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Automatic Initialization Algorithm for Carotid Artery Segmentation in CTA Images [chapter]

Martijn Sanderse, Henk A. Marquering, Emile A. Hendriks, Aad van der Lugt, Johan H. C. Reiber
2005 Lecture Notes in Computer Science  
We present a novel and fast automatic initialization algorithm to detect the carotid arteries providing a fully automated approach of the segmentation and centerline detection.  ...  The carotid arteries are subsequently detected in axial slices of the VOI by applying a circular Hough transform.  ...  Here we present an Automatic iNITialization Algorithm (AnitA) to select the carotid arteries providing a fully automated approach of the segmentation of the carotid arteries and the detection of its centerline  ... 
doi:10.1007/11566489_104 fatcat:gnkofygqwralxmx5reg52k5cta

A Semi-Automatic Segmentation Method for the Structural Analysis of Carotid Atherosclerotic Plaques by Computed Tomography Angiography

Florentino Luciano Caetano dos Santos, Atte Joutsen, Mitsugu Terada, Juha Salenius, Hannu Eskola
2014 Journal of atherosclerosis and thrombosis  
Conclusion: This new semi-automatic segmentation method for CTA provides a fast and reliable tool to quantify the severity of carotid artery stenosis. J Atheroscler Thromb, 2014; 21:930-940.  ...  Methods: In vivo contrast CTA images from eight patients undergoing endarterectomy were analyzed using a tailored five-step process involving an adaptive segmentation algorithm and region growing to measure  ...  Acknowledgements FS was supported by the CIMO Foundation (Centre for International Mobility; KM-12-8107) and AJ was supported by the Tampere City Science Fund.  ... 
doi:10.5551/jat.21279 pmid:24834981 fatcat:pedpga6zvffe5klbdbjrjb2vgi

Three-dimensional Reconstruction of Carotid Arteries using Computed Tomography Angiography

Vassiliki Kigka, Savvas Kyriakidis, Antonis Sakellarios, Vassiliki Potsika, Vasilis Tsakanikas, Dimitra Loggitsi, Lampros K. Michalis, Dimitrios I. Fotiadis
2020 Zenodo  
The utilized evaluation metrics were the Dice coefficient and the Hausdorff Distance and our very first results are promising for the accurate and automated segmentation of carotid arteries.  ...  The segmentation accuracy of the proposed methodology has been validated against manual expert's annotations in 4 patients, and more specifically in 300 computed tomography angiography slices for the inner  ...  [10] provided a novel method for carotid artery lumen segmentation on CTA images by using automatic vessel segmentation with inverse approach.  ... 
doi:10.5281/zenodo.4400034 fatcat:45dgckdivjc6xgufzxnzl5uqka

Fusion of Edge Enhancing Algorithms for Atherosclerotic Carotid Wall Contour Detection in Computed Tomography Angiography

Florentino Luciano Caetano dos Santos, Atte Joutsen, Juha Salenius, Hannu Eskola
2014 International Conference on Computing in Cardiology  
The aim of this study is to assess the feasibility and performances of the fusion of edge enhancers in in vivo computed tomography angiography (CTA) images for automatic segmentation of outer and inner  ...  From 4 patients' CTA exams (stenosis degrees 70% -95%) the slices representing plaques were extracted (223 images) and hand segmented by a trained operator for the vessel walls.  ...  We would also like to thank iBioMEP for the travel grant given to participate in Computing in Cardiology 2014.  ... 
dblp:conf/cinc/SantosJSE14 fatcat:abdvoqolfza67gv77txflkk5ga

Evaluation of Carotid Artery Segmentation with Centerline Detection and Active Contours without Edges Algorithm [chapter]

Tomasz Hachaj, Marek R. Ogiela
2012 Lecture Notes in Computer Science  
We did not find any other publication in which such approach for carotid artery bifurcation region segmentation has been proposed or investigated.  ...  The main contribution of this article is a new method of segmentation of carotid artery based on original authors inner path finding algorithm and active contours without edges segmentation method for  ...  In figure 1 the carotid arteries segmentation results of all considered CTA volumes are presented ( ).  ... 
doi:10.1007/978-3-642-32498-7_35 fatcat:4gok22ihgvel3hip6fdhafj3ky

