IEICE Technical Report

Online edition: ISSN 2432-6380

Volume 121, Number 347

Medical Imaging

Workshop Date : 2022-01-25 - 2022-01-27 / Issue Date : 2022-01-18

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Table of contents

MI2021-42
Practical quantitative method of regional cerebral blood flow: diffusion imaging with phase-contrast (DIP)
Genki Nambu, Naoki Ohno, Tosiaki Miyati, Fumiki Sugita, Yuki Makino, Momoka Ikeda (Kanazawa Univ.), Noam Alperin (UM), Toshifumi Gabata, Satoshi Kobayashi (Kanazawa Univ.)
pp. 1 - 2

MI2021-43
Automatic evaluation of central facial palsy using video analysis
Naoki Ikezawa, Yoichi Yoshida, Satoru Kurihara, Nozomi Takahashi, Taka-aki Nakada, Hideki Haneishi (Chiba Univ.)
pp. 3 - 5

MI2021-44
Automatic Segmentation of Infant Brain Ventricles with Hydrocephalus in MRI Based on Deep Multi-path Learning
Jinbo Hikari, Yiwamoto Yutaro, Yen Wei Chen (Ritsumeikan Univ.), Nonaka Masahiro (Kansai Medical Univ.)
pp. 6 - 9

MI2021-45
Building of surgical support environment by surgical support analysis via high-speed network in brain tumor surgery
Asahi Nakamura, Ikuma Sato (FUN), Manabu Tamura, Tomoko Yamaguchi, Kaori Kusuda, Kitaro Yoshimitsu, Yoshihiro Muragaki, Ken Masamune (TWMU), Yuichi Fujino (FUN)
pp. 10 - 13

MI2021-46
(See Japanese page.)
pp. 14 - 15

MI2021-47
Exploiting Perfusion MR Features for Salivary Gland Tumor Classification
Keita Takeda, Misa Sumi, Tomoya Sakai (Nagasaki Univ.)
pp. 16 - 21

MI2021-48
Development of manipulation assistance for OMS drilling training simulator using VR devices in sagittal split ramus osteotomy
Shunichi Tanaka, Yoshiyuki Kagiyama, Norihiro Nakamura, Koichiro Ueki, Akinori Moroi (Univ. of Yamanashi), Yoshihiro Kuroda (Univ. of Tsukuba), Yasumi Ito, Yoshiyuki Noda (Univ. of Yamanashi), Shunsuke Yoshimoto (The Univ. of Tokyo), Osamu Oshiro (Osaka Univ.)
pp. 22 - 27

MI2021-49
Uveitis Lesion Detection Using Ultra-Wide Field Fluorescein Angiography Imaging Registration
Tomoki Wakitani (Univ. of Shiga Prefecture), Yuji Hatanaka (Oita Univ.), Hiroshi Keino (Kyorin Univ.), Wataru Sunayama (Univ. of Shiga Prefecture)
pp. 28 - 31

MI2021-50
OCT Image Analysis of Choroidal Structure in Patients with Retinitis Pigmentosa
Tin Tin Khaing, Takayuki Okamoto, Chen Ye, Gen Miura, Hirotaka Yokouchi (Chiba Univ.), Pakinee Aimmanee, Stanislav S. Makhanov (Thammasat Univ.), Hideaki Haneishi (Chiba Univ.)
pp. 32 - 36

MI2021-51
[Short Paper] Recognition of teeth and dental prostheses in dental panoramic radiographs using multi-label detection
Takumi Morishita (Gifu Univ.), Chisako Muramatsu (Shiga Univ.), Ryo Takahashi, Tatsuro Hayashi (media), Yuta Seino (Gifu Univ.), Wataru Nishiyama (Asahi Univ.), Xiangrong Zhou, Takeshi Hara (Gifu Univ.), Akitoshi Katsumata (Asahi Univ.), Hiroshi Fujita (Gifu Univ.)
pp. 37 - 38

