Faculty Profiles - MORI, Kensaku

Papers - MORI, Kensaku

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Unsupervised 3D Super-resolution of Clinical CT Volumes by Utilizing Multi-axis 2D Super-resolution

第39回日本医用画像工学会大会予稿集 page： 377 - 384 2020.9

Preliminary Study on Classification of Hands' Bone Marrow Edema Using X-ray Images

Dongping Pan, Masahiro Oda, Kou Katayama, Takanobu Okubo, Kensaku Mori

page： 488 - 493 2020.9

大腸内視鏡のための教師なし深度画像推定法における補助タスク検討

伊東隼人, 小田昌宏, 森悠一, 三澤将史, 工藤進英, 堀田欣一, 高畠博嗣, 森雅樹, 名取博, 森健策

第39回日本医用画像工学会大会予稿集 page： 563 - 568 2020.9

Spatial Information Considered Self-Supervised Depth Estimation Based on Image Pairs from Stereo Laparoscope

Wenda Li, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori

page： 602 - 606 2020.9

泌尿器科画像診断に用いられるAI技術とその応用

森　健策

泌尿器外科 Vol. 33 ( 6 ) page： 557-561 2020.6

Detecting ganglion cells on virtual slide images: Macroscopic masking by superpixel Reviewed

H. Oda, Y. Tamada, K. Nishio, T. Kitasaka, H. Amano, K. Chiba, A. Hinoki, H. Uchida, M. Oda, K. Mori

International Journal of Computer Assisted Radiology and Surgery Vol. 15 ( 1 ) page： S169 - S170 2020.6

An Application of Multi-organ Segmentation from Thick-slice Abdominal CT Volumes using Transfer Learning Reviewed

C. Shen, M. Oda, H. Roth, H. Oda, Y. Hayashi, K. Misawa, K. Mori

International Journal of Computer Assisted Radiology and Surgery Vol. 15 ( 1 ) page： S17 - S18 2020.6

Virtual cleansing by unpaired image translation of intestines for detecting obstruction Reviewed

K. Nishio, H. Oda, T. Kitasaka, Y. Tamada, H. Amano, A. Takimoto, K. Chiba, Y. Hayashi, H. Itoh, M. Oda, A. Hinoki, H. Uchida, K. Mori

International Journal of Computer Assisted Radiology and Surgery Vol. 15 ( 1 ) page： S21 - S22 2020.6

TinyLoss: loss function for tiny image difference evaluation and its application to unpaired non-contrast to contrast abdominal CT estimation Reviewed

M. Oda, T. Hu, K. K. Kumamaru, T. Akashi, S. Aoki, K. Mori

International Journal of Computer Assisted Radiology and Surgery Vol. 15 ( 1 ) page： S25 - S26 2020.6

SR-CycleGAN V2: CycleGAN-based unsupervised superresolution with pixel-shuffling Reviewed

T. Zheng, H. Oda, T. Moriya, T. Sugino, S. Nakamura, M. Oda, M. Mori, H. Takabatake, H. Natori, K. Mori

International Journal of Computer Assisted Radiology and Surgery Vol. 15 ( 1 ) page： S27 - S28 2020.6

Blood vessel segmentation from laparoscopic video using ConvLSTM U-Net

S. Morimitsu, S. Yamamoto, T. Ozawa, T. Kitasaka, Y. Hayashi, M. Oda, M. Ito, N. Takeshita, K. Misawa, K. Mori

International Journal of Computer Assisted Radiology and Surgery Vol. 15 ( 1 ) page： S63 - S64 2020.6

Extraction of blood vessel regions in liver from CT volumes using fully convolutional networks for computer assisted liver surgery Reviewed

Y. Hayashi, C. Shen, T. Igami, M. Nagino, K. Mori

International Journal of Computer Assisted Radiology and Surgery Vol. 15 ( 1 ) page： S152 - S153 2020.6

AIによるSSA/Pの超拡大内視鏡診断 Invited Reviewed

小川悠史, 工藤進英, 森悠一, 三澤将史, 片岡伸一, 前田康晴, 一政克朗, 石垣智之, 工藤豊樹, 若村邦彦, 林武雅, 馬場俊之, 石田文生, 伊東隼人, 小田昌宏, 森健策

日本大腸検査学会雑誌 Vol. 36 ( 2 ) page： 125 - 125 2020.5

バーチャル・リアリティ手術シュミレーター（VRS）の意義と今後の展望

藤原道隆, 林雄一郎, 高見秀樹, 田中千恵, 森健策, 小寺泰弘

臨床外科 Vol. 75 ( 4 ) page： 476 - 482 2020.4

Cardiac fiber tracking on super high-resolution CT images: a comparative study. Invited International journal

Hirohisa Oda, Holger R Roth, Takaaki Sugino, Naoki Sunaguchi, Noriko Usami, Masahiro Oda, Daisuke Shimao, Shu Ichihara, Tetsuya Yuasa, Masami Ando, Toshiaki Akita, Yuji Narita, Kensaku Mori

Journal of medical imaging (Bellingham, Wash.) Vol. 7 ( 2 ) page： 026001 - 026001 2020.3

Language：Japanese Publishing type：Research paper (scientific journal)

Purpose: High-resolution cardiac imaging and fiber analysis methods are required to understand cardiac anatomy. Although refraction-contrast x-ray CT (RCT) has high soft tissue contrast, it cannot be commonly used because it requires a synchrotron system. Microfocus x-ray CT ( μ CT ) is another commercially available imaging modality. Approach: We evaluate the usefulness of μ CT for analyzing fibers by quantitatively and objectively comparing the results with RCT. To do so, we scanned a rabbit heart by both modalities with our original protocol of prepared materials and compared their image-based analysis results, including fiber orientation estimation and fiber tracking. Results: Fiber orientations estimated by two modalities were closely resembled under the correlation coefficient of 0.63. Tracked fibers from both modalities matched well the anatomical knowledge that fiber orientations are different inside and outside of the left ventricle. However, the μ CT volume caused incorrect tracking around the boundaries caused by stitching scanning. Conclusions: Our experimental results demonstrated that μ CT scanning can be used for cardiac fiber analysis, although further investigation is required in the differences of fiber analysis results on RCT and μ CT .

DOI： 10.1117/1.JMI.7.2.026001

3Dプリンティングの最新動向 Invited

森　健策

インナービジョン Vol. 35 ( 2 ) page： 36-37 2020.2

Spatial information-embedded fully convolutional networks for multi-organ segmentation with improved data augmentation and instance normalization Reviewed

Chen Shen, Chenglong Wang, Holger R. Roth, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori

Medical Imaging 2020: Image Processing Vol. 11313 2020.2

Organ segmentation from full-size CT images using memory-efficient FCN Reviewed

Chenglong Wang, Masahiro Oda, Kensaku Mori

Medical Imaging 2020: Image Processing Vol. 11314 2020.2

Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image database Reviewed

Tong Zheng, Hirohisa Oda, Takayasu Moriya, Takaaki Sugino, Shota Nakamura, Masahiro Oda, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Kensaku Mori

Medical Imaging 2020: Image Processing Vol. 11313 2020.2

Visualizing intestines for diagnostic assistance of ileus based on intestinal region segmentation from 3D CT images Reviewed

Hirohisa Oda, Kohei Nishio, Takayuki Kitasaka, Hizuru Amano, Aitaro Takimoto, Akinari Hinoki, Hiroo Uchida, Kojiro Suzuki, Hayato Itoh, Masahiro Oda, Kensaku Mori

Medical Imaging 2020: Image Processing Vol. 11314 2020.2

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Papers - MORI, Kensaku