Abstract #2441

Automated Brain Tissue and Myelin Volumetry Based on Quantitative MR Imaging with Variable In-plane Resolutions

Christina Andica¹, Akifumi Hagiwara^1,2, Misaki Nakazawa^1,3, Masaaki Hori¹, and Shigeki Aoki¹

¹Radiology, Juntendo University, Tokyo, Japan, ²Radiology, The University of Tokyo Graduate School of Medicine, Tokyo, Japan, ³Radiological Sciences, Tokyo Metropolitan University Graduate School of Human Health Sciences, Tokyo, Japan

Automated brain tissue segmentation and volumetric assessment based on the quantification of the T1 relaxation time, T2 relaxation time and the proton density (PD) have demonstrated good accuracy and reproducibility. Recently, an automated myelin volume calculation based on quantitative imaging also has been introduced. This study showed that automated brain tissue and myelin volumetry based on quantitative MR imaging with lower in-plane resolutions have good repeatability and can be obtained in short acquisition times, which is beneficial for follow-up study.

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