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Segmentation of 3D Medical Structures Using Robust Ray Propagation [chapter]

Hüseyin Tek, Martin Bergtholdt, Dorin Comaniciu, James Williams
2002 Lecture Notes in Computer Science  
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

Wenxiang Cong, Kumar Durairaj, Peng Feng
2013 Computational and Mathematical Methods in Medicine  
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

Xinglong Liu, Fei Hou, Hong Qin, Aimin Hao
2016 IEEE journal of biomedical and health informatics  
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

Noha Seada, Safwat Hamad, Mostafa G. M. Mostafa
2016 International Journal of Electrical and Computer Engineering (IJECE)  
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

Chinnapu devi
2017 International Journal for Research in Applied Science and Engineering Technology  
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

David Lesage, Elsa D. Angelini, Isabelle Bloch, Gareth Funka-Lea
2009 Medical Image Analysis  
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

Xinglong Liu, Fei Hou, Aimin Hao, Hong Qin
2014 The Visual Computer  
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

F.K.H. Quek, C. Kirbas
2001 IEEE Transactions on Medical Imaging  
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

Huiqiang Liu, Chuanshan Zhang, Xiaoxi Fan, Yingni Duan, Tiqiao Xiao, Guohao Du, Yanan Fu, Haigang Liu, Hao Wen, Thomas Abraham
2017 PLoS ONE  
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]

Martin Groher, Nicolas Padoy, Tobias F. Jakobs, Nassir Navab
2006 Lecture Notes in Computer Science  
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

Jens N. Kaftan, Hüseyin Tek, Til Aach, Josien P. W. Pluim, Benoit M. Dawant
2009 Medical Imaging 2009: Image Processing  
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

KHALIFA DJEMAL, WILLIAM PUECH, BRUNO ROSSETTO
2006 International Journal of Image and Graphics  
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  
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

Proceedings of SPIE, Martin A. Styner, Elsa D. Angelini
2017 Medical Imaging 2017: Image Processing  
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

Ilian Haggmark, William Vagberg, Hans M. Hertz, Anna Burvall
2018 Microscopy and Microanalysis  
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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