Evaluation of Computer-Assisted Quantification of Carotid Artery Stenosis

Christina Biermann, Ilias Tsiflikas, Christoph Thomas, Bernadette Kasperek, Martin Heuschmid, Claus D. Claussen
2011 Journal of digital imaging  
Even inexperienced readers are able to achieve good results in the assessment of carotid artery stenosis when using advanced vessel analysis software.  ...  At least 1 day later, they performed quantification using an advanced vessel analysis software including automatic dual-energy bone and hard plaque removal, automatic and semiautomatic vessel segmentation  ...  Semi-automatic centerline creation algorithm was used for the remaining carotids. Standard Image Interpretation Results for standard image interpretation are presented in Table 2 .  ... 
doi:10.1007/s10278-011-9413-y pmid:21786073 pmcid:PMC3295974 fatcat:iakrqzuyz5fqxgezqh22muumfi

Vessels-Cut: A Graph Based Approach to Patient-Specific Carotid Arteries Modeling [chapter]

Moti Freiman, Noah Broide, Miriam Natanzon, Einav Nammer, Ofek Shilon, Lior Weizman, Leo Joskowicz, Jacob Sosna
2009 Lecture Notes in Computer Science  
We present a nearly automatic graph-based segmentation method for patient specific modeling of the aortic arch and carotid arteries from CTA scans for interventional radiology simulation.  ...  Finally, the same graph-cut optimization framework is used for nearly automatic removal of a few vessel segments and to fill minor vessel discontinuities due to highly significant imaging artifacts.  ...  Acknowledgment This research is supported in part by MAGNETON grant 38652 from the Israeli Ministry of Trade and Industry.  ... 
doi:10.1007/978-3-642-10470-1_1 fatcat:t7ymmidt7bhkjnladaclg56kha

Carotid vasculature modeling from patient CT angiography studies for interventional procedures simulation

M. Freiman, L. Joskowicz, N. Broide, M. Natanzon, E. Nammer, O. Shilon, L. Weizman, J. Sosna
2012 International Journal of Computer Assisted Radiology and Surgery  
Materials and methods The method starts with the automatic watershed-based segmentation of the aorta and the construction of an a-priori intensity probability distribution function for arteries.  ...  Objective A practical method for patient-specific modeling of the aortic arch and the entire carotid vasculature from computed tomography angiography (CTA) scans for morphologic analysis and for interventional  ...  A recently published technique [9] describes a method for the segmentation of the entire carotid system from CTA and MRA images for use in simulation.  ... 
doi:10.1007/s11548-012-0673-x pmid:22374369 fatcat:oqfznfr2ejhqjkpnnk3nabubue

Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading

K. Hameeteman, M.A. Zuluaga, M. Freiman, L. Joskowicz, O. Cuisenaire, L. Flórez Valencia, M.A. Gülsün, K. Krissian, J. Mille, W.C.K. Wong, M. Orkisz, H. Tek (+18 others)
2011 Medical Image Analysis  
This paper describes an evaluation framework that allows a standardized and objective quantitative comparison of carotid artery lumen segmentation and stenosis grading algorithms.  ...  This framework has been introduced at the MICCAI 2009 workshop 3D Segmentation in the Clinic: A Grand Challenge III, and we compare the results of eight teams that participated.  ...  Results of semi-automatic stenosis grading methods for carotid arteries in CTA images have been reported by et al. (2005(@), et al. (2007(@) and et al. (2008(@) .  ... 
doi:10.1016/ pmid:21419689 fatcat:isolvwbxgzepppurmy3jjrufxi

Computer-assisted extraction of intracranial aneurysms on 3D rotational angiograms for computational fluid dynamics modeling

Herng-Hua Chang, Gary R. Duckwiler, Daniel J. Valentino, Woei Chyn Chu
2009 Medical Physics (Lancaster)  
The proposed algorithm demonstrated promising performance and unique characteristics to adequately segment aneurysms in 3DRA image volumes for further study in computational fluid dynamics.  ...  Conclusions: A new aneurysm segmentation framework in an attempt to automatically segment vascular structures in 3DRA image volumes has been developed.  ...  Aneurysm segmentation results using the CFAS algorithm ͑left͒ in comparison with the MIP images ͑right͒. ͑a͒ Basilar artery aneurysm. ͑b͒ Carotid-ophthalmic aneurysm. ͑c͒ Middle cerebral artery aneurysm  ... 
doi:10.1118/1.3260841 pmid:20095274 pmcid:PMC2789114 fatcat:xdabh4dnwvfzlegn5hxp2rqemq