MI2021-52
(See Japanese page.)
pp. 39 - 40

MI2021-53
[Short Paper] Abnormality Detection for Covid-19 Chest CT Images by Dimensionality Reduction Based on Contrastive Learning
Hiroki Tobise, Kugler Mauricio, Tatsuya Yokota (NITech), Masahiro Hashimoto (Keio Univ.), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo Univ.), Akinobu Shimizu (TUAT), Hidekata Hontani (NITech)
pp. 41 - 42

MI2021-54
(See Japanese page.)
pp. 43 - 44

MI2021-55
[Short Paper] Counting of alveoli in synchrotron radiation 3D CT images using U-Net
Keisuke Fukuda, Kurumi Saito, Yoshiki Kawata (Tokushima Univ.), Keiji Umetani (JASRI), Yasutaka Nakano (Shiga Med Univ), Hiroaki Sakai (AGMC), Toshihiro Okamoto (Cleveland Clinic), Noboru Niki (Medical Science Institute Inc.)
pp. 45 - 46

MI2021-56
[Short Paper] Mediastinal blood vessels segmentation of non-contrast CT images using 3D U-Net
Hidenobu Suzuki, Mikio Matsuhiro, Yoshiki Kawata (Tokushima Univ.), Toshihiko Sugiura, Nobuhiro Tanabe (Chiba Univ.), Yuji Matsumoto, Takaaki Tsuchida, Masahiko Kusumoto (National Cancer Center Hospital), Masahiro Kaneko (Tokyo Health Service Association), Noboru Niki (Medical Science Institute Inc.)
pp. 47 - 48

MI2021-57
Study on automatic generation of COVID-19 related radiology reports from chest CT images
Shinji Okazaki, Yuichiro Hayashi, Masahiro Oda (Nagoya Univ.), Masahiro Hashimoto, Masahiro Jinzaki (Keio Univ.), Toshiaki Akashi, Shigeki Aoki (Juntendo Univ.), Kensaku Mori (Nagoya Univ./NII)
pp. 49 - 54

MI2021-58
Investigation of post implementation training for medical image reading support systems
Chisako Muramatsu (Shiga Univ), Mizuho Nishio (Kobe Univ), Masahiro Yakami (Kyoto Univ), Takeshi Kubo (Tenri Hospital), Mikinao Ooiwa (Nagoya Medical Center), Hiroshi Fujita (Gifu Univ)
pp. 55 - 58

MI2021-59
Relationship between Image Quality and Learning Effect in Color Laparoscopic Images Generation by Generative Adversarial Networks
Norifumi Kawabata (Hokkaido Univ.), Toshiya Nakaguchi (Chiba Univ.)
pp. 59 - 64

MI2021-60
Analysis of renal volume using multiposture MRI during posture change
Koga Kawano, Tosiaki Miyati, Naoki Ohno, Seiya Nakagawa, Yuki Oda, Satoshi Kobayashi (Kanazawa Univ.)
pp. 65 - 66

MI2021-61
Analysis of renal function using multiposture MRI during posture change
Seiya Nakagawa, Tosiaki Miyati, Naoki Ohno, Yuki Oda, Koga Kawano, Satoshi Kobayashi (Kanazawa Univ.)
pp. 67 - 69

MI2021-62
Deep Learning based 2D/3D deformable Image Registration for Abdominal Organs
Ryuto Miura, Megumi Nakao, Mitsuhiro Nakamura, Tetsuya Matsuda (Kyoto Univ.)
pp. 70 - 75

MI2021-63
Analysis of Object Detection Model Towards Precise Colorectal-Polyp Detection
Hayato Itoh (Nagoya Univ.), Masashi Misawa (Showa Univ.), Yuichi Mori (Oslo Univ.), Shin-Ei Kudo (Showa Univ.), Masahiro Oda, Kensaku Mori (Nagoya Univ.)
pp. 76 - 81

MI2021-64
[Short Paper] Joint Learning for Multi-Phase CT Image Registration and Automatic Recognition of Anatomical Structures Based on a Deep Neural Network
Ryotaro Fuwa, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.)
pp. 82 - 85

