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2008
IEEE

Segmentation of the Liver from Abdominal CT Using Markov Random Field Model and GVF Snakes

8 years 8 months ago
Segmentation of the Liver from Abdominal CT Using Markov Random Field Model and GVF Snakes
Liver segmentation from scans of the abdominal area is an important step in several diagnostic processes. CT scans of the abdominal area contain several organs in close proximity exhibiting similar image characteristics. In this paper, we present preliminary results on an algorithm that uses Markov Random Fields to obtain an initial contour of the liver. Gradient vector fields (GVF) and active contours are used to refine the initial estimate and segment the liver. Tests are reported on 13 clinical cases using a similarity metric that combines area and space.
Raja' S. Alomari, Suryaprakash Kompalli, Vipin Cha
Added 29 May 2010
Updated 29 May 2010
Type Conference
Year 2008
Where CISIS
Authors Raja' S. Alomari, Suryaprakash Kompalli, Vipin Chaudhary
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