[P2-A7-047] Construction of voxel-based morphometry of R₁ and R₂* derived from quantitative parameter mapping

Yuki Kanazawa¹, Yuki Kinjo², Masafumi Harada¹, Hiroaki Hayashi³, Yo Taniguchi⁴, Yoshitaka Bito⁵, Yuki Matsumoto¹, Masaharu Ono⁵ (1.Graduate School of Biomedical Sciences, Tokushima University, 2.School of Health Sciences, Tokushima University, 3.Kanazawa University, 4.Research & Development Group, Hitachi, Ltd., 5.Healthcare Business Unit, Hitachi, Ltd.)

[P2-A7-048] The benefit of convolutional neural-network for generating myelin volume fraction map from synthetic MRI images

Yasuhiko Tachibana^1,2, Akifumi Hagiwara^2,3, Masaaki Hori², Misaki Nakazawa², Tokuhiko Omatsu¹, Riwa Kishimoto¹, Shigeki Aoki², Tatsuya Higashi⁴, Takayuki Obata¹ (1.Applied MRI Research, Dept. Molecular Imaging and Theranositics, NIRS, QST, 2.Department of Radiology, Juntendo University School of Medicine, 3.Department of Radiology, Graduate School of Medicine, The University of Tokyo, 4.Department of Molecular Imaging and Theranostics, NIRS, QST)

[P2-A7-049] The influence of slice gap on the quantitative value of Synthetic MRI

Akira Horiuchi, Hitomi Yokokawa, Ryouta Ono, Hirotsugu Matsumoto, Sonoka Nakachi, Miki Igarashi, Shouichi Mizukami (Department of Radiology , Ookubo Hospital)

[P2-A7-050] Computation of T2-weighted images from quantitative MR parameter maps acquired by using three dimensional RF-spoiled gradient echo

Tomoki Amemiya, Yo Taniguchi, Suguru Yokosawa, Toru Shirai, Ryota Sato, Hisaaki Ochi (Research & Development Group, Hitachi, Ltd.)

[P2-A7-051] Reliability of Cortical Thickness Analysis and Subcortical Structure Volumetry in Healthy Volunteers based on 3D Synthetic MRI

Shohei Fujita¹, Akifumi Hagiwara^1,2, Masaaki Hori¹, Issei Fukunaga¹, Takuya Haruyama^1,3, Moeko Horita^1,3, Andica Christina¹, Tomoko Maekawa^1,2, Ryusuke Irie^1,2, Koji Kamagata¹, Kanako Kumamaru¹, Akihiko Wada¹, Nozomu Hamasaki¹, Shigeki Aoki¹ (1.Department of Radiology, Juntendo University School of Medicine, 2.Department of Radiology, Graduate School of Medicine, The University of Tokyo, 3.Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University)

[P2-A7-052] Synthetic MR Angiography: MR Angiography based on 3D Synthetic MR imaging

Shohei Fujita¹, Akifumi Hagiwara^1,2, Nozomu Hamasaki¹, Masaaki Hori¹, Yujiro Otsuka³, Issei Fukunaga¹, Nao Takano¹, Takuya Haruyama^1,4, Moeko Horita^1,4, Andica Christina¹, Tomoko Maekawa^1,2, Ryusuke Irie^1,2, Koji Kamagata¹, Kanako Kumamaru¹, Michimasa Suzuki¹, Akihiko Wada¹, Shigeki Aoki¹ (1.Department of Radiology, Juntendo University School of Medicine, 2.Department of Radiology, Graduate School of Medicine, The University of Tokyo, 3.Milliman, Inc., 4.Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University)

[P2-A7-053] Brain tissue and myelin volumetry based on synthetic MRI with various in-plane resolutions at 3.0 T MRI system

Moeko Horita^1,2, Christina Andica², Akifumi Hagiwara^2,3, Masaaki Hori², Koji Kamagata², Ryusuke Irie^2,3, Akihiko Wada², Tomoko Maekawa^2,3, Shohei Fujita², Nozomu Hamasaki², Kanako Kumamaru², Takuya Haruyama^1,2, Takako Shirakawa¹, Akira Furukawa¹, Shigeki Aoki² (1.Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, 2.Department of Radiology, Juntendo University School of Medicine, 3.Department of Radiology, Graduate School of Medicine, The University of Tokyo)

[P2-A7-054] The correlation of signal and TI on IR image using Synthetic MRI ; comparison with white matter hyperintensity and chronic cerebral infarction

Mari Miyata¹, Shingo Kakeda¹, Hidekuni Narimatsu¹, Hiroyuki Kabasawa², Atsushi Nozaki², Yukunori Korogi¹ (1.Department of Radiology, University of Occupational and Environmental Health, 2.GE Healthcare Japan)

Session information

Synthetic MRI