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Segmentation of 3D Medical Structures Using Robust Ray Propagation
[chapter]
2002
Lecture Notes in Computer Science
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A robust and efficient method for the segmentation of 3D structures in CT and MR images is presented. ...
Specifically, ray propagation is used to guide an evolving surface due to its computational efficiency. ...
In this paper, we extend the technique to the segmentation of 3D medical structures and demonstrate it on aneurysms in 3D CTA data. ...
doi:10.1007/3-540-45786-0_71
fatcat:wxmirmy5bjd3xju66lofvrhccy
Mathematical Methods in Biomedical Imaging
2013
Computational and Mathematical Methods in Medicine
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For ultrasound imaging model, a common carotid artery segmentation scheme based on active shape model can get better result and promote the translation of carotid 3D US to clinical care for the monitoring ...
X-ray computed tomography (CT) was a successful application of mathematical method in medical imaging. The CT mathematical model can be reduced to a Radon transform. ...
For ultrasound imaging model, a common carotid artery segmentation scheme based on active shape model can get better result and promote the translation of carotid 3D US to clinical care for the monitoring ...
doi:10.1155/2013/932794
pmid:24386007
pmcid:PMC3872393
fatcat:ylci4yktvbae5kg3e7pga6nhjy
Robust Optimization-Based Coronary Artery Labeling From X-Ray Angiograms
2016
IEEE journal of biomedical and health informatics
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Then, instead of using the candidates directly, we use the Grow Cut [1] method which is similar with Graph Cut [2] but with better performance to extract the precise vessel structure from the images. ...
Finally, we formulate the vessel labeling problem as an energy optimization problem and solve it using belief propagation. ...
[8] used the eigenvalues of Hessian matrix to extract the tube-like structures from X-ray images. Condurache et al. ...
doi:10.1109/jbhi.2015.2485227
pmid:26441457
fatcat:6gc76tc7hfa5hmf4coygploruq
Model-based Automatic Segmentation of Ascending Aorta from Multimodality Medical Data
2016
International Journal of Electrical and Computer Engineering (IJECE)
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The detection and segmentation of the ascending aorta succeeded in all test cases acquired from the two imaging modalities; proving the robustness of the proposed ascending aorta model and algorithm for ...
The proposed algorithm is fully automatic, works in real-time and robust as parameters used are the same for all the tested datasets. ...
Center to Edge Ray-Search-Based Propagation Region Growing Algorithm Seeded region growing is a robust and computation efficient technique used for segmenting a region of interest from an image and the ...
doi:10.11591/ijece.v6i6.12598
fatcat:3p7mi644ebbnfpia235nzieexm
Robust Brain MRI Segmentation for 3D Printing Applications
2017
International Journal for Research in Applied Science and Engineering Technology
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The drawback of efficiently Segmenting imaging data for use in finite element model or 3D printing is still remained. ...
The results of these processes lead us to simulate brain procedures and prosthetics on a patient level using segmented image ...
INTRODUCTION The main aim of our project is to segment the brain. In this, we efficiently segment the medical imaging data for the use in simulation modelling and statistical analyasis. ...
doi:10.22214/ijraset.2017.3157
fatcat:6ax4hi2usjbfrjzk75o2ezkgdm
A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemes
2009
Medical Image Analysis
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Each component (model, feature and extraction scheme) plays a crucial role toward the efficient, robust and accurate segmentation of vessels of interest. ...
In this paper, we review state-of-the-art literature on vascular segmentation, with a particular focus on 3D contrast-enhanced imaging modalities (MRA and CTA). ...
This new medialness measure makes use of the sign of the gradient along a ray to lessen the influence of nearby hyper-intense structures. ...
doi:10.1016/j.media.2009.07.011
pmid:19818675
fatcat:rroixlliubb6nfmvlhahdqtniq
A parallelized 4D reconstruction algorithm for vascular structures and motions based on energy optimization
2014
The Visual Computer
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In this paper, we present a parallel 4D vessel reconstruction algorithm that simultaneously recovers 3D structure, shape, and motion based on multiple views of X-ray angiograms. ...
the 3D vessel initially, which is robust to combat noise and incomplete information in images. ...
[9] used the eigen values of Hessian matrix to extract the tube-like structures from X-ray images. Condurache et al. ...
doi:10.1007/s00371-014-1024-4
fatcat:l7vrlgdnbzd75boxjf557djxbi
Vessel extraction in medical images by wave-propagation and traceback
2001
IEEE Transactions on Medical Imaging
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This paper presents an approach for the extraction of vasculature from angiography images by using a wave propagation and traceback mechanism. ...
Representing the reciprocal of this likelihood image as an array of refractive indices, we propagate a digital wave through the image from the base of the vascular tree. ...
