Application of open source image guided therapy software in MR-guided therapies

Authors:
Nobuhiko Hata;Steve Piper;Ferenc A. Jolesz;Clare M. C. Tempany;Peter McL Black;Shigehiro Morikawa;Horoshi Iseki;Makoto Hashizume;Ron Kikinis
Affiliations:
National Center for Image-guided Therapy, Department of Radiology, Brigham and Women's Hospital and Harvard Medical School;Department of Neurosurgery, Brigham and Women's Hospital and Harvard Medical School;National Center for Image-guided Therapy, Department of Radiology, Brigham and Women's Hospital and Harvard Medical School;National Center for Image-guided Therapy, Department of Radiology, Brigham and Women's Hospital and Harvard Medical School;Department of Neurosurgery, Brigham and Women's Hospital and Harvard Medical School;Shiga Medical University;Tokyo Women's Medical University;Kyusyu University;National Center for Image-guided Therapy, Department of Radiology, Brigham and Women's Hospital and Harvard Medical School
Venue:
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Year:
2007

Citing 3
Cited 1

How the Role of Computing is Driving New Genetics' Public Policy

Ethics and Information Technology
IGSTK: An Open Source Software Toolkit for Image-Guided Surgery

Computer
An Open Source Approach to Developing Software in a Small Organization

IEEE Software

Design of a robotic system for MRI-guided deep brain stimulation electrode placement

ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present software engineering methods to provide free open-source software for MR-guided therapy. We report that graphical representation of the surgical tools, interconnectively with the tracking device, patient-to-image registration, and MRI-based thermal mapping are crucial components of MR-guided therapy in sharing such software. Software process includes a network-based distribution mechanism by multi-platform compiling tool CMake, CVS, quality assurance software DART. We developed six procedures in four separate clinical sites using proposed software engineering and process, and found the proposed method is feasible to facilitate multicenter clinical trial of MR-guided therapies. Our future studies include use of the software in non-MR-guided therapies.