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Relevant bibliographies by topics / Image reconstruction. Three-dimensional imaging. Diagnostic imaging

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

Author: Grafiati

Published: 4 June 2021

Last updated: 11 February 2022

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

1

Boag, A. H., L. A. Kennedy, and M. J. Miller. "Three-Dimensional Microscopic Image Reconstruction of Prostatic Adenocarcinoma." Archives of Pathology & Laboratory Medicine 125, no. 4 (2001): 562–66. http://dx.doi.org/10.5858/2001-125-0562-tdmiro.

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Abstract Context.—Routine microscopy provides only a 2-dimensional view of the complex 3-dimensional structure that makes up human tissue. Three-dimensional microscopic image reconstruction has not been described previously for prostate cancer. Objectives.—To develop a simple method of computerized 3-dimensional image reconstruction and to demonstrate its applicability to the study of prostatic adenocarcinoma. Methods.—Serial sections were cut from archival paraffin-embedded prostate specimens, immunostained using antikeratin CAM5.2, and digitally imaged. Computer image–rendering software was

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JAMES, S. E., R. RICHARDS, and D. A. McGROUTHER. "Three-Dimensional CT Imaging of the Wrist." Journal of Hand Surgery 17, no. 5 (1992): 504–6. http://dx.doi.org/10.1016/s0266-7681(05)80230-x.

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Three-dimensional computerized tomography provides a new approach to radiological imaging. Raw data from sequential two-dimensional scans have been reconstructed as a three-dimensional model of the carpal area using the Medical Graphics and Imaging Workstation. This study demonstrates the anatomical accuracy and potential diagnostic qualities of a reconstruction of the carpus using this system. The advantages, pitfalls and suggested applications of this technique of carpal imaging are discussed. Three-dimensional imaging is shown to provide a great deal of information which cannot be viewed on

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Wang, Lijuan, and Gaoyuan Cui. "The Value of Computed Tomography Three-Dimensional Imaging Technology in the Diagnosis and Treatment of Sports Knee Ligament Strain." Journal of Medical Imaging and Health Informatics 10, no. 9 (2020): 2067–72. http://dx.doi.org/10.1166/jmihi.2020.3123.

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Objective: To improve the efficiency and accuracy of the diagnosis and treatment of sports knee ligament strain, the application value of computerized tomography (CT) three-dimensional (3D) imaging technology in the diagnosis and treatment of sports knee ligament strain is studied. Methods: This study proposes a method for CT 3D image reconstruction based on the model clustering algorithm. First, the knee joint CT images of research objects are preprocessed. Second, based on the preprocessing, the healthy adult male knee ligament distribution structure map is used as a reference model. The mod

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Du, Xu. "Application of CT Three-Dimensional Image in the Diagnostic Evaluation and Treatment of Sports Knee Ligament Strain." Journal of Medical Imaging and Health Informatics 11, no. 1 (2021): 276–81. http://dx.doi.org/10.1166/jmihi.2021.3503.

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Objective: This paper explores the value of CT three-dimensional reconstruction image technology in the diagnosis and treatment of anterior cruciate ligament injury of the knee joint. Methods: The paper selected March 2017–April 2018 to treat and diagnose the reconstructed images in our hospital and imported them into MIMICSl0.01 for 3D reconstruction of the knee joint, and segmented and isolated the anterior cruciate ligament model. The lengths of the anterior and posterior outer edges of the anterior cruciate ligament separated at 0° and 90° were measured respectively: the angles between the

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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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Yang, Ting, and Hui Yu. "Diagnostic Value of Multi-Row Spiral CT Imaging in Emergency Connoisseurs Injury Combined with Shock." Journal of Medical Imaging and Health Informatics 11, no. 8 (2021): 2280–88. http://dx.doi.org/10.1166/jmihi.2021.3539.

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In this paper, multi-slice spiral CT imaging is used to diagnose emergency connoisseurs injury hemorrhagic shock and brain perfusion scans in patients with the connoisseur’s injury. The EDS spectrum of multi-slice spiral CT obtained Perfusion imaging as the perfusion parameters. The patient’s CTA and volume reproduction images can be displayed at the same time. The patient’s diagnostic relationship can be visually observed. The best results set up two recommended schemes and compare the perfusion parameters and radiation dose with the standard control group. Ensuring the image quality required

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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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Li, Xianyu, Yulin He, and Qun Hua. "Application of Computed Tomographic Image Reconstruction Algorithms Based on Filtered Back-Projection in Diagnosis of Bone Trauma Diseases." Journal of Medical Imaging and Health Informatics 10, no. 5 (2020): 1219–24. http://dx.doi.org/10.1166/jmihi.2020.3036.

