Prof. Yuichiro Hayashi Profile

Prof. Yuichiro Hayashi

at Nagoya Univ

SPIE Involvement:

Author

Publications (57)

Proceedings Article | 3 April 2024 Poster + Paper

Performance improvement for medical image classification model by using gradient-based analytical feature selection

Ryo Toda, Hayato Itoh, Masahiro Oda, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori

Proceedings Volume 12927, 129272C (2024) https://doi.org/10.1117/12.3006620

KEYWORDS: Visualization, Visual process modeling, Feature selection, Image classification, COVID 19, Data modeling, Medical imaging, Image analysis

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Proceedings Article | 2 April 2024 Presentation + Paper

Intestine segmentation from CT volume based on bidirectional teaching

Qin An, Hirohisa Oda, Yuichiro Hayashi, Takayuki Kitasaka, Akinari Hinoki, Hiroo Uchida, Kojiro Suzuki, Aitaro Takimoto, Masahiro Oda, Kensaku Mori

Proceedings Volume 12926, 129260Z (2024) https://doi.org/10.1117/12.3006623

KEYWORDS: Intestine, Image segmentation, Education and training, Convolution, Voxels, Plutonium, Semantics, Computed tomography, Medical imaging, Information science

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Proceedings Article | 2 April 2024 Presentation + Paper

Continual pretraining for enhanced multi-organ segmentation from CT images

Yaqi Yang, Chen Shen, Yucheng Tang, Holger Roth, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori

Proceedings Volume 12926, 129260K (2024) https://doi.org/10.1117/12.3006630

KEYWORDS: Image segmentation, Data modeling, Computed tomography, Gallbladder, Kidney, Veins, Stomach, Transformers, Spleen

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Proceedings Article | 2 April 2024 Presentation + Paper

Anatomical structure-constrained thrombus region segmentation and measurement using confocal laser scanning microscopic images

Cheng Wang, Yuichiro Hayashi, Masahiro Oda, Yunheng Wu, Shuntaro Kawamura, Takanori Takebe, Kensaku Mori

Proceedings Volume 12930, 129300H (2024) https://doi.org/10.1117/12.3006862

KEYWORDS: Image segmentation, Blood vessels, Anatomy, Laser scanners, Confocal microscopy, Microscopes, Image processing, Fourier transforms, Blood, Visualization

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Proceedings Article | 29 March 2024 Poster + Paper

Adaptive octree cube refinement depending on grasping position for deformable organ models

Rintaro Miyazaki, Yuichiro Hayashi, Masahiro Oda, Kensaku Mori

Proceedings Volume 12928, 1292826 (2024) https://doi.org/10.1117/12.3006816

KEYWORDS: Deformation, Computer simulations, Gallbladder, Virtual reality, Laparoscopy, Device simulation, Tissues, Surgery

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Proceedings Article | 10 April 2023 Presentation + Paper

Thrombosis region extraction and quantitative analysis in confocal laser scanning microscopic image sequence in in-vivo imaging

Yunheng Wu, Masahiro Oda, Yuichiro Hayashi, Shuntaro Kawamura, Takanori Takebe, Kensaku Mori

Proceedings Volume 12468, 124680F (2023) https://doi.org/10.1117/12.2654632

KEYWORDS: Blood circulation, Quantitative analysis, In vivo imaging, Analytical research, Image visualization, Biological research, Biological imaging, Animal model studies, Visualization, Laser scanners

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Proceedings Article | 7 April 2023 Poster + Paper

Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-mixer

Masahiro Oda, Tong Zheng, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori

Proceedings Volume 12465, 1246534 (2023) https://doi.org/10.1117/12.2654706

KEYWORDS: 3D modeling, 3D image processing, COVID 19, Image classification, Chest, Computed tomography, Lung

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Proceedings Article | 7 April 2023 Presentation + Paper

Improved method for COVID-19 classification of complex-architecture CNN from chest CT volumes using orthogonal ensemble networks

Ryo Toda, Masahiro Oda, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori

Proceedings Volume 12465, 124650D (2023) https://doi.org/10.1117/12.2653792

KEYWORDS: COVID 19, Computed tomography, Machine learning, Education and training, Chest, Feature extraction, Lung, Computer aided detection

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Proceedings Article | 3 April 2023 Presentation + Paper

A semantic segmentation method for laparoscopic images using semantically similar groups

