Masters Applied Projects
Masters Applied Projects
Project 16
Project 16
Translating Tissue Microstructure Quantification from MR Diffusion Imaging to the Operating Room
Student:
Justin Hines
Mentors:
Dr. Scott Beeman, PhD – Arizona State University, SBHSE
Dr. Vikram Kodibagkar, PhD - Arizona State University, SBHSE
Dr. Yuxiang Zhou, PhD – Mayo Clinic
YouTube Link:
View the video link below before joining the zoom meeting
Zoom Link:
https://asu.zoom.us/j/4867590520
Abstract
Diffusion tensor imaging (DTI) of the brain in magnetic resonance imaging (MRI) contains valuable quantitative microstructural detail that, when extracted through post processing software, can be translated to the operating room for enhanced surgical planning. This project establishes an image acquisition and data processing/modelling pipeline that translates quantitative, biophysical data extracted from a novel MRI diffusion imaging sequence to the operating room. DICOM header data was evaluated from clinically imaged patients scanned with a clinical DTI sequence and a novel DTI sequence acquisition. These sequences were routed to commercially-available post-processing software for the generation of fractional anisotropy (FA) and apparent diffusion coefficient (ADC) maps. Parameters were also extracted and inputted into our novel mathematical model for quantification of tissue microstructure. Results from this novel acquisition and modelling scheme were compared directly against the clinical diffusion tensor imaging datasets acquired from the same patient. Validation was completed by comparing FA maps from our mathematical model with the commercially-available post-processing software. FA maps were validated through the use of region-of-interest (ROIs) of common anatomical brain structures with the use of a mutual image registration software. Once model results were confirmed, they were translated into a format in which they could be transferred to the “Stealth system”, the image viewing environment used for both surgical planning and image guidance of surgery in the operating room.