Multi-Atlas Image Segmentation of Thoracic & Abdominal Anatomy
Author(s):
Pooja Waghmare , M. D. Mali , Sunita P. Sagat
ISSN:
2349-6002
Cite This Article:
Multi-Atlas Image Segmentation of Thoracic & Abdominal Anatomy International Journal of Innovative Research in Technology(www.ijirt.org) ,ISSN: 2349-6002 ,Volume 6 ,Issue 8 ,Page(s):9-12 ,December 2019 ,Available :IJIRT148918_PAPER.pdf
Keywords:
Atlas segmentation; image registration; level sets, Multi Atlas Fusion.
Abstract
Image segmentation is a concept that describes removal of or extraction of part of the image that contains meaningful data in comparison with the whole image. The main objective of segmentation is region partitioning that are different on visual basis or property wise and/or characteristically meaningful. Accurate segmentation of human anatomy is critically fundamental as well as most time consuming task in medical planning. This is required mainly for medical diagnosis, qualitative analysis & treatment planning. Atlas based segmentation approach guides the segmentation process relying on the concept of an atlas & the target subject image. Atlas is nothing but an already pre-segmented reference image volume validated by an expert that includes structure of interests. The atlases are mapped with the image to be segmented.
Article Details
Unique Paper ID: 148918

Publication Volume & Issue: Volume 6, Issue 8

Page(s): 9 - 12
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Volume 6 Issue 8

Last Date 25 January 2020


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