Leo Uramoto, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori

Proceedings Volume 12466, 1246605 (2023) https://doi.org/10.1117/12.2654636

KEYWORDS: Image segmentation, Semantics, Laparoscopy, Machine learning, Surgery, Medical image processing

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Proceedings Article | 3 April 2023 Presentation + Paper

Real bronchoscopic images-based bronchial nomenclature: a preliminary study

Cheng Wang, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Hirotsugu Takabatake, Masaki Mori, Hirotoshi Honma, Hiroshi Natori, Kensaku Mori

Proceedings Volume 12466, 1246603 (2023) https://doi.org/10.1117/12.2654508

KEYWORDS: Cameras, Motion estimation, Computed tomography, Anatomy, Nomenclature, Navigation systems, Bronchoscopy, Feature extraction, Volume rendering, Visualization

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Proceedings Article | 3 April 2023 Paper

Surgical area recognition from laparoscopic images in laparoscopic gastrectomy for gastric cancer using label smoothing and uncertainty

Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori

Proceedings Volume 12466, 1246624 (2023) https://doi.org/10.1117/12.2654775

KEYWORDS: Laparoscopy, Surgery, Image classification, Video, Cancer, Blood vessels, Neural networks, Stomach

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Proceedings Article | 3 April 2023 Poster + Paper

Octree cube constraints in PBD method for high resolution surgical simulation

Rintaro Miyazaki, Yuichiro Hayashi, Masahiro Oda, Kensaku Mori

Proceedings Volume 12464, 124642N (2023) https://doi.org/10.1117/12.2654092

KEYWORDS: Deformation, Liver, Computer simulations, Surgery, Laparoscopy, 3D modeling, Virtual reality, Tissues

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Proceedings Article | 3 April 2023 Presentation + Paper

L-former: a lightweight transformer for realistic medical image generation and its application to super-resolution

Tong Zheng, Hirohisa Oda, Yuichiro Hayashi, Shota Nakamura, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Masahiro Oda, Kensaku Mori

Proceedings Volume 12464, 1246415 (2023) https://doi.org/10.1117/12.2653776

KEYWORDS: Transformers, Medical imaging, Super resolution, Education and training, Wavelets, Voxels, Gallium nitride, Discrete wavelet transforms, Biomedical applications, Convolution

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SPIE Journal Paper | 5 April 2022 Open Access

SR-CycleGAN: super-resolution of clinical CT to micro-CT level with multi-modality super-resolution loss

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

JMI, Vol. 9, Issue 02, 024003, (April 2022) https://doi.org/10.1117/12.10.1117/1.JMI.9.2.024003

KEYWORDS: Computed tomography, Lawrencium, X-ray computed tomography, Lung, Super resolution, Lung cancer, Convolution, Image segmentation, Image resolution, Gallium nitride

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Purpose: We propose a super-resolution (SR) method, named SR-CycleGAN, for SR of clinical computed tomography (CT) images to the micro-focus x-ray CT CT (μCT) level. Due to the resolution limitations of clinical CT (about 500 × 500 × 500 μm3 / voxel), it is challenging to obtain enough pathological information. On the other hand, μCT scanning allows the imaging of lung specimens with significantly higher resolution (about 50 × 50 × 50 μm3 / voxel or higher), which allows us to obtain and analyze detailed anatomical information. As a way to obtain detailed information such as cancer invasion and bronchioles from preoperative clinical CT images of lung cancer patients, the SR of clinical CT images to the μCT level is desired. Approach: Typical SR methods require aligned pairs of low-resolution (LR) and high-resolution images for training, but it is infeasible to obtain precisely aligned paired clinical CT and μCT images. To solve this problem, we propose an unpaired SR approach that can perform SR on clinical CT to the μCT level. We modify a conventional image-to-image translation network named CycleGAN to an inter-modality translation network named SR-CycleGAN. The modifications consist of three parts: (1) an innovative loss function named multi-modality super-resolution loss, (2) optimized SR network structures for enlarging the input LR image to k2-times by width and height to obtain the SR output, and (3) sub-pixel shuffling layers for reducing computing time. Results: Experimental results demonstrated that our method successfully performed SR of lung clinical CT images. SSIM and PSNR scores of our method were 0.54 and 17.71, higher than the conventional CycleGAN’s scores of 0.05 and 13.64, respectively. Conclusions: The proposed SR-CycleGAN is usable for the SR of a lung clinical CT into μCT scale, while conventional CycleGAN output images with low qualitative and quantitative values. More lung micro-anatomy information could be observed to aid diagnosis, such as the shape of bronchioles walls.

