Robust vessel registration and tracking of microscope video images in tumor resection neurosurgery

Authors:
Siyi Ding;Michael I. Miga;Reid C. Thompson;Benoit M. Dawant
Affiliations:
Electrical Engineering, Vanderbilt University;Biomedical Engineering, Vanderbilt University;Neurosurgery Department, Vanderbilt University Medical Center;Electrical Engineering, Vanderbilt University
Venue:
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Year:
2009

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Abstract

This paper proposes a new method designed to track operative microscope video images recorded during tumor resection neurosurgery. Two steps are involved in this method. The first uses feature vectors constructed from color information of video images and shape information of selected vessels to find homologous points in consecutive frames. The second uses smoothing thin-plate splines (TPS) to interpolate the transformation computed with the vessels over the entire image. This approach only requires several pairs of starting and ending points selected on segments of vessels in the first frame of a video sequence. Then, the proposed method tracks the identified vessels automatically, rapidly, and robustly, even when surgical instruments obscure parts of the image frames.3