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Automatic Initialization Algorithm for Carotid Artery Segmentation in CTA Images
[chapter]
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
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
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
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]
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
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]
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
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
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/j.media.2011.02.004
pmid:21419689
fatcat:isolvwbxgzepppurmy3jjrufxi
Computer-assisted extraction of intracranial aneurysms on 3D rotational angiograms for computational fluid dynamics modeling
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
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]
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
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
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
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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