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Objective: To improve the diagnostic rate of bone trauma diseases by applying image reconstruction algorithm based on filtered back-projection to CT images of bone trauma. Methods: Sixty-three patients with bone trauma in our hospital were selected. After hospitalization, 63 patients took satisfactory localization images to make the lesions on the localization images close to or even exceed the resolution of conventional X-ray films. After scanning, the post-processing workstation software was used for post-processing of image reconstruction algorithm based on filtered back-projection. Finally

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Ishikawa, Takuya, Shigeru Suzuki, Yoshiaki Katada, et al. "Evaluation of three-dimensional iterative image reconstruction in virtual monochromatic imaging at 40 kilo-electron volts: phantom and clinical studies to assess the image noise and image quality in comparison with other reconstruction techniques." British Journal of Radiology 93, no. 1110 (2020): 20190675. http://dx.doi.org/10.1259/bjr.20190675.

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Objective: The purpose of this study was to evaluate the image quality in virtual monochromatic imaging (VMI) at 40 kilo-electron volts (keV) with three-dimensional iterative image reconstruction (3D-IIR). Methods: A phantom study and clinical study (31 patients) were performed with dual-energy CT (DECT). VMI at 40 keV was obtained and the images were reconstructed using filtered back projection (FBP), 50% adaptive statistical iterative reconstruction (ASiR), and 3D-IIR. We conducted subjective and objective evaluations of the image quality with each reconstruction technique. Results: The imag

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Schlachetzki, Felix, Thilo Hoelscher, Odo-Winfried Ullrich, Berthold Schalke, and Ulrich Bogdahn. "Dynamic and three dimensional transcranial ultrasonography of an arachnoid cyst in the cerebral convexity." Journal of Neurosurgery 94, no. 4 (2001): 655–59. http://dx.doi.org/10.3171/jns.2001.94.4.0655.

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✓ Structural imaging of the brain, such as cerebral computerized tomography (CT) and magnetic resonance (MR) imaging, is state-of-the-art. Dynamic transcranial (dTC) ultrasonography and three-dimensional (3D) transcranial color-coded duplex (TCC) ultrasonography are complementary, noninvasive procedures with the capacity for real-time imaging, which may aid in the temporary management of space-occupying lesions. A 16-year-old woman presented with recurrent tension-type headaches. A space-occupying arachnoid cyst in the cerebral convexity was demonstrated on MR images. The patient underwent an

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

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Cai, Hongmin. "Quality enhancement and segmentation for biomedical images." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B39380130.

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Cai, Hongmin, and 蔡宏民. "Quality enhancement and segmentation for biomedical images." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B39380130.

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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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Stazyk, Michael Walter. "Radon Transform in three dimensional image reconstruction from projections." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/28726.

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This thesis presents an algorithm for image reconstruction from projections intended for use in a new class of volume imaging PET scanners. The algorithm is based on the inversion of the three dimensional Radon Transform as it applies to the truncated cylindrical detector geometry and is derived from the X-ray Transform inversion given by the Orlov recovery operator. The algorithm is tested using Monte Carlo simulations of several phantom geometries and employs a single iterative step to include all detected events in the reconstruction. The reconstructed images are good representations of

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Bennett, Stuart Charles. "Three-dimensional reconstruction outside of the laboratory." Thesis, University of Cambridge, 2014. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.708326.

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Zhang, Xin, and 张鑫. "Sectional image reconstruction in optical scanning holography." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B4476487X.

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Li, Yan, and 李燕. "3D reconstruction and camera calibration from circular." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://ndltd.ncl.edu.tw/handle/41449873847192900368.

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Wong, Wilbur Chun-Kit. "Segmentation algorithms for quantitative analysis of vascular abnormalities on three dimensional angiography /." View abstract or full-text, 2006. http://library.ust.hk/cgi/db/thesis.pl?COMP%202006%20WONG.

