Exploring the Potential Applications of Relaxation-Diffusion Spectrum Imaging in Neurosurgical Studies

Motivation: Relaxation-Diffusion Spectrum Imaging (RDSI) characterizes tissue apparent relaxation coefficients and factors out the effects of intra-voxel orientation heterogeneity. However, it needs to be clarified how RDSI has potential in neurosurgical research. Goal(s): We aim to investigate how RDSI can be conducive to characterizing tissue abnormalities in various neurosurgical patients. Approach: We presented two RDSI-derived indices, R2RF and RICR, to characterize tissue abnormalities. We examined the indices with an in vivo dataset, acquired using a clinical scanner, involving eight different health conditions. Results: R2RF and RICR have potential in lesion grading and treatment response evaluation. Impact: Our study promises to improve its clinical applicability and enhance our understanding of glioma biology and treatment response.