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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  
Different medical imaging techniques are currently used in clinical practice and an appropriate choice of the segmentation algorithm is mandatory to deal with the adopted imaging technique characteristics  ...  For each analyzed approach, summary tables are presented reporting imaging technique used, anatomical region and performance measures employed.  ...  Once the vessel centerlines is extracted, an intensity model based on FMM and integrated into graph cuts is applied to obtain the segmentation.  ... 
doi:10.1016/j.cmpb.2018.02.001 pmid:29544791 fatcat:cchvmvuy5zgzzetv5hwc67nnbe

Special Session on Abdominal CAD

2008 International Journal of Computer Assisted Radiology and Surgery  
Acknowledgments This study was supported in part by a Grant-in-Aid for Scientific Research from the Ministry of Education, Culture, Sports, Science, and Technology, Japan, and a Grant-in-Aid for Cancer  ...  Research from the Ministry of Health, Labour, and Welfare, Japan.  ...  The densitometric correction calculates an adaptive correction field around tagged regions [2] .  ... 
doi:10.1007/s11548-008-0193-x fatcat:2keil6uhbndanix77qqxoofd3u

Front Matter: Volume 9035

2014 Medical Imaging 2014: Computer-Aided Diagnosis  
The complete citation is used on the first page, and an abbreviated version on subsequent pages. Numbers in the index correspond to the last two digits of the six-digit CID Number.  ...  SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model, with papers published first online and then in print and on CD-ROM.  ...  Summers, National Institutes of Health (United States) 9035 10 An adaptive approach to centerline extraction for CT colonography using MAP-EM segmentation and distance field [9035-35] H.  ... 
doi:10.1117/12.2064848 dblp:conf/micad/X14 fatcat:gsur3ldv7vadbfl3uo34ghmf7a

CARS 2021: Computer Assisted Radiology and Surgery Proceedings of the 35th International Congress and Exhibition Munich, Germany, June 21–25, 2021

2021 International Journal of Computer Assisted Radiology and Surgery  
The distance map is estimated on the CT volume, which has high on the centerlines, and low on the intestines' peripheral parts.  ...  The intestine labels are converted to the distance maps. The distance maps have high values (1.0) in the centerlines, and low values (0.0) in intestine walls or outside the intestines.  ...  Artificial intelligence coronary calcium scoring in low dose chest CT-Ready to go?  ... 
doi:10.1007/s11548-021-02375-4 pmid:34085172 fatcat:6d564hsv2fbybkhw4wvc7uuxcy

CARS 2016—Computer Assisted Radiology and Surgery Proceedings of the 30th International Congress and Exhibition Heidelberg, Germany, June 21–25, 2016

2016 International Journal of Computer Assisted Radiology and Surgery  
We would like to thank the Spanish company BQ for the donation of the 3D printing hardware for clinical use.  ...  '', and Amazon Inc., for providing valuable computing resources through an ''AWS in Education Research'' grant.  ...  [4] is adapted and modified for point set registration of vessel points extracted from the US-CT images.  ... 
doi:10.1007/s11548-016-1412-5 pmid:27206418 fatcat:uk5r46n2xvhedkfjzmeiweyneq

CARS 2020—Computer Assisted Radiology and Surgery Proceedings of the 34th International Congress and Exhibition, Munich, Germany, June 23–27, 2020

2020 International Journal of Computer Assisted Radiology and Surgery  
the exchange/communication of R&D ideas by means of verbal and written statements made by responsible authors, scrutinized by informed reviewers and utilized by an open-minded audience, with the aim to  ...  With an increasing general demand and pressure on CARS to also go fully digital in the long term, many members of the CARS Congress Organizing Committee, however, are more cautious and convinced that one  ...  This research is an ongoing project where we are working to achieve a fully automated and validated end-product assessment using the Welling Scale.  ... 
doi:10.1007/s11548-020-02171-6 pmid:32514840 fatcat:lyhdb2zfpjcqbf4mmbunddwroq

Model-based image segmentation in medical applications

Zhen Qian
2007
In this thesis, two model-based image segmentation algorithms are developed for 3D MR colonography and 2D cardiac tagged MRI. For 3D MR colonography, we manually build the shape and intensity model.  ...  In this thesis, we will first give a short survey of current approaches of medical image segmentation. Then we specifically develop appearance and shape models for different segmentation tasks.  ...  We adapt the same graphic model (see Fig. 4 .3) of TCA [19] . This is a probability model that jointly estimates the rotation matrix R and the component model P and b via an EM approach.  ... 
doi:10.7282/t33n23sw fatcat:ylkdsukfobbnnklejnlpfb7zxi