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Abstract #2441

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

Christina Andica1, Akifumi Hagiwara1,2, Misaki Nakazawa1,3, 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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