Knowledge-based Segmentation: Using Simultaneous Shape Priori and Histogram Information to Segment Brain Structures

N. Batmanghelich, H. Soltanian-Zadeh, B. Aarabi, Knowledge-based Segmentation: Using Simultaneous Shape Priori and Histogram Information to Segment Brain Structures. IASTED Conference on Signal and Image Processing, pp 15-17, 2005.

In this paper, we propose a new method integrating both a priori shape information and our knowledge about gray levels of the desired structure. We describe an approach inspired from tracking to deal with non-uniform gray levels. We define focus region to consider both interior and exterior of the desired object. We utilize signed distance function to consider shape information. Embedding a priori shape and gray level knowledge in a statistical platform, we use correlation between changes in shape and histogram to improve the results. Our method successfully segments Thalamus and other brain structures.

Publication Year: 
2005
Faculty Author: 
Publication Credits: 
N. Batmanghelich, H. Soltanian-Zadeh, B. Aarabi
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