Some earlier experimental version of the code was written by Xiayun Gong while she was associated with the VISLab at the University of Illinois at Chicago. ...
doi:10.1109/42.913178
pmid:11321591
fatcat:3uoxnr3ld5hxlpc7kjrd6cjp3m
Robust phase-retrieval-based X-ray tomography for morphological assessment of early hepatic echinococcosis infection in rats
2017
PLoS ONE
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OPEN ACCESS Citation: Liu H, Zhang C, Fan X, Duan Y, Xiao T, Du G, et al. (2017) Robust phase-retrieval-based X-ray tomography for morphological assessment of early hepatic echinococcosis infection in ...
Propagation-based phase-contrast computed micro-tomography (PPCT) dominates the non-destructive, three-dimensional inner-structure measurement in synchrotron-based biomedical research due to its simple ...
Acknowledgments The authors thank the SSRF for the allocated beamtime at the X-ray imaging and biomedical application beamline (BL13W1) and appreciate the technical support from the duty staff of BL13W1for ...
doi:10.1371/journal.pone.0183396
pmid:28886025
pmcid:PMC5590738
fatcat:qlkyzz7rwrarjogjrflgjmlf6m
New CTA Protocol and 2D-3D Registration Method for Liver Catheterization
[chapter]
2006
Lecture Notes in Computer Science
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Furthermore, we propose a registration algorithm using the new CT phase that aligns arterial structures in two steps: a) Initialization of one corresponding feature using vessel diameter information, b ...
2D-3D registration for angiographic liver interventions is an unsolved problem mainly because of two reasons. ...
This research was partially funded by an academic grant from Siemens Medical Solutions Angiography/X-Ray division, Forchheim, Germany. ...
doi:10.1007/11866565_107
fatcat:sopc3o7it5b5fln3dwq6bj77hq
A two-stage approach for fully automatic segmentation of venous vascular structures in liver CT images
2009
Medical Imaging 2009: Image Processing
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Second, smaller vessel branches are segmented by a robust vessel tracking technique based on a medialness filter response, which starts from the terminal points of the previously segmented vessels. ...
In surgical planning, vessel segmentation is often used as basis to support the surgeon in the decision about the location of the cut to be performed and the extent of the liver to be removed, respectively ...
Then, the 3D skeleton of the segmented vascular structure is computed and stored in a tree data structure T . ...
doi:10.1117/12.812407
dblp:conf/miip/KaftanTA09
fatcat:ajc5epa6yvaozciybfoxuinfvu
AUTOMATIC ACTIVE CONTOURS PROPAGATION IN A SEQUENCE OF MEDICAL IMAGES
2006
International Journal of Image and Graphics
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Received Revised Accepted In this paper we present a new algorithm to track an organ in a sequence of medical images in order to achieve a 3D reconstruction. ...
An application of this method is the 3D reconstruction of abdominal aorta. ...
Acknowledgments We would like to thank Professor Agen, responsible of the radiology services at C.H.U. of Toulon for acquiring the X-ray computed tomography images used in our experiments, and for valuable ...
doi:10.1142/s0219467806002252
fatcat:vrn3u6qldjconcrssvj3yscvzi
Front Matter: Volume 10137
2017
Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging
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SPIE uses a seven-digit CID article numbering system structured as follows: The first five digits correspond to the SPIE volume number. The last two digits indicate publication order within the volume ...
using a Base 36 numbering system employing both numerals and letters. ...
study [10137-62]
10137 1S
Extraction of membrane structure in eyeball from MR volumes [10137-63]
POSTERS: BIOMECHANICS
10137 1T
Robust segmentation of trabecular bone for in vivo CT imaging using ...
doi:10.1117/12.2277895
dblp:conf/mibam/X17
fatcat:hq5s7pahirdilkfy4pzali4fe4
Front Matter: Volume 10133
2017
Medical Imaging 2017: Image Processing
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10133 17
Comparison of thyroid segmentation techniques for 3D ultrasound [10133-43]
SESSION 9
SHAPE
10133 18
Robust nuclei segmentation in cyto-histopathological images using statistical level set ...
cross-sectional images and
lumen boundaries [10133-76]
10133 24
Automated segmentation of 3D anatomical structures on CT images by using a deep
convolutional network based on end-to-end learning ...
SESSION 4 SEGMENTATION: BRAIN
Session Chairs ...
doi:10.1117/12.2270368
dblp:conf/miip/X17
fatcat:resfpzholvbtbalfkbg3pj64gu
Biomedical Applications of Multi-Material Phase Retrieval in Propagation-Based Phase-Contrast Imaging
2018
Microscopy and Microanalysis
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The method is performed in five steps: 1) conventional phase retrieval on raw projection images that leaves remaining edge enhancement, 2) tomographic reconstruction, 3) segmentation of the 3D image to ...
isolate the parts with remaining edge enhancement, 4) secondary phase retrieval on part of the 3D image, 5) merging of the 3D image. ...
The method is performed in five steps: 1) conventional phase retrieval on raw projection images that leaves remaining edge enhancement, 2) tomographic reconstruction, 3) segmentation of the 3D image to ...
doi:10.1017/s1431927618014149
fatcat:ov327oleqjbwrczhlvh37pguju
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