Relevant bibliographies by topics / Image registration. Three-dimensional imaging

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Image registration. Three-dimensional imaging'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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

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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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Dissertations / Theses on the topic "Image registration. Three-dimensional imaging"

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Prasai, Persis. "Multimodality image registration." Birmingham, Ala. : University of Alabama at Birmingham, 2006. http://www.mhsl.uab.edu/dt/2007m/prasai.pdf.

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Baum, Karl G. "Multimodal breast imaging : registration, visualization, and image synthesis /." Online version of thesis, 2008. http://hdl.handle.net/1850/7063.

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Pagoulatos, Nikolaos. "Algorithms and systems for registration of two-dimensional and three-dimensional ultrasound images /." Thesis, Connect to this title online; UW restricted, 2002. http://hdl.handle.net/1773/6035.

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Kang, Xin, and 康欣. "Feature-based 2D-3D registration and 3D reconstruction from a limited number of images via statistical inference for image-guidedinterventions." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B48079625.

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Traditional open interventions have been progressively replaced with minimally invasive techniques. Most notably, direct visual feedback is transitioned into indirect, image-based feedback, leading to the wide use of image-guided interventions (IGIs). One essential process of all IGIs is to align some 3D data with 2D images of patient through a procedure called 3D-2D registration during interventions to provide better guidance and richer information. When the 3D data is unavailable, a realistic 3D patient-speci_c model needs to be constructed from a few 2D images. The dominating methods
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Chan, Ho-Ming. "A supervised learning framework for multi-modal rigid registration with applications to angiographic images /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?COMP%202003%20CHAN.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2003.<br>Includes bibliographical references (leaves 60-62). Also available in electronic version. Access restricted to campus users.
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Huang, Wei. "Automatic affine and elastic registration strategies for multi-dimensional medical images." Link to electronic thesis, 2007. http://www.wpi.edu/Pubs/ETD/Available/etd-050207-145713/.

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Carstens, Jacobus Everhardus. "Fast generation of digitally reconstructed radiographs for use in 2D-3D image registration." Thesis, Link to the online version, 2008. http://hdl.handle.net/10019/1797.

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Ettinger, Gil J. "Hierarchical three-dimensional medical image registration." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/10448.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.<br>Includes bibliographical references (leaves 168-172).<br>by Gil J. Ettinger.<br>Ph.D.
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Sabino, Danilo Damasceno. "Development of a 3D multi-camera measurement system based on image stitching techniques applied for dynamic measurements of large structures." Ilha Solteira, 2018. http://hdl.handle.net/11449/157103.

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Orientador: João Antonio Pereira<br>Resumo: O objetivo específico deste trabalho é estender as capacidades da técnica de rastreamento de pontos em 3 dimensões (three-dimensional point tracking – 3DPT) para identificar as características dinâmicas de estruturas grandes e complexas, tais como pás de turbina eólica. Um sistema multi-camera (composto de múltiplos sistemas de estéreo visão calibrados independentemente) é desenvolvido para obter alta resolução espacial de pontos discretos a partir de medidas de deslocamento sobre grandes áreas. Uma proposta de técnica de costura é apresentada e empr
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Walimbe, Vivek S. "Interactive, quantitative 3D stress echocardiography and myocardial perfusion spect for improved diagnosis of coronary artery disease." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1154710169.

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Books on the topic "Image registration. Three-dimensional imaging"

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Argyriou, Vasileios. Image, video & 3D data registration: Medical, satellite and video processing applications with quality metrics. Wiley, 2015.

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Zawieska, Dorota. Wieloobrazowe dopasowanie zdjęć bliskiego zasięgu do automatycznej rekonstrukcji fotorealistycznych modeli 3D: Multi-image matching of close range photographs for photorealistic 3D models reconstruction. Oficyna Wydawnicza Politechniki Warszawskiej, 2013.

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Fischer, Bernd. Biomedical Image Registration: 4th International Workshop, WBIR 2010, Lübeck, Germany, July 11-13, 2010. Proceedings. Springer-Verlag Berlin Heidelberg, 2010.

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Daniel, Rueckert, Noble Alison, Hawkes David, Taylor Chris, and SpringerLink (Online service), eds. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009: 12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part II. Springer Berlin Heidelberg, 2009.

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Toriwaki, Junichiro. Fundamentals of Three-Dimensional Digital Image Processing. Springer London, 2009.

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Westermann, Birgit. Parallel volume rendering for image-guided surgery. Shaker Verlag, 1998.

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Hässler, Ulrike. 3D Imaging. Springer, 1997.

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Medical, Data International Inc. Image-guided interventions. Medical Data International, 1999.

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Goshtasby, Ardeshir. 2-D and 3-D Image Registration. John Wiley & Sons, Ltd., 2005.

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Shing-Chow, Chan, and Kang Sing Bing, eds. Image-based rendering. Springer, 2007.

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Book chapters on the topic "Image registration. Three-dimensional imaging"

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Sidorov, Kirill, David Marshall, and Stephen Richmond. "Nonrigid Image Registration Using Groupwise Methods." In Three-Dimensional Imaging for Orthodontics and Maxillofacial Surgery. John Wiley & Sons, Ltd., 2013. http://dx.doi.org/10.1002/9781118786642.ch18.