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Wong, Wilbur Chun-Kit. "Three dimensional vascular segmentation based on maximum intensity projections and orientation tensors /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?COMP%202003%20WONGWI.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2003.<br>Includes bibliographical references (leaves 107-113). Also available in electronic version. Access restricted to campus users.

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Pan, Qi. "Rapid 3D model reconstruction from a single camera." Thesis, University of Cambridge, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.610735.

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Books on the topic "Image reconstruction. Three-dimensional imaging. Diagnostic imaging"

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Kretschmann, Hans-Joachim. Neurofunctional systems: 3D reconstructions with correlated neuroimaging. Thieme, 1998.

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Webb, Andrew R. Introduction to biomedical imaging. Wiley, 2003.

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1937-, Höhne K. H., Fuchs Henry 1948-, Pizer Stephen M, and North Atlantic Organization. Scientific Affairs Division., eds. 3D imaging in medicine: Algorithms, systems, applications. Springer-Verlag, 1990.

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Clough, Anne V. Medical imaging 2008: Physiology, function, and structure from medical images : 17-19 February 2008, San Diego, California, USA. Edited by Society of Photo-optical Instrumentation Engineers and American Association of Physicists in Medicine. SPIE, 2008.

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Salzmann, Mathieu. Deformable surface 3D reconstruction from monocular images. Morgan & Claypool, 2011.

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Nitschke, Christian. 3D reconstruction: Real-time volumetric scene reconstruction from multiple views. VDM, Verlag Dr. Müller, 2007.

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Wong, Kenneth H. Medical imaging 2010: Visualization, image-guided procedures, and modeling : 14-16 February 2010, San Diego, California, United States. SPIE, 2010.

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Wong, Kenneth H. Medical imaging 2010: Visualization, image-guided procedures, and modeling : 14-16 February 2010, San Diego, California, United States. SPIE, 2010.

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Wong, Kenneth H., and Michael I. Miga. Medical imaging 2009: Visualization, image-guided procedures, and modeling : 8-10 February 2009, Lake Buena Vista, Florida, United States. Edited by SPIE (Society) and American Association of Physicists in Medicine. SPIE, 2009.

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C, Hemmy D., and Cooter R. D, eds. Craniofacial deformities: Atlas of three dimensional reconstruction from computed tomography. Springer-Verlag, 1989.

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

1

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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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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Kim, Daesuk, and Bahram Javidi. "3-D Image Reconstruction with Elemental Images Printed on Paper." In Three-dimensional Imaging, Visualization, and Display. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-79335-1_6.

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Tu, Liyun, Antonio R. Porras, Araceli Morales, et al. "Three-Dimensional Face Reconstruction from Uncalibrated Photographs: Application to Early Detection of Genetic Syndromes." In Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32689-0_19.

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Tiwari, Shailendra, and Rajeev Srivastava. "Research and Developments in Medical Image Reconstruction Methods and Its Applications." In Medical Imaging. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0571-6.ch019.

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Image reconstruction from projection is the field that lays the foundation for Medical Imaging or Medical Image Processing. The rapid and proceeding progress in medical image reconstruction, and the related developments in analysis methods and computer-aided diagnosis, has promoted medical imaging into one of the most important sub-fields in scientific imaging. Computer technology has enabled tomographic and three-dimensional reconstruction of images, illustrating both anatomical features and physiological functioning, free from overlying structures. In this chapter, the authors share their opinions on the research and development in the field of Medical Image Reconstruction Techniques, Computed Tomography (CT), challenges and the impact of future technology developments in CT, Computed Tomography Metrology in industrial research & development, technology, and clinical performance of different CT-scanner generations used for cardiac imaging, such as Electron Beam CT (EBCT), single-slice CT, and Multi-Detector row CT (MDCT) with 4, 16, and 64 simultaneously acquired slices. The authors identify the limitations of current CT-scanners, indicate potential of improvement and discuss alternative system concepts such as CT with area detectors and Dual Source CT (DSCT), recent technology with a focus on generation and detection of X-rays, as well as image reconstruction are discussed. Furthermore, the chapter includes aspects of applications, dose exposure in computed tomography, and a brief overview on special CT developments. Since this chapter gives a review of the major accomplishments and future directions in this field, with emphasis on developments over the past 50 years, the interested reader is referred to recent literature on computed tomography including a detailed discussion of CT technology in the references section.

