Accepted for presentation at ASTRO's 53rd Annual Meeting, October
2-6, 2011, Miami Beach Convention Center, Miami Beach, Fla.
A Multiphase Technological Validation of a MRI Prostate Cancer
Computer Autosegmentation Software Algorithm
Spencer Martin, Nikhilesh Patil, Stewart Gaede, Alexander Louie,
Glenn Bauman, David D’Souza, Tracy Sexton, David Palma, Farzad
Khalvati, Hamid Tizhoosh, George Rodrigues
Segmentation of the prostate gland on MRI imaging can be time consuming
and may be subject to intra- and inter-physician reliability effects.
The purpose of this investigation was to perform a rigorous technological
assessment and validation of a software package/algorithm that can
provide prostate autocontours on prostate MRI datasets.
Methods and Materials:
A three-phase validation strategy for the evaluation of a computer
autosegmentation software algorithm (Segasist PMR-C, Segasist Technologies,
Toronto ON) was employed....... *
Assessment of the pre- and post-autosegmented contours demonstrated
a higher average DICE score of 0.94 suggesting that the algorithm
was providing robust initial contours that required minimal editing..........*
The Segasist PMR-C autocontouring algorithm has been validated
to assist clinicians in the segmentation of prostate MRI datasets
in terms of contouring time and accuracy. The software provides
robust contours with minimal editing required by the user.........
* Full text not available due to copy right restrictions