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Functional Region Annotation of Liver CT Image Based on Vascular Tree
2016
BioMed Research International
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In this paper, we propose a vessel-tree-based liver annotation method for CT images. ...
One of the challenging issues is to annotate the functional regions of liver through analyzing Computed Tomography (CT) images. ...
System and Service Computing, Ministry of Education, Tongji University (no. ...
doi:10.1155/2016/5428737
pmid:27891516
pmcid:PMC5116550
fatcat:uizv5fjuqzbjjexxtl7b654lfm
Hepatic vascular network segmentation for liver surgery planning
2021
Zenodo
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During my work I have developed a new method for automatic liver vessel network segmentation that is based on a marked point process (MPP) model and region growing algorithm. ...
Contrast enhanced computed tomography is suitable to be used for vessel network segmentation. ...
Background
Computed tomography Computed tomography (CT) is a medical imaging technique which produces a 3D image of a body region. The computer tomograph measures the radiodensity of the tissues. ...
doi:10.5281/zenodo.5779145
fatcat:hjkwmjsv55egrnmgeh62ysssna
A hybrid segmentation method for partitioning the liver based on 4D DCE-MR Images
2018
Medical Imaging 2018: Image Processing
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To facilitate pharmacokinetic modeling of the liver based on the same data, a 4D DCE-MR scan protocol was selected. This yields images with high temporal resolution but low spatial resolution. ...
Subsequently, the eight liver segments are segmented based on three vertical intersecting planes fit through the three skeleton branches of HV and IVC's center of mass as well as a horizontal plane fit ...
Our method resembles this standard method, but relies on a semi-automatic segmentation of the key liver vessels. ...
doi:10.1117/12.2293530
dblp:conf/miip/ZhangWRLSGCVV18
fatcat:uyk43jov3ffw5nnutadnv572lm
Computational Methods for Liver Vessel Segmentation in Medical Imaging: A Review
2021
Sensors
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Based on the literature, this review paper presents the most advanced and effective methods of liver vessel segmentation, as well as their performance according to the metrics used. ...
This paper includes results available for four imaging methods, namely: computed tomography (CT), computed tomography angiography (CTA), magnetic resonance (MR), and ultrasonography (USG). ...
The authors of [29] proposed automatic liver vessel segmentation based on a multipathway CNN architecture. ...
doi:10.3390/s21062027
pmid:33809361
fatcat:dowsqsuwlrgyjic7ozoa7mr23q
Segmentation and separation of venous vasculatures in liver CT images
2014
Medical Imaging 2014: Computer-Aided Diagnosis
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Firstly, presented vasculatures are automatically segmented adopting an efficient multi-scale Hessian-based vesselness filter. ...
Computer-aided analysis of venous vasculatures including hepatic veins and portal veins is important in liver surgery planning. ...
INTRODUCTION Liver venous vasculatures include hepatic veins (HV) and portal veins (PV), which can be enhanced by contrast agents administrated in multi-phase computer tomography (CT) images of livers. ...
doi:10.1117/12.2043406
dblp:conf/micad/00250ZH14
fatcat:co76p5tpizdxvdyqzagtktze3m
Mathematical Methods in Medical Imaging: Analysis of Vascular Structures for Liver Surgery Planning
[chapter]
2001
Mathematics Unlimited — 2001 and Beyond
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Such image processing methods form the area of computer-aided diagnosis (CAD). ...
The skeletonization method we developed is also based on a thinning technique, which preserves 3D topology [6, 15] . ...
doi:10.1007/978-3-642-56478-9_53
fatcat:vckofjzchjecnbhrawb2t37jaq
Functional Segmentation for Preoperative Liver Resection based on Hepatic Vascular Networks
2021
IEEE Access
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Traditionally, estimation of liver volume and functional segmentation were done manually on preoperative imaging, such as computed tomography (CT) [6] . ...
In addition to state-of-the-art methods, a range of computer software has also been developed based on Couinaud's definition. ...
doi:10.1109/access.2021.3053384
fatcat:zdzox7hen5hv5dvrujsbe7nsce
Blood vessel segmentation algorithms — Review of methods, datasets and evaluation metrics
2018
Computer Methods and Programs in Biomedicine
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Method: This paper analyzes more than 100 articles focused on blood vessel segmentation methods. ...
Blood vessel segmentation is a topic of high interest in medical image analysis since the analysis of vessels is crucial for diagnosis, treatment planning and execution, and evaluation of clinical outcomes ...
