Open AccessAutomated medical image segmentation techniques
Author(s) -
Neeraj Sharma,
AmitK Ray,
K. K. Shukla,
Shiru Sharma,
Satyajit Pradhan,
Arvind Srivastva,
Lalit Mohan Aggarwal
Publication year - 2010
Publication title -
journal of medical physics/journal of medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.292
H-Index - 24
eISSN - 1998-3913
pISSN - 0971-6203
DOI - 10.4103/0971-6203.58777
Subject(s) - artificial intelligence , computer vision , computer science
Accurate segmentation of medical images is a key step in contouring during radiotherapy planning. Computed topography (CT) and Magnetic resonance (MR) imaging are the most widely used radiographic techniques in diagnosis, clinical studies and treatment planning. This review provides details of automated segmentation methods, specifically discussed in the context of CT and MR images. The motive is to discuss the problems encountered in segmentation of CT and MR images, and the relative merits and limitations of methods currently available for segmentation of medical images.