exploiting the axis of rotation." Journal of Magnetic Resonance Imaging 6, no. 6 (1996): 894–902. http://dx.doi.org/10.1002/jmri.1880060610.

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