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Review. Automatic Segmentation Techniques of the Coronary Artery Using CT Images in Acute Coronary Syndromes

Sándor Miklós Szilágyi, Monica Marton Popovici, László Szilágyi
<span title="2017-03-28">2017</span> <i title="Walter de Gruyter GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nitklrjsbbcjxd7tka2ahq4dce" style="color: black;">Journal of Cardiovascular Emergencies</a> </i> &nbsp;
Coronary computed tomography angiography (CCTA) is currently one of the most reliable methods used for assessing the coronary arteries; however, its use in emergency settings is sometimes limited due to  ...  A detailed inventory of existing methods is given, representing the state-of-the-art of computational methods applied in vascular system segmentation, focusing on the current applications in acute coronary  ...  Sun et al. 105 deployed a previously recorded 3D vessel model of the same patient to track the position of various branches within 2D X-ray angiograms, using exploratory shortest paths within the graph  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1515/jce-2017-0002">doi:10.1515/jce-2017-0002</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ljakqyviwbcsraxdiscqljubqu">fatcat:ljakqyviwbcsraxdiscqljubqu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180727223304/https://www.degruyter.com/downloadpdf/j/jce.2017.3.issue-1/jce-2017-0002/jce-2017-0002.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ea/bb/eabbafd4ac88a190f1e0ff46eeb16773fd7a7f9c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1515/jce-2017-0002"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> degruyter.com </button> </a>

Multi-constraints based deep learning model for automated segmentation and diagnosis of coronary artery disease in X-ray angiographic images

Mona Algarni, Abdulkader Al-Rezqi, Faisal Saeed, Abdullah Alsaeedi, Fahad Ghabban
<span title="2022-06-03">2022</span> <i title="PeerJ"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zs2czkfyybggbpvr26rbyxpsjy" style="color: black;">PeerJ Computer Science</a> </i> &nbsp;
The detection of coronary artery disease (CAD) from the X-ray coronary angiography is a crucial process which is hindered by various issues such as presence of noise, insufficient contrast of the input  ...  Methods In this article, an Automated Segmentation and Diagnosis of Coronary Artery Disease (ASCARIS) model is proposed in order to overcome the prevailing challenges in detection of CAD from the X-ray  ...  ACKNOWLEDGEMENTS The authors would like to extend their appreciation to Taibah University for providing academic supervision to improve the quality of the research for this article.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7717/peerj-cs.993">doi:10.7717/peerj-cs.993</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/35721418">pmid:35721418</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC9202622/">pmcid:PMC9202622</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fum657ufqvdurkuwqihfjoez7q">fatcat:fum657ufqvdurkuwqihfjoez7q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220607111646/https://peerj.com/articles/cs-993.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b4/af/b4afd57b11f9f0c3f18396d5555e1ecf498c89ad.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7717/peerj-cs.993"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202622" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Rapid and Accurate Registration Method between Intraoperative 2D XA and Preoperative 3D CTA Images for Guidance of Percutaneous Coronary Intervention

Taeyong Park, Kyoyeong Koo, Juneseuk Shin, Jeongjin Lee, Kyung Won Kim
<span title="2019-08-22">2019</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xytabl7eh5a5lle2ofnetovd7u" style="color: black;">Computational and Mathematical Methods in Medicine</a> </i> &nbsp;
In this paper, we propose a rapid rigid registration method for the fusion visualization of intraoperative 2D X-ray angiogram (XA) and preoperative 3D computed tomography angiography (CTA) images.  ...  The experimental results showed fast, robust, and accurate registration using 10 cases, each of the left coronary artery (LCA) and right coronary artery (RCA).  ...  However, as this treatment depends on 2D X-ray angiogram (XA) images and 3D vascular structures-which are understood primarily by medical doctors through intuition and haptic feedback-the accuracy of this  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2019/3253605">doi:10.1155/2019/3253605</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/31534471">pmid:31534471</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6724445/">pmcid:PMC6724445</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3fuknjeanveq5jk6rbdnzc24by">fatcat:3fuknjeanveq5jk6rbdnzc24by</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200210111155/http://downloads.hindawi.com/journals/cmmm/2019/3253605.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b4/1e/b41ef8e4052815759d6b1e056b9454db3f187df2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2019/3253605"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6724445" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

