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Minimum Cost Path Algorithm for Coronary Artery Central Axis Tracking in CT Images [chapter]

S. D. Olabarriaga, M. Breeuwer, W. J. Niessen
2003 Lecture Notes in Computer Science  
In this paper we evaluate a method for semiautomated extraction of the central axis of coronary arteries in these images.  ...  Finally, a connected path between the given points is automatically determined with a minimum cost path algorithm, where the cost corresponds to the reciprocal of the enhanced image.  ...  Prokop) for helping us with image interpretation and for providing the 16-detector dataset used in the study.  ... 
doi:10.1007/978-3-540-39903-2_84 fatcat:efjk6hb2nbbwxmsnharsdqvdne

Segmentation of coronary arteries from CT angiography images

Sergei V. Fotin, Anthony P. Reeves, Matthew D. Cham, Claudia I. Henschke, David F. Yankelevitz, Maryellen L. Giger, Nico Karssemeijer
2007 Medical Imaging 2007: Computer-Aided Diagnosis  
We present an automated method for delineation of coronary arteries from Cardiac CT Angiography (CTA) images.  ...  Five cardiac 3D CT angiography studies were used for algorithm validation. For each study, the four longest visually discernible branches of the major coronary arteries were evaluated.  ...  Methods similar to one reported by Olabarriaga et al 9 and based on minimum-cost path and vessel-enhancement filters are gaining popularity.  ... 
doi:10.1117/12.707810 dblp:conf/micad/FotinRCHY07 fatcat:i5faqjkiqfd7jfqsdprjqsid74

Coronary Vein Extraction in MSCT Volumes Using Minimum Cost Path and Geometrical Moments

M-P Garcia, J. Velut, D. Boulmier, C. Leclercq, M. Garreau, P. Haigron, C. Toumoulin
2013 IEEE journal of biomedical and health informatics  
It makes use of a minimum cost path technique with a Fast-Marching front propagation to extract the vessel centerline.  ...  This work deals with the extraction of patientspecific coronary venous anatomy in pre-operative Multi-Slice Computed Tomography (MSCT) volumes.  ...  [25] evaluated the previous parameters effect on coronary arteries axis enhancement from CT.  ... 
doi:10.1109/jbhi.2013.2245420 pmid:24235110 fatcat:ne5grqfhavbl3c4gb3s65ctdxm

Orthogonal planar search (OPS) for coronary artery centerline extraction

Szeling Tang, Chee Seng Chan
2015 Signal, Image and Video Processing  
SIViP Abstract In this paper, we investigate orthogonal planar search (OPS) for coronary artery centerline extraction to assist in coronary artery diseases diagnosis.  ...  This e-offprint is for personal use only and shall not be self-archived in electronic repositories.  ...  Majority of the 13 methods proposed minimum cost path as their extraction algorithm [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] .  ... 
doi:10.1007/s11760-014-0746-0 fatcat:dj6inodmwvb7bmn6yafnbf3v3i

Coronary centerline extraction from CT coronary angiography images using a minimum cost path approach

C. T. Metz, M. Schaap, A. C. Weustink, N. R. Mollet, T. van Walsum, W. J. Niessen
2009 Medical Physics (Lancaster)  
Purpose: The application and large-scale evaluation of minimum cost path approaches for coronary centerline extraction from computed tomography coronary angiography ͑CTCA͒ data and the development and  ...  Methods: A semiautomatic method based on a minimum cost path approach is evaluated for two different cost functions.  ...  Minimum cost path approach Coronary artery centerlines are extracted using a minimum cost path approach.  ... 
doi:10.1118/1.3254077 pmid:20095269 fatcat:fn76myayufbgfjcakj2qyqgcli

Virtual Contrast for Coronary Vessels Based on Level Set Generated Subvoxel Accurate Centerlines

Ingmar Bitter, Robert Van Uitert, Ivo Wolf, Efstathia Tzatha, Ahmed M Gharib, Ronald Summers, Hans-Peter Meinzer, Roderic Pettigrew
2006 International Journal of Biomedical Imaging  
We present a tool for tracking coronary vessels in MRI scans of the human heart to aid in the screening of heart diseases.  ...  The vessel identification results from a series of computational steps including eigenvalue analysis of the Hessian of the MRI image followed by a level set-based extraction of the vessel centerline.  ...  This centerline is not based on local greedy decisions, but is the minimum cost path with respect to the given vesselness speed image. Next, the speed image is intensified along this partial vessel.  ... 
doi:10.1155/ijbi/2006/94025 pmid:23165062 pmcid:PMC2324051 fatcat:7bd3p6koxracpiyfg4txffwmda

Computerized detection of noncalcified plaques in coronary CT angiography: Evaluation of topological soft gradient prescreening method and luminal analysis

Jun Wei, Chuan Zhou, Heang-Ping Chan, Aamer Chughtai, Prachi Agarwal, Jean Kuriakose, Lubomir Hadjiiski, Smita Patel, Ella Kazerooni
2014 Medical Physics (Lancaster)  
Interpretation of coronary CT angiography (cCTA) to search for NCP is a challenging task for radiologists due to the low CT number of NCP, the large number of coronary arteries, and multiple phase CT acquisition  ...  Purpose: The buildup of noncalcified plaques (NCPs) that are vulnerable to rupture in coronary arteries is a risk for myocardial infarction.  ...  The MSCAR-RBG algorithm tracked and segmented 166 coronary arterial trees from the 83 cCTA volumes (LCA and RCA trees in each case).  ... 
doi:10.1118/1.4885958 pmid:25086532 pmcid:PMC4105962 fatcat:bpoyrfbl7vg4dcazsvbz3yh3jq

A robust and efficient curve skeletonization algorithm for tree-like objects using minimum cost paths

