Masutani Y Deep learning-based diffusion MRI analysis software.
IEEE International Symposium on Biomedical Imaging (ISBI) 2022, Kolkata, India (Hybrid), Mar. 2022
Nomura S, Nemoto M, Hayashi N, Hanaoka S, Murata M, Yoshikawa T, Masutani Y, Maeda E, Abe O, Tanaka HKM Pilot study of eruption forecasting with muography using convolutional neural network
Sci Rep . 2020 Mar 24;10(1):5272
Miki S, Nomura Y, Hayashi N, Hanaoka S, Maeda E, Yoshikawa T, Masutani Y, Abe O. Prospective Study of Spatial Distribution of Missed Lung Nodules by Readers in CT Lung Screening Using Computer-assisted Detection
Acad Radiol . 2020 Apr 15;S1076-6332(20)30156-2 [Online ahead of print]
国際学会発表
Masutani Y, Fujiwara T, and Sasaki K Synthetic Q-Space Learning with Mixture Distribution Noise for Robust DKI Parameter Inference
International Forum on Medical Imaging in Asia (IFMIA) 2021, Taiwan (online), Jan. 2021
Masutani Y Diffusion MRI Fiber Tractography by Flow Field Formation with Extended Physarum Solver: A Pilot Study with 2D Phantoms
In Bonet-Carne E, Hutter J, Palombo M, et al., (Eds.), Computational Diffusion MRI (MICCAI Workshop, Shenzhen, China, October 2019)
pp.183-192, Springer, Nov. 2020
Hoshino S. Ishiwata T. Nakano Y. Fukushima M. Fujiwara H. Araki M. Tsukiyama K. Mid-Infrared Amplified Spontaneous Emission from the f′0g + (1D2) Ion-Pair State and Spectroscopic Characterization of the Shallow 0g+ (ab) Valence State of I2
J. Phys. Chem. A, 123:7590-7596, 2019
Nomura Y, Miki S, Hayashi N, Hanaoka S, Sato I, Yoshikawa T, Masutani Y, Abe O. Novel platform for development, training, and validation of computer-assisted detection/diagnosis software
Int J Comput Assist Radiol Surg. 2020 [Epub ahead of print]
和文原著論文
増谷 佳孝、石田 善喜 Demonsアルゴリズムの一般化とその応用
Medical Imaging Technology 37(4):204-210, 2019年9月
Masutani Y Noise Level Matching Improves Robustness of Diffusion MRI Parameter Inference by Synthetic Q-Space Learning
IEEE 16th International Symposium on Biomedical Imaging (ISBI), Venice, Italy, Apr. 2019
Sasaki K, Masutani Y DKI parameter inference by deep neural networks trained by synthetic data
International Society for Magnetic Resonance in Medicine (ISMRM) 27th Annual Meeting & Exhibition, Montreal, Canada, May 2019
Masutani Y Brain Local Structure Inference by using Diffusion MRI and Deep Neural Networks
Computational and Mathematical Biomedical Engineering (CMBE) 2019, Sendai, Japan, Jun. 2019
Masutani Y Diffusion MRI Parameter Inference by Deep Regression Neural Network
9th International Congress on Industrial and Applied Mathematics (ICIAM 2019), Valencia, Spain, July. 2019
Ueki S, Fujiwara H Measurement Resolution of Diffraction Phase Microscopy as Investigated with Reflection Interference Microscopy
The 6th International Symposium on Bioimaging, Tokyo, Japan, Sept. 2019