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
<span title="">2019</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
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,  ...  and can be used in the computer-assisted diagnosis and treatment process of clinical cardiovascular disease.  ...  CHARACTERISTICS OF CORONARY ANGIOGRAPHY In order to reduce the harm of X-ray to patients and doctors, only 25 angiograms are taken in one cardiac cycle.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2019.2955710">doi:10.1109/access.2019.2955710</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qltcwl3omvaxri53w4ozu7m7fu">fatcat:qltcwl3omvaxri53w4ozu7m7fu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191208201131/https://ieeexplore.ieee.org/ielx7/6287639/8600701/08911420.pdf?tp=&amp;arnumber=8911420&amp;isnumber=8600701&amp;ref=" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/86/a2/86a2bc954e25ec430cba376eeb69c350aa178a84.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2019.2955710"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Deep Learning Segmentation in 2D X-ray Images and Non-Rigid Registration in Multi-Modality Images of Coronary Arteries

Taeyong Park, Seungwoo Khang, Heeryeol Jeong, Kyoyeong Koo, Jeongjin Lee, Juneseuk Shin, Ho Chul Kang
<span title="2022-03-22">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/abr6zdbfebblxlzh436eqtiagi" style="color: black;">Diagnostics</a> </i> &nbsp;
To compensate for errors that occur during the 2D X-ray angiography acquisition process, 3D CT angiography is used to analyze the topological structure.  ...  A convolutional neural network is used for the segmentation of coronary arteries in 2D X-ray angiography acquired from various angles in real-time.  ...  Informed Consent Statement: Not applicable. Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/diagnostics12040778">doi:10.3390/diagnostics12040778</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/35453826">pmid:35453826</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC9028428/">pmcid:PMC9028428</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mff5zwyszvc5rnutw63wj3rvpy">fatcat:mff5zwyszvc5rnutw63wj3rvpy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220606212308/https://mdpi-res.com/d_attachment/diagnostics/diagnostics-12-00778/article_deploy/diagnostics-12-00778-v2.pdf?version=1648085336" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7e/67/7e6724fb47eca05af593e00011f485b7d300e710.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/diagnostics12040778"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028428" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Adaptive Ridge Point Refinement for Seeds Detection in X-Ray Coronary Angiogram

Ruoxiu Xiao, Jian Yang, Danni Ai, Jingfan Fan, Yue Liu, Guangzhi Wang, Yongtian Wang
<span title="">2015</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xytabl7eh5a5lle2ofnetovd7u" style="color: black;">Computational and Mathematical Methods in Medicine</a> </i> &nbsp;
Seed point is prerequired condition for tracking based method for extracting centerline or vascular structures from the angiogram.  ...  In this paper, a novel seed point detection method for coronary artery segmentation is proposed.  ...  Foreshortening and overlapping are the major obstacles for the accurate identification of vascular structures because X-ray angiography is an integrated projection of the whole body in 3D space to 2D images  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2015/502573">doi:10.1155/2015/502573</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/26089967">pmid:26089967</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4450302/">pmcid:PMC4450302</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/y673cuetxbbj3boiyiplm46w7a">fatcat:y673cuetxbbj3boiyiplm46w7a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190502134430/http://downloads.hindawi.com/journals/cmmm/2015/502573.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/aa/3d/aa3db83b7092b4a724f05223f62d1d11b3bd2a32.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2015/502573"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4450302" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Evaluation of a 3D Segmentation Software for the Coronary Characterization in Multi-slice Computed Tomography [chapter]

A. Larralde, C. Boldak, M. Garreau, C. Toumoulin, D. Boulmier, Y. Rolland
<span title="">2003</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
This study proposes to evaluate a new 3D moment-based method for the extraction of the coronary network and the calcification localization in MSCT.  ...  A new generation of sub-second multi-slices computed tomography (MSCT) scanners, which allow a complete coronary coverage, is becoming widely available.  ...  Conventional X-ray coronary angiography still remains the standard of reference for the assessment of coronary-artery disease.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/3-540-44883-7_5">doi:10.1007/3-540-44883-7_5</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fnam6e3i6jcgnf2njcwobuppj4">fatcat:fnam6e3i6jcgnf2njcwobuppj4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190218165109/http://pdfs.semanticscholar.org/1013/9633b51708dbf008f83fed39591751b38928.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/10/13/10139633b51708dbf008f83fed39591751b38928.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/3-540-44883-7_5"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

