磁気共鳴による流速分布画像化に基づく頭蓋内圧ならびに組織弾性の非侵襲評価法 : 基礎検討(<特集>情報科学)

概要

論文の詳細を見る
A noninvasive method to evaluate intracranial pressure (ICP) and brain tissue compliance based on magnetic resonance (MR) imaging was proposed. An inverse analysis algorism to evaluate elements in an electrical circuit, which modeled two major brain circulations, blood and cerebrospinal fluid (CSF) flows, was devised. The input for the inverse analysis was the CSF flow rate obtained by phase contrast MR velocity imaging, whereas the estimation function was the square error of the estimated arterial blood flow rate. Experiments using a brain-circulation-mimicking phantom followed by numerical simulations confirmed that the proposed technique yielded relative indices of the compliance and pressure. Studies on 25 healthy (22-63 years old) and 9 patient (27-69 years old) volunteers revealed that the healthy and patient groups distributed in significantly different regions in a two-dimensional space formed by the indices of tissue compliance and intracranial pressure, demonstrating the feasibility and viability of the proposed technique for classifying the statuses of the intracranial biomechanical properties of the subjects.
東海大学の論文
2005-09-30