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Tiwari, Shailendra, and Rajeev Srivastava. "Research and Developments in Medical Image Reconstruction Methods and its Applications." In Research Developments in Computer Vision and Image Processing. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4558-5.ch014.

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Image reconstruction from projection is the field that lays the foundation for Medical Imaging or Medical Image Processing. The rapid and proceeding progress in medical image reconstruction, and the related developments in analysis methods and computer-aided diagnosis, has promoted medical imaging into one of the most important sub-fields in scientific imaging. Computer technology has enabled tomographic and three-dimensional reconstruction of images, illustrating both anatomical features and physiological functioning, free from overlying structures.In this chapter, the authors share their opinions on the research and development in the field of Medical Image Reconstruction Techniques, Computed Tomography (CT), challenges and the impact of future technology developments in CT, Computed Tomography Metrology in industrial research & development, technology, and clinical performance of different CT-scanner generations used for cardiac imaging, such as Electron Beam CT (EBCT), single-slice CT, and Multi-Detector row CT (MDCT) with 4, 16, and 64 simultaneously acquired slices. The authors identify the limitations of current CT-scanners, indicate potential of improvement and discuss alternative system concepts such as CT with area detectors and Dual Source CT (DSCT), recent technology with a focus on generation and detection of X-rays, as well as image reconstruction are discussed. Furthermore, the chapter includes aspects of applications, dose exposure in computed tomography, and a brief overview on special CT developments. Since this chapter gives a review of the major accomplishments and future directions in this field, with emphasis on developments over the past 50 years, the interested reader is referred to recent literature on computed tomography including a detailed discussion of CT technology in the references section.

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Cavalcante, Joao, Florian von Knobelsdorff, and Saul Myerson. "Valve disease." In The EACVI Textbook of Cardiovascular Magnetic Resonance, edited by Massimo Lombardi, Sven Plein, Steffen Petersen, et al. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198779735.003.0038.

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Although echocardiography remains the primary imaging modality for valvular heart disease (VHD) diagnosis, cardiac magnetic resonance (CMR) has gained much interest in this field over the last few years. CMR allows for three-dimensional imaging of the cardiovascular system, using a large field of view, and reconstruction in any given plane. Its capability to quantify flow allows for accurate measurement of regurgitation, cardiac shunt volumes/ratios, and differential flow volumes (e.g. left and right pulmonary arteries). In addition, CMR provides insights into the aetiology/mechanism of VHD, the precise quantification of VHD severity, and the evaluation of myocardial response (function, remodelling, and fibrosis). This chapter discusses several CMR techniques for evaluation of patients with VHD. Important tips and pitfalls in the image acquisition and post-processing analysis will be also discussed, providing the users the necessary framework for its clinical application.

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Ferrari, Claudio, Stefano Berretti, and Alberto del Bimbo. "Single View 3D Face Reconstruction." In Recent Advances in 3D Imaging, Modeling, and Reconstruction. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-5294-9.ch010.

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3D face reconstruction from a single 2D image is a fundamental computer vision problem of extraordinary difficulty that dates back to the 1980s. Briefly, it is the task of recovering the three-dimensional geometry of a human face from a single RGB image. While the problem of automatically estimating the 3D structure of a generic scene from RGB images can be regarded as a general task, the particular morphology and non-rigid nature of human faces make it a challenging problem for which dedicated approaches are still currently studied. This chapter aims at providing an overview of the problem, its evolutions, the current state of the art, and future trends.

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MEIKLE, S. R., J. C. MATTHEWS, V. J. CUNNINGHAM, D. L. BAILEY, T. JONES, and P. PRICE. "Parametric Image Reconstruction Using Spectral Analysis of (Rebinned) Three-Dimensional Projection Data 1 1Transcripts of the BRAINPET97 discussion of this chapter can be found in Section VIII." In Quantitative Functional Brain Imaging with Positron Emission Tomography. Elsevier, 1998. http://dx.doi.org/10.1016/b978-012161340-2/50009-3.

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Kotwicki, T., S. Rubczak, and P. Glowka. "Three-dimensional reconstruction of intervertebral disc based on magnetic resonance imaging in patients with acute low back pain." In Studies in Health Technology and Informatics. IOS Press, 2021. http://dx.doi.org/10.3233/shti210436.