Masutani Y Diffusion MRI Fiber Tractography by Flow Field Formation with Extended Physarum Solver: A Pilot Study with 2D Phantoms
MICCAI 2019 Workshop on Computational Diffusion MRI (CDMRI), Shenzhen, China, Oct. 2019
増谷 佳孝、Peter Wijeratne Introduction to Disease Progression Modelling based on Machine Learning（機械学習に基づく疾患進行モデリングについて）
CREST・さきがけ・AIMaP合同シンポジウム「数学パワーが世界を変える2020」, 東京, 2020年2月
Masutani Y and Hontani H CA to MCA: Four Aspects toward Comprehensive Understanding of Human Body
ACPR2019 Workshop on Image and Pattern Analysis for Multidisciplinary Computational Anatomy, Auckland, New Zealand, Nov. 2019
佐々木 公、増谷 佳孝、廣川 裕 Estimation of diffusional kurtosis using deep regression neural network (DRNN): experiments with synthetic training data
第46回日本磁気共鳴医学会, 金沢, 2018年9月
増谷 佳孝、佐々木 公 Model parameter inference for diffusion MRI signal models by using deep regression neural network and its validation
第46回日本磁気共鳴医学会, 金沢, 2018年9月
Masutani Y Noise level effects on dMRI parameter inference by synthetically trained deep neural networks
Centre for Medical Image Computing, University College London, London, UK, Nov. 2018
2017年度
英文原著論文
Takemura MY, Hori M, Yokoyama K, Hamasaki N, Suzuki M, Kamagata K, Kamiya K, Suzuki Y, Kyogoku S, Masutani Y, Hattori N, Aoki S Alterations of the optic pathway between unilateral and bilateral optic nerve damage in multiple sclerosis as revealed by the combined use of advanced diffusion
Magn Reson Img. 39:24-30, 2017
Taoka T, Masutani Y, Kawai H, Nakane T, Matsuoka K, Yasuno F, Kishimoto T, Naganawa S Evaluation of glymphatic system activity with the diffusion MR technique: diffusion tensor image analysis along the perivascular space (DTI-ALPS) in Alzheimer’s disease cases.
Jpn J Radiol. 35(4):172-178, 2017
国際学会発表
Masutani Y, Sasaki K Toward Analytic Computation of Fiber-Radial Diffusional Kurtosis by Q-Space Data Representation with Radial Basis Functions
International Society for Magnetic Resonance in Medicine (ISMRM) 25th Annual Meeting & Exhibition, Hawaii, USA, Apr. 2017
Kobatake H, Masutani Y (Eds.) Computational Anatomy Based on Whole Body Imaging: Basic Principles of Computer-Assisted Diagnosis and Therapy
Springer, June 2017
Masutani Y 12 years in a university hospital for research and development of medical imaging software
JSPS-NSF Bilateral Joint Research Seninar, Kyoto, Japan, Nov. 2017
Hanaoka S, Masutani Y, Nemoto M, Nomura Y, Miki S, Yoshikawa T, Hayashi N, Ohtomo K, Shimizu A Landmark-guided diffeomorphic demons algorithm and its application to automatic segmentation of the whole spine and pelvis in CT images
Int J Comput Assist Radiol Surg. 2017 Mar;12(3):413-430
Taoka T, Masutani Y, Kawai H, Nakane T, Matsuoka K, Yasuno F, Kishimoto T, Naganawa S Evaluation of glymphatic system activity with the diffusion MR technique: diffusion tensor image analysis along the perivascular space (DTI-ALPS) in Alzheimer’s disease cases.