MI2021-65
[Short Paper] Development of Online Annotation Tool Towards Large-Scale Laparoscopic Video Database
Hayato Itoh, Dongping Pan, Takuya Ozawa, Masahiro Oda (Nagoya Univ.), Nobuyoshi Takeshita, Masaaki Ito (NCC East), Kensaku Mori (Nagoya Univ.)
pp. 86 - 87

MI2021-66
[Special Talk] TBA
Ryoma Bise (Kyushu Univ.)
p. 88

MI2021-67
Report on MICCAI 2021
Hayato Itoh, Masahiro Oda, Chen Shen (Nagoya Univ.), Yoshito Otake (NAIST), Shouhei Hanaoka (Tokyo Univ.), Ken'ichi Morooka (Okayama Univ.), Hidekata Hontani (NITech), Ryo Furukawa, Yoshitaka Masutani (Hiroshima City Univ.), Kensaku Mori (Nagoya Univ.)
pp. 89 - 99

MI2021-68
The importance of introducing 3D data analysis in the diagnosis of fragility pelvic fractures
Naoto Yamamoto, Fujita Daisuke, Rahman MD Rashedur (Hyogo Univ.), Naomi Yagi (Himeji Dokkyo Univ.), Keigo Hayashi, Akihiro Maruo, Hirotsugu Muratsu (Steel Memorial Hirohata Hospital), Shoji Kobashi (Hyogo Univ.)
pp. 100 - 103

MI2021-69
Support system for osteoporosis CT screening using 3D U-NET
Yuta Miyazaki, Kazuki Miyake, Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata (Tokushima Univ), Yuji Matsumoto, Takaaki Tsutida, Masahiko Kusumoto (National Cancer Center Central Hospital), Masahiro Kaneko (Tokyo Metropolitan Association of Preventive Medicine), Noboru Niki (Institute of Medical Science, Inc.)
pp. 104 - 105

MI2021-70
Segmentation of musculoskeletal structures in supine and upright CTs towards quantitative analysis of musculoskeletal deformation in standing position
Tomoki Hakotani, Yoshito Otake, Mazen Soufi (NAIST), Masahiro Hashimoto, Yoshitake Yamada, Minoru Yamada, Yoichi Yokoyama (Keio Univ.), Keisuke Uemura, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Masahiro Jinzaki (Keio Univ.), Yoshinobu Sato (NAIST)
pp. 106 - 110

MI2021-71
Disease progression modeling of hip osteoarthrosis based on musculoskeletal CT segmentation
Ganping Li, Mazen Soufi, Yoshito Otake (NAIST), Keisuke Uemura, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST)
pp. 111 - 116

MI2021-72
Patient-specific musculoskeletal simulation using an elastic volume simulator VIPER and medical image-based modeling
Junya Ino, Yoshito Otake, Mazen Soufi (NAIST), Keisuke Uemura, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST)
pp. 117 - 120

MI2021-73
Test-time Geometric Normalization to Cope With Foot Posture Variation in Musculoskeletal Segmentation from CT Images
Ito Naoki, Mazen Soufi, Yoshito Otake (NAIST), Takuma Miyamoto, Yasuhito Tanaka (Nara Med. Univ.), Keisuke Uemura, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST)
pp. 121 - 126

MI2021-74
[Fellow Memorial Lecture] [IEICE Fellow Special Lecture] Human anatomical structure analysis by medical image processing and its application to diagnostic and therapeutic procedures assistance -- Look back 30 years of research experiences and predict future --
Kensaku Mori (Nagoya Univ.)
pp. 127 - 132

MI2021-75
Introduction of IHC calibrator for standardization of HER2 assessment based on image analysis
Chie Ohnishi (Tokyo Tech), Steven A. Bogen (BCS), Masahiro Yamaguchi (Tokyo Tech), Yukako Yagi (MSKCC)
pp. 133 - 134

MI2021-76
Study of Automatic Diagnosis of Early Oral Cancers Based on Fluorescence Images by 5-ALA and Deep Learning -- Automatic Generation of Fluorescence Images Using GAN and Classification of Stages by CNN --
Taro Fujimoto (Waseda Univ.), Eiji Fukuzawa (Waseda Univ./Yazaki), Seiko Tatehara, Kazuhito Satomura (Tsurumi Univ.), Jun Ohya (Waseda Univ.)
pp. 135 - 140