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Cevidanes, Lucia H. S., Martin Styner, and William R. Profitt. "Referencing and Registration of Three-Dimensional Images." In Three-Dimensional Imaging for Orthodontics and Maxillofacial Surgery. John Wiley & Sons, Ltd., 2013. http://dx.doi.org/10.1002/9781118786642.ch6.

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Heyde, Brecht, Daniel Barbosa, Piet Claus, Frederik Maes, and Jan D’hooge. "Three-Dimensional Cardiac Motion Estimation Based on Non-rigid Image Registration Using a Novel Transformation Model Adapted to the Heart." In Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36961-2_17.

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Kadoury, Samuel. "Three-Dimensional Spine Reconstruction from Radiographs." In Spinal Imaging and Image Analysis. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12508-4_6.

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Tennakoon, Ruwan, Alireza Bab-Hadiashar, and Zhenwei Cao. "Nonlinear Approaches in Three Dimensional Medical Image Registration." In Nonlinear Approaches in Engineering Applications. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09462-5_10.

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Iida, Kohji, Tohru Mukai, Yoshinao Aoki, and Tomoko Hayakawa. "Three Dimensional Interpretation of Sonar Image for Fisheries Research." In Acoustical Imaging. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4419-8772-3_94.

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Kim, Sung Kyu, Chaewook Lee, and Kyung Tae Kim. "Multi-view Image Acquisition and Display." In Three-dimensional Imaging, Visualization, and Display. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-79335-1_12.

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Szczypiński, Piotr M., and Artur Klepaczko. "Deformable Mesh for Regularization of Three-Dimensional Image Registration." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23762-2_7.

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Defrise, M., R. Clack, and D. Townsend. "New Techniques for Truly Three-Dimensional Image Reconstruction." In Information Processing in Medical Imaging. Springer US, 1988. http://dx.doi.org/10.1007/978-1-4615-7263-3_10.

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Fuchs, Henry. "Systems for Display of Three-Dimensional Medical Image Data." In 3D Imaging in Medicine. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-84211-5_21.

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Conference papers on the topic "Image registration. Three-dimensional imaging"

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Neiw, Han-Min, Chin-Tu Chen, Wei-Chung Lin, and Charles A. Pelizzari. "Automated three-dimensional registration of medical images." In Medical Imaging V: Image Processing, edited by Murray H. Loew. SPIE, 1991. http://dx.doi.org/10.1117/12.45223.

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de Ryk, Jessica, Jamie Weydert, Gary Christensen, et al. "Three-dimensional histopathology of lung cancer with multimodality image registration." In Medical Imaging, edited by Josien P. W. Pluim and Joseph M. Reinhardt. SPIE, 2007. http://dx.doi.org/10.1117/12.710597.

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Zhao, Jianping, Huamin Yang, and Ying Ding. "Registration algorithm research for three dimensional medical image." In International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, edited by Liwei Zhou. SPIE, 2007. http://dx.doi.org/10.1117/12.790756.

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Blumenfeld, Janet, Colin Studholme, Julio Carballido-Gamio, Thomas M. Link, and Sharmila Majumdar. "Three-dimensional image registration of MR proximal femur images for the analysis of trabecular bone parameters." In Medical Imaging, edited by Joseph M. Reinhardt and Josien P. W. Pluim. SPIE, 2008. http://dx.doi.org/10.1117/12.770460.

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Morioka, Craig A., Kelby K. Chan, and H. K. Huang. "Parallel constructs for three-dimensional registration on a SIMD (single-instruction stream/multiple-data stream) processor." In Medical Imaging V: Image Processing, edited by Murray H. Loew. SPIE, 1991. http://dx.doi.org/10.1117/12.45250.

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Neemuchwala, Huzefa F., and Alfred O. Hero. "Image registration in high-dimensional feature space." In Electronic Imaging 2005, edited by Charles A. Bouman and Eric L. Miller. SPIE, 2005. http://dx.doi.org/10.1117/12.597635.

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Fei, Zixuan, Xiaofei gao, Rui Jin, Chao Wang, and Xiang Zhou. "A three dimensional point cloud registration method based on rotation matrix eigenvalue." In Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2017, edited by Jean J. Dolne and Rick P. Millane. SPIE, 2017. http://dx.doi.org/10.1117/12.2276849.

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Karnik, V., A. Fenster, J. Bax, et al. "Assessment of registration accuracy in three-dimensional transrectal ultrasound images of prostates." In SPIE Medical Imaging. SPIE, 2010. http://dx.doi.org/10.1117/12.844332.

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Hassenpflug, Peter, Max Schobinger, Marcus Vetter, et al. "Generation of attributed relational vessel graphs from three-dimensional freehand ultrasound for intraoperative registration in image-guided liver surgery." In Medical Imaging 2003, edited by Robert L. Galloway, Jr. SPIE, 2003. http://dx.doi.org/10.1117/12.479874.

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Galloway, Jr., Robert L., Charles A. Edwards II, Gerald L. Haden, and Robert J. Maciunas. "Creation of a wire-frame model for three-dimensional registration of raster image regions of interest." In Medical Imaging '90, Newport Beach, 4-9 Feb 90, edited by Yongmin Kim. SPIE, 1990. http://dx.doi.org/10.1117/12.18874.

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