Jpn J Radiol. 2017 Apr;35(4):172-178, 2017 (Epub 2017 Feb 14)
Hanaoka S, Nakano Y, Nemoto M, Nomura Y, Takenaga T, Miki S, Yoshikawa T, Hayashi N, Masutani Y, Shimizu Automatic detection of vertebral number abnormalities in body CT images
Int J Comput Assist Radiol Surg. 2017 Jan 6
Hanaoka S, Shimizu A, Nemoto M, Nomura Y, Miki S, Yoshikawa T, Hayashi N, Ohtomo K, Masutani Y Automatic detection of over 100 anatomical landmarks in medical CT images: A framework with independent detectors and combinatorial optimization
Med Image Anal. 2017 Jan;35:192-214
Yokoyama K, Hamasaki N, Suzuki M, Kamagata K, Kamiya K, Suzuki Y, Kyogoku S, Masutani Y, Hattori N, Aoki S Alterations of the optic pathway between unilateral and bilateral optic nerve damage in multiple sclerosis as revealed by the combined use of advanced diffusion kurtosis imaging and visual evoked potentials
Magn Reson Imaging. 2016 Apr 21;39:24-30
Ahara K, Suzuki M, Masutani Y, and Ueda T (Book Chapter) Basic Research for the Patient-Specific Surgery Support System—An Identification Algorithm of the Mesentery Using 3D Medical Images
The Role and Importance of Mathematics in Innovation (Part of the Mathematics for Industry book series, volume 25), pp.77-86, August, 2016
Taoka T, Fujioka M, Kashiwagi Y, Obata A, Rokugawa T, Hori M, Masutani Y, Aoki S, Naganawa S, Abe K Time Course of Diffusion Kurtosis in Cerebral Infarctions of Transient Middle Cerebral Artery Occlusion Rat Model.
J Stroke Cerebrovasc Dis. 25(3):610-7, Mar 2016 (Epub 2015 Dec 24.)
Miki S, Hayashi N, Masutani Y, Nomura Y, Yoshikawa T, Hanaoka S, Nemoto M, Ohtomo K Computer-Assisted Detection of Cerebral Aneurysms in MR Angiography in a Routine Image-Reading Environment: Effects on Diagnosis by Radiologists.
AJNR Am J Neuroradiol. 2016 Feb 18. [Epub ahead of print]
国際学会・研究会発表
Masutani Y, Hori M, and Aoki S Unstructured sampling and RBF-based ODF reconstruction in Q-space for diffusion MR tractography
Computer-Assisted Radiology and Surgery 2015, Barcelona, Spain, June 2015
(conference paper: Int. J. Comp. Assist Rad. Surg. 10(S1):S192-S193, 2015)
Nomura Y, Masutani Y, Kudo S, Nakaguchi T, Hanaoka S, Nemoto M, Miki S, Yoshikawa T, Hayashi N Preliminary study for training and evaluation of various computerized detection software of cerebral aneurysms in-hospital testbed environment
Computer-Assisted Radiology and Surgery 2015, Barcelona, Spain, June 2015
(conference paper: Int. J. Comp. Assist Rad. Surg. 10(S1):S132-S133, 2015)
Masutani Y An Algorithm Dedicated to Corticospinal Tract Tracking by Tensor Field Replacement for Crossing Fiber Cancelling
MICCAI DTI Challenge on Tractography for Brain Tumor Surgery, Oct., 2015
Hanaoka S, Nomura Y, Nemoto M, Miki S, Yoshikawa T, Hayashi N, Ohtomo K, Masutani Y, Shimizu A HoTPiG: A Novel Geometrical Feature for Vessel Morphometry and Its Application to Cerebral Aneurysm Detection
MICCAI 2015 Volume 9350 of the series Lecture Notes in Computer Science pp 103-110
Miyazaki D, Saneshige T, Baba M, Furukawa R, Aoyama M, Hiura S Metamerism-Based Shading Illusion, Proc. IAPR Int. Conf. on Machine Vision Applications
MVA2015, May, 2015
和文研究速報
木田 智士、増谷 佳孝、中野 正寛、今江 禄一、中川 恵一、芳賀 昭弘 逐次最適化散乱補正アルゴリズムを用いた kilo-voltage cone beam CT の画質改善
MEDICAL IMAGING TECHNOLOGY, vol.33, no.3, May, 2015
Nomura Y, Miki S, Hayashi N, Masutani Y, Hanaoka S, Nemoto M, Yoshikawa T, and Ohtomo K Building an integrated CAD development environment in clinical settings (the 8th report): toward the realization of open CAD processing environment
第74回日本医学放射線学会総会抄録集, pp.S339, Apr. , 2015
増谷 佳孝 Fast and Robust Estimation of Diffusional Kurtosis Imaging (DKI) Parameters by General Closed-form Expressions and their Extensions
日本磁気共鳴医学会優秀論文賞受賞記念講演, 2015年9月
Hori M, Tsutsumi S, Yasumoto Y, Ito M, Suzuki M, Tanaka FS, Kyogoku S, Nakamura M, Tabuchi T, Fukunaga I, Suzuki Y, Kamagata K, Masutani Y, Aoki S Cervical spondylosis: Evaluation of microstructural changes in spinal cord white matter and gray matter by diffusional kurtosis imaging.