The Kalman tracking-based approach provides automatic contour initialization, reducing the computational cost with respect to methods based solely on deformable [77] , a single spatial Kalman-filter ...
doi:10.1016/j.cmpb.2018.02.001
pmid:29544791
fatcat:cchvmvuy5zgzzetv5hwc67nnbe
A framework for 3D vessel analysis using whole slide images of liver tissue sections
2016
International Journal of Computational Biology and Drug Design
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These results demonstrate a promising 3D vessel analysis framework for whole slide images of liver tissue sections. ...
In this paper, we develop a complete framework applicable to 3D pathology analytical imaging, with an application to whole slide images of sequential liver slices for 3D vessel structure analysis. ...
Acknowledgement This research is supported in part by grants from National Institute of Health K25CA181503, National Science Foundation ACI 1443054 and NSF IIS 1350885, and CNPq. ...
doi:10.1504/ijcbdd.2016.074983
pmid:27034719
pmcid:PMC4809644
fatcat:6kbbt4v3afgwfm47zc6titzkd4
IEEE Access Special Section Editorial: Advanced Signal Processing Methods In Medical Imaging
2018
IEEE Access
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Many medical imaging techniques are widely used to produce images, such as computer tomography (CT), ultrasound (US), positron emission tomography (PET), single photon emission computed tomography (SPECT ...
It is critical to develop advanced signal processing methods for a wide range of low-level (image reconstruction, contrast enhancement, image segmentation, etc.) and high-level applications (interpretation ...
First, the surface morphology of real trabecular bone was obtained based on the binary processing of computed tomography images. ...
doi:10.1109/access.2018.2875308
fatcat:v4uxwxsvmnhfpgezgt2wzmxd2u
Modeling and Visualization of Cardiovascular Systems
2010
Dagstuhl Publications
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Modeling complex organs, such as the human heart, requires a detailed understanding of the geometric and mechanical properties of that organ. ...
This paper describes the different steps that are necessary for creating and visualizing such a vascular model, ranging from determining a basic geometric model, gathering statistical data necessary to ...
Also, the support of the Ohio Board of Regents and Research and Sponsored Programs, Wright State University, and its department of Computer Science and Engineering as well as the College of Engineering ...
doi:10.4230/dfu.sciviz.2010.210
dblp:conf/dagstuhl/Wischgoll10
fatcat:z7fvfniwl5h6fjq4w5lzx37vri
Automatic Atlas-Free Multiorgan Segmentation of Contrast-Enhanced CT Scans
[chapter]
2017
Cloud-Based Benchmarking of Medical Image Analysis
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Automatic segmentation of anatomical structures in CT scans is an essential step in the analysis of radiological patient data and is a prerequisite for largescale content-based image retrieval (CBIR). ...
Our method uses a pipeline approach based on the rules that determine the order in which the organs are isolated and how they are segmented. ...
CBIR systems rely on the automatic extraction of imaging features from a non-annotated medical images database. ...
doi:10.1007/978-3-319-49644-3_9
fatcat:ve6nbmvx2jdezlexwdsquee7di
Survey of Labeling Techniques in Medical Visualizations
[article]
2014
Eurographics Workshop on Visual Computing for Biomedicine
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We give guidelines for choosing a technique dependent on the data representation, e.g., surface rendering or slice view, the type of structures to be labeled, and the individual requirements on an effective ...
Annotations of relevant structures and regions are crucial in diagnostics, treatment planning, medical team meetings as well as in medical education. ...
Internal Labels Mori and colleagues describe a method for the automatic extraction of the bronchial tree from Computed Tomography (CT) images and for the automatic identi cation and naming of the bronchial ...
doi:10.2312/vcbm.20141192
fatcat:jwijmnyj4jdyza76zidnxy4c7i
Design and Implementation of a Semantic Dialogue System for Radiologists
[article]
2017
arXiv
pre-print
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Speech-based semantic image retrieval and annotation of medical images should provide the basis for help in clinical decision support and computer aided diagnosis. ...
We will describe the clinical workflow and interaction requirements and focus on the design and implementation of a multimodal user interface for patient/image search or annotation and its implementation ...
We would like to thank Matthieu Deru for the implementation of the semantic interface elements. ...
arXiv:1701.07381v1
fatcat:f6ywhufuc5hnjlruhilzyeqh6a
Front Matter: Volume 7624
2010
Medical Imaging 2010: Computer-Aided Diagnosis
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SESSION 9 ABDOMINAL AND SKELETON
19 Computer aided segmentation of kidneys using locally shape constrained deformable models on CT images M. ...
tomography imaging [7624-30]
A. ...
doi:10.1117/12.856064
dblp:conf/micad/X10
fatcat:wiizcc3mbne5zl7h4b4y5lqbm4
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