3D volume segmentation of MRA data sets using level sets

Aly A. Farag, Hossam Hassan, Robert Falk, Stephen G. Hushek
<span title="">2004</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2dgw6wyfwvb47ow6p4dw5njbrq" style="color: black;">Academic Radiology</a> </i> &nbsp;
In this paper, we use a level set based segmentation algorithm to extract the vascular tree from Magnetic Resonance Angiography (MRA) data sets.  ...  This work introduces a high quality initialization for the level set functions, allowing extraction of the blood vessels in 3D and elimination of non-vessel tissues.  ...  A curve in 2D or a surface in 3D evolves in such a way as to cover a complex shape or structure.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.acra.2004.01.009">doi:10.1016/j.acra.2004.01.009</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/15109014">pmid:15109014</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zpbju2uvm5ex5htv6mrwt3yuua">fatcat:zpbju2uvm5ex5htv6mrwt3yuua</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20080419050321/http://www.cvip.uofl.edu/wwwcvip/research/publications/Pub_Pdf/2004/HossamRadiology2004.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/72/b0/72b08caaa087e19633d2632f6cfd85094e4a7a7c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.acra.2004.01.009"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Performance Comparison of Vesselness Measures for Segmentation of Coronary Arteries in 2D Angiograms

Muhammad Ahsan Ansari, Sammer Zai, Young Shik Moon
<span title="2016-12-29">2016</span> <i title="Indian Society for Education and Environment"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wffwpj3q45g5zfjzfeyagk5uea" style="color: black;">Indian Journal of Science and Technology</a> </i> &nbsp;
Objectives: In this paper, we aim to compare four different vesselness filters and propose a framework for segmenting coronary arteries from 2D angiograms with the aim of extracting accurate centerlines  ...  Application/Improvements: Based on the findings, we have presented a segmentation method that produces more enhanced and smooth edges of coronary arteries and leads to the extraction of the smooth centerlines  ...  Future work comprises of the expansion of our experiments to add more vesselness functions for three-dimensional (3D) Coronary Computed Tomography Angiography (CCTA).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17485/ijst/2016/v9i48/98898">doi:10.17485/ijst/2016/v9i48/98898</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/edy4qbyzrba45lf44my43hybya">fatcat:edy4qbyzrba45lf44my43hybya</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180720014505/http://www.indjst.org/index.php/indjst/article/download/98898/76944" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17485/ijst/2016/v9i48/98898"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemes

David Lesage, Elsa D. Angelini, Isabelle Bloch, Gareth Funka-Lea
<span title="">2009</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kpkfymbkufcnzjfc5ydyokby4y" style="color: black;">Medical Image Analysis</a> </i> &nbsp;
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).  ...  We structure our analysis along three axes: models, features and extraction schemes.  ...  The method was applied in 2D on satellite images for road extraction and on 2D angiograms. Its extension to 3D raises considerable discretization and computational issues.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.media.2009.07.011">doi:10.1016/j.media.2009.07.011</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/19818675">pmid:19818675</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rroixlliubb6nfmvlhahdqtniq">fatcat:rroixlliubb6nfmvlhahdqtniq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809031934/https://perso.telecom-paristech.fr/bloch/papers/MedIA_David2009.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4b/24/4b24fbf000bfa79ea56fa37e1034e0d3414fc6c0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.media.2009.07.011"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Vessel extraction in medical images by wave-propagation and traceback

F.K.H. Quek, C. Kirbas
<span title="">2001</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yhnt2pif75h2bmnnmdg7m6nlc4" style="color: black;">IEEE Transactions on Medical Imaging</a> </i> &nbsp;
This paper presents an approach for the extraction of vasculature from angiography images by using a wave propagation and traceback mechanism.  ...  We discuss both the theory and the implementation of the approach. Using a dual-sigmoidal filter, we label each pixel in an angiogram with the likelihood that it is within a vessel.  ...  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.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/42.913178">doi:10.1109/42.913178</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/11321591">pmid:11321591</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3uoxnr3ld5hxlpc7kjrd6cjp3m">fatcat:3uoxnr3ld5hxlpc7kjrd6cjp3m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20060902044253/http://vislab.cs.vt.edu/Publications/2001/PDFfiles/QueK01.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e9/41/e941971627eedd18d7a87e3a5ef3fa4cebb5916f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/42.913178"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

