Grid-Enabled Software Environment for Enhanced Dynamic Data-Driven Visualization and Navigation During Image-Guided Neurosurgery

Abstract

Abstract. In this paper we present our experience with an Image Guided Neurosurgery Grid-enabled Software Environment (IGNS-GSE) which integrates real-time acquisition of intraoperative Magnetic Resonance Imaging (IMRI) with the preoperative MRI, fMRI, and DT-MRI data. We describe our distributed implementation of a non-rigid image registration method which can be executed over the Grid. Previously, non-rigid registration algorithms which use landmark tracking across the entire brain volume were considered not practical because of the high computational demands. The IGNS-GSE, for the first time ever in clinical practice, alleviated this restriction. We show that we can compute and present enhanced MR images to neurosurgeons during the tumor resection within minutes after IMRI acquisition. For the last 12 months this software system is used routinely (on average once a month) for clinical studies at Brigham and Women's Hospital in Boston, MA. Based on the analysis of the registration results, we also present future directions which will take advantage of the vast resources of the Grid to improve the accuracy of the method in places of the brain where precision is critical for the neurosurgeons.

Toward Real-Time Image Guided Neurosurgery Using Distributed and Grid Computing

“…This Chapter presented only a few of the most important findings and results. However, several efforts at CRTC alone address other aspects like: (1) robust and real-time image-to-mesh (I2M) conversion [44,92,64,65,42,21,43,47,48,59,77,8,15,16,51,50,53,52,54,78,17,55,56,49,57,29,58,31,46,29,30,60], (2) more accurate computation of Hausdorf Distance [13,41], (3) parallel Euclidean Distance Transform, which is critical for parallel I2M conversion [98], and many preliminary efforts that lead to the findings presented in this Chapter and we list them here for completeness without expanding on them [6,45,22,20,74,75,104,76,83,72,81,…”