Dakai Jin, Krishna S. Iyer, Cheng Chen, Eric A. Hoffman, Punam K. Saha
2016 Pattern Recognition Letters  
This paper presents a new robust and efficient curve skeletonization algorithm for threedimensional (3-D) elongated fuzzy objects using a minimum cost path approach, which avoids spurious branches without  ...  Performance of the method in terms of false and missing skeletal branches, as defined by human experts, has been examined using in vivo CT imaging of human intrathoracic airways.  ...  Palágyi for kindly providing the source code of their thinning algorithm used in our comparative study. Also, the authors would like to thank Ms.  ... 
doi:10.1016/j.patrec.2015.04.002 pmid:27175043 pmcid:PMC4860741 fatcat:d2h6fxwuybh6hnogdi3wqwlmcq

Vessels as 4-D Curves: Global Minimal 4-D Paths to Extract 3-D Tubular Surfaces and Centerlines

Hua Li, Anthony Yezzi
2007 IEEE Transactions on Medical Imaging  
We demonstrate and validate the utility of this approach on magnetic resonance (MR) angiography and computed tomography (CT) images of coronary arteries.  ...  Our representation also yields a natural notion of a tube's "central curve."  ...  Suo at Georgia Institute of Technology, Atlanta, for providing some original images and manual segmentations. They would also like to thank G.  ... 
doi:10.1109/tmi.2007.903696 pmid:17896594 fatcat:ccorwqxhrbfk3fyysjmiv6bx34

Principal Curves for Lumen Center Extraction and Flow Channel Width Estimation in 3-D Arterial Networks: Theory, Algorithm, and Validation

W. C. K. Wong, R. W. K. So, A. C. S. Chung
2012 IEEE Transactions on Image Processing  
In this paper, theoretical extension to grayscale angiography is discussed, and an algorithm to find an arterial network as principal curves is also described.  ...  ., structures that abound in an arterial network, e.g., a cerebrovascular circulation.  ...  with geodesic and minimum cost paths for reducing the amount of user interaction.  ... 
doi:10.1109/tip.2011.2179054 pmid:22167625 fatcat:xvouhs72afbdrmenlkqqot3rbu

Extraction Method of Coronary Artery Blood Vessel Centerline in CT Coronary Angiography

Xiaodong Sheng, Tao Fan, Xiaoqi Jin, Jing Jin, Zhixian Chen, Guanqun Zheng, Min Lu, Zongcheng Zhu
2019 IEEE Access  
INDEX TERMS Extraction method, coronary artery blood, vessel Centerline, CT coronary angiography.  ...  The experimental results show that the method can accurately extract the blood vessel center line, direction vector and other information in the coronary angiography image without manual intervention,  ...  As shown in Figure 3 , the same size sphere was projected on the central axis and edge of the X-ray beam, respectively, resulting in projected images S1 and S2.  ... 
doi:10.1109/access.2019.2955710 fatcat:qltcwl3omvaxri53w4ozu7m7fu

Segmentation of Soft atherosclerotic plaques using active contour models [article]

Muhammad Moazzam Jawaid
2016 arXiv   pre-print
Medial axis for extracted coronary tree is generated using fast marching method for obtaining curve planar reformation for validation of contrast agent behaviour.  ...  In first step automatic seed point has been established based on the fact that coronary artery behaves as tubular structure through axial slices.  ...  Boskamp et al [45] reported the use of region growing algorithm for vessel segmentation in CT and MR images.  ... 
arXiv:1608.00116v1 fatcat:5h6n3ervbze47b6oiit66ro4qq

A review of vessel extraction techniques and algorithms

Cemil Kirbas, Francis Quek
2004 ACM Computing Surveys  
While we have mainly targeted the extraction of blood vessels, neurosvascular structure in particular, we have also reviewed some of the segmentation methods for the tubular objects that show similar characteristics  ...  We have divided vessel segmentation algorithms and techniques into six main categories: (1) pattern recognition techniques, (2) model-based approaches, (3) tracking-based approaches, (4) artificial intelligence-based  ...  Then dynamic programming is used to find the minimum cost path among the candidates by selecting a pair for each cross-section.  ... 
doi:10.1145/1031120.1031121 fatcat:7zms3avnjrfd7plwcitqx3cdiq

The ARMM System - Autonomous Steering of Magnetically-Actuated Catheters: Towards Endovascular Applications

Christoff Marthinus Heunis, Yannik P. Wotte, Jakub Sikorski, Guilherme Phillips Furtado, Sarthak Misra
2020 IEEE Robotics and Automation Letters  
A catheter is positioned using magnetic actuation and proportional-integral (PI) control in conjunction with real-time ultrasound images.  ...  Our results indicate an average error between the tracked catheter tip and target positions of 2.09 ± 0.49 mm. The median procedure time to reach targets is 32.6 s.  ...  This is followed by the control algorithms for magnetic actuation, as well as an outline of the path-and trajectory planning of the catheter tip and manipulators in Section III.  ... 
doi:10.1109/lra.2020.2965077 fatcat:5h26zckpxbczpovgqm3xstlaga

Probabilistic Modeling of Blood Vessels for Segmenting Magnetic Resonance Angiography Images

Ayman El-baz, Ahmed Shalaby, Fatma Taher, Maryam El-Baz, Mohammed Ghazal, Mohamed El-Ghar, ALI Takieldeen, Jasjit Suri
2017 Medical Research Archives  
average-cost path model to segment the 3D coronary arteries from CT images.  ...  Recently, Shang et al. [31] developed an active contour framework to segment coronary artery and lung vessel trees from CT images.  ... 
doi:10.18103/mra.v5i3.1031 fatcat:osdj2jhjsbcq3gc45kccvwtnoa
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