Improved intracranial compliance index quantification system

• Main Authors: Chia-Yi Lin, 林佳怡
• Other Authors: Da-Chuan Cheng
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/zayukn

碩士 === 中國醫藥大學 === 生物醫學影像暨放射科學學系碩士班 === 106 === In this study we use phase contrast (PC) MRI to measure the blood flow in ICA (internal carotid artery), VA (vertebral artery) and IJV (internal jugular vein). Also we measure the cerebral spinal fluid (CSF) flow. Combined these measurement we are able to calculate the intracranial compliance index (ICCI), which is defined by previous study. In order to measure blood flow, we use different vessel segmentation techniques. The 3D dynamic programming is applied to segment ICA, the active contour model is used to segment IJV and the Hough circle transform is used to segment VA. With a proposed pre-process algorithm the positions of ICA, VA, and IJV are fully automated detected and segmented. In the first experiment, the average value of CSF peak-to-peak pressure gradient (PGp-p) is 0.0624 (mmHg/cm), the average value of the peak-to-peak intracranial volume change (ICVCp-p) is 0.422 (ml), and the average ICCI is 7.12 (ml/(mmHg/cm)). In the second experiment, the reproducibility of the ICCI in awake group (CV: coefficient of variation = 10.0%) is better than that of the non-interfering group (CV = 25.7%). Based on the experiment, we conclude that the ICCI measurement should be done under the state of consciousness during the measurement. The conscious state is a factor which will affect the intracranial compliance index and reduce the reproducibility. The system can be used as a long-term non-invasive monitoring of patients suffering spontaneous intracranial hypertension.