NDLI: Liver vasculature refinement with multiple 3D structuring element shapes

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Liver vasculature refinement with multiple 3D structuring element shapes

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Liver vasculature refinement with multiple 3D structuring element shapes

Content Provider	Springer Nature Link
Author	Kim, Do Yeon
Copyright Year	2013
Abstract	Delineating anatomical structures and other regions of interest is an important component of assisting and automating specific diagnostic, radiological, and surgical tasks. In this paper, a segmentation approach for liver region delineation is proposed, which is based on hysteresis thresholding followed by texture analysis with statistical moments. After that, the region growing method is applied to extract a hepatic vessel tree followed by hepatic vasculature refinement with multiple 3D structuring element shapes. The structure and morphology of the vascular network and its relationship with tumors and liver segments are of major interest to surgeons planning liver surgeries. Knowing the refined major vasculatures is important for surgeons to plan resection into liver segments for tumor treatment, and dissection into right and left lobes to assess accurate liver volume in determining donor suitability for liver transplantation. Therefore, an automated hepatic vessel segmentation scheme followed by vasculature refinement is recommended for planning tumor resections and living donor liver transplants. In addition, these vessel extraction and refinement methods combined with liver region segmentation techniques can also be applicable to extract tree-like organ structures such as carotid artery, renal artery, coronary artery, and airway paths from various medical imaging modalities.
Starting Page	667
Ending Page	678
Page Count	12
File Format	PDF
ISSN	14337541
Journal	Pattern Analysis & Applications
Volume Number	17
Issue Number	3
e-ISSN	1433755X
Language	English
Publisher	Springer London
Publisher Date	2013-04-24
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Hysteresis thresholding Texture analysis Region growing Mathematical morphology Vessel tree refinement 3D structuring element Pattern Recognition
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Computer Vision and Pattern Recognition

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