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Functional Region Annotation of Liver CT Image Based on Vascular Tree

Yufei Chen, Xiaodong Yue, Caiming Zhong, Gang Wang
2016 BioMed Research International  
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

Olivér Benis, Benedek Csaba
2021 Zenodo  
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

Tian Zhang, Zhiyi Wu, Jurgen H. Runge, Cristina Lavini, Lucas J. van Vliet, Frans M. Vos, Jaap Stoker, Thomas M. van Gulik, Kasia P. Cieslak, Elsa D. Angelini, Bennett A. Landman
2018 Medical Imaging 2018: Image Processing  
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

Marcin Ciecholewski, Michał Kassjański
2021 Sensors  
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

Lei Wang, Christian Hansen, Stephan Zidowitz, Horst K. Hahn, Stephen Aylward, Lubomir M. Hadjiiski
2014 Medical Imaging 2014: Computer-Aided Diagnosis  
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]

Dirk Selle, Wolf Spindler, Bernhard Preim, Heinz-Otto Peitgen
2001 Mathematics Unlimited — 2001 and Beyond  
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

Doan Cong Le, Jirapa Chansangrat, Nattawut Keeratibharat, Paramate Horkaew
2021 IEEE Access  
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

Sara Moccia, Elena De Momi, Sara El Hadji, Leonardo S. Mattos
2018 Computer Methods and Programs in Biomedicine  
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

Yanhui Liang, Fusheng Wang, Darren Treanor, Derek Magee, Nick Roberts, George Teodoro, Yangyang Zhu, Jun Kong
2016 International Journal of Computational Biology and Drug Design  
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

Yu-Dong Zhang, Yin Zhang, Zhengchao Dong, Ti-Fei Yuan, Liangxiu Han, Ming Yang, Carlo Cattani, Huimin Lu
2018 IEEE Access  
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

Thomas Wischgoll, Marc Herbstritt
2010 Dagstuhl Publications  
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]

Assaf B. Spanier, Leo Joskowicz
2017 Cloud-Based Benchmarking of Medical Image Analysis  
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]

Steffen Oeltze-Jafra, Bernhard Preim
2014 Eurographics Workshop on Visual Computing for Biomedicine  
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]

Daniel Sonntag and Martin Huber and Manuel Möller and Alassane Ndiaye and Sonja Zillner and Alexander Cavallaro
2017 arXiv   pre-print
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

Proceedings of SPIE, Nico Karssemeijer, Ronald M. Summers
2010 Medical Imaging 2010: Computer-Aided Diagnosis  
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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