MI2021-77
Immunohistochemical Reaction Image Analysis of Endometrial Carcinoma of the Uterine Corpus
Rina Hiratsuka (Chiba Univ.), Fumikazu Kimura, Kengo Ohshima (Shinshu Univ.), Hideaki Haneishi (Chiba Univ.)
pp. 141 - 143

MI2021-78
[Short Paper] Case-based Similar Image Retrieval for Pathological Images of Malignant Lymphoma Using Deep Metric Learning
Noriaki Hashimoto (RIKEN), Yusuke Takagi, Hiroki Masuda (NITech), Hiroaki Miyoshi, Kei Kohno, Miharu Nagaishi, Kensaku Sato, Koichi Ohshima (Kurume Univ.), Hidekata Hontani (NITech), Ichiro Takeuchi (NITech/RIKEN)
pp. 144 - 145

MI2021-79
Multimodal Image Analysis of Skin Flap Necrosis Using a Model Rat
Riku Eto, Yoko Kurabuchi, Shinsuke Akita, Nobuyuki Mitsukawa, Hideaki Haneishi (Chiba Univ)
pp. 146 - 149

MI2021-80
Reducing the number of projections in 3-D Compton Camera using EM-TV based image reconstruction
Tomohiro Ono (Hirosaki Univ.), Yuto Nagao, Mitsutaka Yamaguchi, Naoki Kawachi (QST), Tsutomu Zeniya (Hirosaki Univ.)
pp. 150 - 155

MI2021-81
Reconstruction of electrical conductivity and permittivity in human bodies using MRI -- Estimation of boundary electric fields based on boundary element methods --
Toko Nakai, Naohiro Eda, Hiroki Miyazako, Keisuke Hasegawa, Takaaki Nara (Univ. of Tokyo)
pp. 156 - 161

MI2021-82
Reconstruction of electrical conductivity in human bodies based on phase measurement of high frequency magnetic field using MRI
Kenshiro Maeda, Naohiro Eda, Hiroki Miyazako, Keisuke Hasegawa, Takaaki Nara (Univ. of Tokyo)
pp. 162 - 167

MI2021-83
Study on Decomposition of Deformation in Embryonic Development using Graph Fourier Transform
Tomoki Matsuyama, Takuya Funatomi (NAIST), Natsuko Utsunomiya, Shigehito Yamada (Kyoto), Yuki Fujimura, Takahiro Kushida, Yasuhiro Mukaigawa (NAIST)
pp. 168 - 173

MI2021-84
Investigation on Blood Vessels Segmentation from Images of Mouse's Cranial Window Based on Deep Learning
Yunheng Wu, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Takanori Takebe (TMDU), Kensaku Mori (Nagoya Univ.)
pp. 174 - 179

MI2021-85
Marker-less and calibration-less motion correction method for brain dedicated PET
Yuma Iwao, Go Akamatsu, Hideaki Tashima, Miwako Takahashi, Taiga Yamaya (QST)
pp. 180 - 183

MI2021-86
(See Japanese page.)
pp. 184 - 185

MI2021-87
[Short Paper] utomatic Extraction of Regions of Vascular Lesions Including Diffuse Lesions in MR Images Using Weakly Supervised Deep Learning
Koki Fukaya, Takeshi Hara (Gifu Univ.), Taiki Nozaki, Masaki Matsusako (St.Luke's International Hosp.), Tetsuro Katafuchi (Gifu Medical Univ.), Xiangrong Zhou, Hiroshi Fujita (Gifu Univ.)
pp. 186 - 187

MI2021-88
(See Japanese page.)
pp. 188 - 189

MI2021-89
[Short Paper] Multiple Organ Detection from CT Images Based on Deep Learning -- Fusion of 2D-CNN and Transformer --
Daiki Kanoh, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.)
pp. 190 - 193

Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan