• Medical image analysis · Apr 2012

    CranialVault and its CRAVE tools: a clinical computer assistance system for deep brain stimulation (DBS) therapy.

    • Pierre-François D'Haese, Srivatsan Pallavaram, Rui Li, Michael S Remple, Chris Kao, Joseph S Neimat, Peter E Konrad, and Benoit M Dawant.
    • Department of Electrical Engineering & Computer Science, Vanderbilt University, Nashville, TN, USA. pierre-francois.dhaese@vanderbilt.edu
    • Med Image Anal. 2012 Apr 1; 16 (3): 744-53.

    AbstractA number of methods have been developed to assist surgeons at various stages of deep brain stimulation (DBS) therapy. These include construction of anatomical atlases, functional databases, and electrophysiological atlases and maps. But, a complete system that can be integrated into the clinical workflow has not been developed. In this paper we present a system designed to assist physicians in pre-operative target planning, intra-operative target refinement and implantation, and post-operative DBS lead programming. The purpose of this system is to centralize the data acquired a the various stages of the procedure, reduce the amount of time needed at each stage of the therapy, and maximize the efficiency of the entire process. The system consists of a central repository (CranialVault), of a suite of software modules called CRAnialVault Explorer (CRAVE) that permit data entry and data visualization at each stage of the therapy, and of a series of algorithms that permit the automatic processing of the data. The central repository contains image data for more than 400 patients with the related pre-operative plans and position of the final implants and about 10,550 electrophysiological data points (micro-electrode recordings or responses to stimulations) recorded from 222 of these patients. The system has reached the stage of a clinical prototype that is being evaluated clinically at our institution. A preliminary quantitative validation of the planning component of the system performed on 80 patients who underwent the procedure between January 2009 and December 2009 shows that the system provides both timely and valuable information.Copyright © 2010 Elsevier B.V. All rights reserved.

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