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

Muhammad Moazzam Jawaid
<span title="2016-07-30">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
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.  ...  For effective 3D reconstruction of vessels, different variations of X-ray angiography have been proposed including rotational system for acquiring 2D angiograms at different angles.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1608.00116v1">arXiv:1608.00116v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5h6n3ervbze47b6oiit66ro4qq">fatcat:5h6n3ervbze47b6oiit66ro4qq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200930222636/https://arxiv.org/ftp/arxiv/papers/1608/1608.00116.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d7/8f/d78fa9c92c46b2b9a07a4a32995c1c48aad375a9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1608.00116v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

A review of vessel extraction techniques and algorithms

Cemil Kirbas, Francis Quek
<span title="2004-06-01">2004</span> <i title="Association for Computing Machinery (ACM)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/eiea26iqqjcatatlgxdpzt637y" style="color: black;">ACM Computing Surveys</a> </i> &nbsp;
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 put the various vessel extraction approaches and techniques in perspective by means of a classification of the existing research.  ...  This method is aimed to detect the vascular structures from two X-ray projections for 3D reconstruction of vascular network.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1031120.1031121">doi:10.1145/1031120.1031121</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7zms3avnjrfd7plwcitqx3cdiq">fatcat:7zms3avnjrfd7plwcitqx3cdiq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809075324/http://www.siue.edu/~sumbaug/RetinalProjectPapers/Review%20of%20Vessel%20Extraction%20Techniques%20and%20Algorithms.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3f/9c/3f9ca2a8ea59754f25bdbcc6ba3b430e2981a962.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1031120.1031121"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Computer-Aided Detection and Quantification of Intracranial Aneurysms [chapter]

Tim Jerman, Franjo Pernuš, Boštjan Likar, Žiga Špiclin
<span title="">2015</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
intrakranialnih anevrizem Computer-aided detection and quantification of intracranial aneurysms S svojim podpisom potrjujem: • da je predloženo zaključno delo rezultat mojega samostojnega raziskovalnega  ...  dela in da so vsa dela in mnenja drugih avtorjev skladno s fakultetnimi navodili citirana in navedena v seznamu virov, ki je sestavni del predloženega zaključnega dela, • da je elektronska oblika zaključnega  ...  Vascular imaging or angiography involves 2D and 3D acquisition techniques like ophthalmic fundus imaging, contrast enhanced X-ray and digital subtraction angiography (DSA), ultrasound, computed tomography  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-24571-3_1">doi:10.1007/978-3-319-24571-3_1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fv5erqgxt5bvhfeqc6bnbezgle">fatcat:fv5erqgxt5bvhfeqc6bnbezgle</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190307125529/http://pdfs.semanticscholar.org/e0be/79cb938d4bd560bf2c03422448cd68825017.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e0/be/e0be79cb938d4bd560bf2c03422448cd68825017.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-24571-3_1"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

A novel method for improving the accuracy of MR-derived patient-specific vascular models using X-ray angiography [article]

John D. Horn, Zbigniew A Starosolski, Michael J. Johnson, Avner Meoded, Shaolie S. Hossain
<span title="2021-12-23">2021</span> <i title="Cold Spring Harbor Laboratory"> bioRxiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We have developed a novel method to improve the accuracy of MR-derived 3D vascular models utilizing 2D X-ray angiography (XA), which is considered the gold standard for clinically assessing vessel caliber  ...  In this workflow, ″virtual angiographies″ (VA) of 3D MR-derived vascular models are conducted, producing 2D projections that are compared to corresponding XA images guiding the local adjustment of modeled  ...  The authors gratefully acknowledge Texas Advanced Computing Center (TACC) for providing high-performance computing resources.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/2021.12.22.472309">doi:10.1101/2021.12.22.472309</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vqpapeovqvdrheykpypnead3ty">fatcat:vqpapeovqvdrheykpypnead3ty</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220125011315/https://www.biorxiv.org/content/biorxiv/early/2021/12/23/2021.12.22.472309.full.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9f/46/9f466cb19954a6b0443291f5ee6dd531b70a90ae.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/2021.12.22.472309"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> biorxiv.org </button> </a>
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