The Differentiation in Image Post-processing and 3D Reconstruction During Evaluation of Carotid Plaques From MR and CT Data Sources

Fengbin Deng, Changping Mu, Ling Yang, Rongqi Yi, Min Gu, Kang Li
2021 Frontiers in Physiology  
However, the density resolution of TOF-MRA for the carotid plaque and carotid artery was not as good as that of CTA.  ...  The initial images were obtained by CTA and TOF-MRA.  ...  The average time of automatic segmentation of CTA and MRA images into standard template files for 3D models using MIMICS software is 20 min.  ... 
doi:10.3389/fphys.2021.645438 pmid:33935800 pmcid:PMC8085352 fatcat:gpb6mpy5enga3hcw3yeavrxpnq

Prior-Based Automatic Segmentation of the Carotid Artery Lumen in TOF MRA (PASCAL) [chapter]

Jana Hutter, Hannes G. Hofmann, Robert Grimm, Andreas Greiser, Marc Saake, Joachim Hornegger, Arnd Dörfler, Peter Schmitt
2012 Lecture Notes in Computer Science  
In this work, a novel, fully automatic 3D segmentation algorithm is proposed which uses prior knowledge about irregular flow patterns.  ...  In current clinical practice, examinations of the carotid artery bifurcation are commonly carried out with Computed Tomography Angiography (CTA) or contrast-enhanced Magnetic Resonance Angiography (ce  ...  The authors gratefully acknowledge funding of the Erlangen Graduate School in Advanced Optical Technologies (SAOT) by the German Research Foundation (DFG) in the framework of the German excellence initiative  ... 
doi:10.1007/978-3-642-33418-4_63 fatcat:2e247tn3kjh4xnqgwuf5szmfbe

Fully automatic deep learning trained on limited data for carotid artery segmentation from large image volumes

Tianshu Zhou, Tao Tan, Xiaoyan Pan, Hui Tang, Jingsong Li
2021 Quantitative Imaging in Medicine and Surgery  
The objectives of this study were to develop a 3D convolutional deep learning framework (CarotidNet) for fully automatic segmentation of carotid bifurcations in computed tomography angiography (CTA) images  ...  This was the first attempt to use deep learning to achieve carotid bifurcation segmentation in 3D CTA images.  ...  In this study, we applied fully automatic semantic segmentation of the carotid bifurcation lumen in CTA images.  ... 
doi:10.21037/qims-20-286 pmid:33392012 pmcid:PMC7719941 fatcat:onofb5wibrauxo4bztyyvpwdhi

Rapid vessel segmentation and reconstruction of head and neck angiograms using 3D convolutional neural network

Fan Fu, Jianyong Wei, Miao Zhang, Fan Yu, Yueting Xiao, Dongdong Rong, Yi Shan, Yan Li, Cheng Zhao, Fangzhou Liao, Zhenghan Yang, Yuehua Li (+3 others)
2020 Nature Communications  
We propose an artificial intelligence reconstruction system supported by an optimized physiological anatomical-based 3D convolutional neural network that can automatically achieve CTA reconstruction in  ...  This system is trained and tested with 18,766 head and neck CTA scans from 5 tertiary hospitals in China collected between June 2017 and November 2018.  ...  Request for software access and the remaining clinical evaluation images generated by technologists can be submitted to F.F.  ... 
doi:10.1038/s41467-020-18606-2 pmid:32973154 fatcat:43oxudaqjzexlbhqarskwnaco4

Affinity-based constraint optimization for nearly-automatic vessel segmentation

O. Cooper, M. Freiman, L. Joskowicz, D. Lischinski, Benoit M. Dawant, David R. Haynor
2010 Medical Imaging 2010: Image Processing  
We present an affinity-based optimization method for nearly-automatic vessels segmentation in CTA scans.  ...  Experimental results on 20 vessel segments including the carotid arteries bifurcation and noisy parts of the carotid yield a mean symmetric surface error of 0.54mm (std=0.28).  ...  Acknowledgments This research was funded in part by a grant from the Israeli Ministry of Trade and Industry, MAGNETON Grant 38652.  ... 
doi:10.1117/12.841245 dblp:conf/miip/CooperFJL10 fatcat:lizbbewv5bc7jdg27aqwqnf2hm
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