Magn Reson Imaging. 32(5):428-32., Jun., 2014
Hori M, Yoshida M, Yokoyama K, Kamagata K, Kumagai F, Fukunaga I, Kamiya K, Suzuki M, Masutani Y, Hamasaki N, Suzuki Y, Kyogoku S, Hattori N, Aoki S Multiple sclerosis: Benefits of q-space imaging in evaluation of normal-appearing and periplaque white matter.
Magn Reson Imaging. 32(6):625-9, Jul., 2014
Igaki H, Sakumi A, Mukasa A, Saito K, Kunimatsu A, Masutani Y, Hanakita S, Ino K, Haga A, Nakagawa K, Ohtomo K Corticospinal tract-sparing intensity-modulated radiotherapy treatment planning.
Rep Pract Oncol Radiother. 19(5):310-6, Jul., 2014
Haga A, Nakagawa K, Maurer C, Ruchala K, Chao E, Casey D, Kida S, Sakata D, Nakano M, Magome T, Masutani Y Reconstruction of the treatment area by use of sinogram in helical tomotherapy.
Radiat Oncol. 9(1):252, Nov. 2014 [Epub ahead of print]
Nakagawa K, Haga A, Sasaki K, Kida S, Masutani Y, Yamashita H, Takahashi W, Igaki H, Sakumi A, Ohtomo K, Yoda K Lung tumor motion reproducibility for five patients who received four-fraction VMAT stereotactic ablative body radiotherapy under constrained breathing conditions: a preliminary study.
J Radiat Res., 55(6):1199-201, Nov., 2014
国際学会・研究会発表
Hanaoka S, Masutani Y, Nemoto M, Nomura Y, Miki S, Yoshikawa T, Hayashi N, Ohtomo K Semiautomatic segmentation of whole-spinal vertebrae in CT volumes by multiatlas method: accuracy improvement by using anatomical landmark position information
Int. J. of CARS 9(suppl.1)pp.S299-300, June, 2014
Masutani Y On the Effect of Diffusion Tensor Estimation Accuracy for Pyramidal Tract Tracking with Crossing Fiber Cancelling
MICCAI 2014 DTI Challenge, Sep., 2014
Nakane T, Baba M, Hiura S, Furukawa R, Miyazaki D, Aoyama M Simulating Tilt-Shift Lens Using Distributed Ray Tracing
IEVC2014, Oct. 2014
Baba M, Ishimaru K, Hiura S, Furukawa R, Miyazaki D, Aoyama M Estimation of Scattering Properties of Participating Media Using Multiple-Scattering Renderer
IEVC2014, Oct. 2014
Furukawa R, Aoyama M, Hiura S, Aoki H, Kominami Y, Sonomura Y, Yoshida S, Tanaka S, Sagawa R, Kawasaki H Calibration of a 3D Endoscopic System based on Active Stereo Method for Shape Measurement of Biological Tissues and Specimen
EMBC2014, pp.4991-4994, Aug. 2014
Nomura Y, Masutani Y, Hayashi N, Miki S, Hanaoka S, Nemoto M, Yoshikawa T, Ohtomo K Building an integrated CAD development environment in clinical settings (the 7th report): Continuous performance improvement of CAD by multi-institutional collaboration
第73回日本医学放射線学会総会抄録集, pp.S443, 2014年4月