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The aim of the study is to evaluate the morphology of the intervertebral discs visible in the magnetic resonance image in patients with sudden severe low back pain (with or without radiation of pain to the lower limb). The second goal of the study is to perform a digital three-plane reconstruction of the intervertebral disc and to compare this technique with a standard magnetic resonance imaging test. Twenty-five patients, mean age 35.5 years, all with acute low back pain, were examined. We compared the 3D MR models with standard MRI scans by measuring seven MRI parameters. In patients with sudden, severe low back pain, with clinical symptoms suggesting an etiology within the intervertebral disc, changes in a standard MRI are found consisting of the presence of a hernia / protrusion of the intervertebral disc and lowering the height of the intervertebral disc – with lowering the disc height occurs to a greater extent in the rear section. The 3D reconstruction is a reliable 3D representation of the intervertebral disc and adjacent vertebral bodies.

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

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Medelli´n Castillo, Hugo I., and Manuel A. Ochoa Alfaro. "Development of a Tridimensional Visualization and Model Reconstruction System Based on Computed Tomographic Data." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-62822.

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Medical image processing constitutes an important research area of the biomedical engineering since it provides accurate human body information for 3D visualization and analysis, diagnostic, surgical treatment planning, surgical training, prosthesis and implant design, wafer and surgical guides design. Computed tomography (CT) and magnetic resonance imaging (MRI) have had a great impact in the medicine since they can represent complex three dimensional (3D) anomalities or deformities. In this paper, the development of a system for tridimensional visualization and model reconstruction based on

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Wong, Sau-hoi, and Kwok-Leung Chan. "New interpolation algorithm for three-dimensional medical image reconstruction." In Medical Imaging 1996, edited by Yongmin Kim. SPIE, 1996. http://dx.doi.org/10.1117/12.238482.

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Nett, Brian. "Three dimensional image guided extrapolation for cone-beam CT image reconstruction." In SPIE Medical Imaging, edited by Bruce R. Whiting and Christoph Hoeschen. SPIE, 2014. http://dx.doi.org/10.1117/12.2043609.

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Yokouchi, Masahito, and Yasuhiro Takaki. "Grayscale image reconstruction by horizontally scanning holographic display." In Digital Holography and Three-Dimensional Imaging. OSA, 2011. http://dx.doi.org/10.1364/dh.2011.dmc4.

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Gülses, A. Alkan, and B. Keith Jenkins. "Multi-Plane Image Reconstruction Using Cascaded Phase Elements." In Digital Holography and Three-Dimensional Imaging. OSA, 2012. http://dx.doi.org/10.1364/dh.2012.dm4c.2.

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Zhang, Xin, Edmund Y. Lam, and T. C. Poon. "Fast iterative sectional image reconstruction in optical scanning holography." In Digital Holography and Three-Dimensional Imaging. OSA, 2009. http://dx.doi.org/10.1364/dh.2009.dma3.

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Jiang, Huabei. "Three-Dimensional Optical Image Reconstruction: Finite Element Approach." In Advances in Optical Imaging and Photon Migration. OSA, 1998. http://dx.doi.org/10.1364/aoipm.1998.atuc3.

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McCauley, Thomas G., Alexander X. Stewart, Martin J. Stanton, Tao Wu, and Walter C. Phillips. "Three-dimensional breast image reconstruction from a limited number of views." In Medical Imaging 2000, edited by James T. Dobbins III and John M. Boone. SPIE, 2000. http://dx.doi.org/10.1117/12.384513.

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Bailleul, Jonathan, Hui Liu, Bertrand Simon, Matthieu Debailleul, and Olivier Haeberlé. "Image acquisition, processing and reconstruction in holographic and tomographic diffractive microscopy." In Digital Holography and Three-Dimensional Imaging. OSA, 2014. http://dx.doi.org/10.1364/dh.2014.dm3b.1.

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Hong, Keehoon, Yongjun Lim, and Byoungho Lee. "Multi-view image reconstruction by using holographic lens array recorded on photopolymer." In Digital Holography and Three-Dimensional Imaging. OSA, 2011. http://dx.doi.org/10.1364/dh.2011.dtuc6.

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