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Abstract #4011

A Principal Eigenvector Based Segmental Approach for Reproducible White Matter Quantitative Tractography

Shruti Agarwal1, Richa Trivedi2, Rakesh Kumar Gupta2, Ram Kishore Singh Rathore1

1Department of Mathematics & Statistics, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India; 2Department of Radiodiagnosis, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India

Most common methods of fiber tracking rely on a knowledge based selection of ROIs on appropriate slice and then generating the fibers from there followed by cleaning and augmenting the bundle obtained. For a part of source and destination ROIs the procedure is similar. However, in practice the selection of the right ROIs and the subsequent additions and deletions are normally quite time consuming in practice and involves a considerable amount of trial and error. In this presentation we propose a principal eigenvector (e1) field segmentation using which the selection of ROIs becomes less time consuming.