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Proceedings Article | 4 April 2022 Presentation + Paper

Effective hyperparameter optimization with proxy data for multi-organ segmentation

Chen Shen, Holger Roth, Vishwesh Nath, Yuichiro Hayashi, Masahiro Oda, Kazunari Misawa, Kensaku Mori

Proceedings Volume 12032, 120320T (2022) https://doi.org/10.1117/12.2611422

KEYWORDS: Image segmentation, Data modeling, Network architectures, Convolution, Stomach, Spleen, Medical imaging, Computer aided design, Performance modeling, Optimization (mathematics)

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Proceedings Article | 4 April 2022 Presentation + Paper

Automated classification method of COVID-19 cases from chest CT volumes using 2D and 3D hybrid CNN for anisotropic volumes

Masahiro Oda, Tong Zheng, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori

Proceedings Volume 12033, 1203309 (2022) https://doi.org/10.1117/12.2613317

KEYWORDS: Feature extraction, Chest, Computed tomography, Lung, Convolution, 3D image processing, Image processing, Image classification, CAD systems

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Proceedings Article | 4 April 2022 Presentation + Paper

Coarse-to-fine cascade framework for cross-modality super-resolution on clinical/micro CT dataset

Tong Zheng, Hirohisa Oda, Yuichiro Hayashi, Shota Nakamura, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Masahiro Oda, Kensaku Mori

Proceedings Volume 12032, 120321T (2022) https://doi.org/10.1117/12.2611311

KEYWORDS: Computed tomography, Lawrencium, Medical imaging, Lung, Image registration, Super resolution, Computer programming, Feature extraction, Scanners, Lutetium

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Proceedings Article | 4 April 2022 Poster + Presentation + Paper

Multi-class prediction for improving intestine segmentation on non-fecal-tagged CT volume

Hirohisa Oda, Yuichiro Hayashi, Takayuki Kitasaka, Aitaro Takimoto, Akinari Hinoki, Hiroo Uchida, Kojiro Suzuki, Masahiro Oda, Kensaku Mori

Proceedings Volume 12033, 120331J (2022) https://doi.org/10.1117/12.2611441

KEYWORDS: Intestine, Image segmentation, Computer aided diagnosis and therapy, Liquids, Computed tomography, Computer-aided diagnosis, Machine learning

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Proceedings Article | 4 April 2022 Presentation + Paper

Spatial label smoothing via aleatoric uncertainty for bleeding region segmentation from laparoscopic videos

Jie Qiu, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Nobuyoshi Takeshita, Masaaki Ito, Kensaku Mori

Proceedings Volume 12032, 120320U (2022) https://doi.org/10.1117/12.2611672

KEYWORDS: Image segmentation, Laparoscopy, Image processing, Neural networks, Medical imaging

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Proceedings Article | 4 April 2022 Presentation + Paper

Bronchial orifice tracking-based branch level estimation for bronchoscopic navigation

Cheng Wang, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Hitotsugu Takabatake, Masaki Mori, Hirotoshi Honma, Hiroshi Natori, Kensaku Mori

Proceedings Volume 12034, 120340C (2022) https://doi.org/10.1117/12.2612827

KEYWORDS: Cameras, In vivo imaging, Navigation systems, Video, Computed tomography, Motion estimation, Image segmentation, 3D metrology, 3D image processing, Medicine

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Proceedings Article | 4 April 2022 Poster + Presentation + Paper

Self-supervised depth estimation with uncertainty-weight joint loss function based on laparoscopic videos

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

Proceedings Volume 12034, 120342V (2022) https://doi.org/10.1117/12.2612829

KEYWORDS: Laparoscopy, Video, RGB color model, Computer programming, Lithium, Surgery, Information science, Image processing, Image analysis, Error analysis

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Proceedings Article | 20 April 2021 Paper

Unpaired medical image translation between portal-venous phase and non-contrast CT volumes for multi-organ segmentation

Chen Shen, Yuichiro Hayashi, Masahiro Oda, Kazunari Misawa, Kensaku Mori

Proceedings Volume 11792, 117920Q (2021) https://doi.org/10.1117/12.2590639

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Extraction of lung and lesion regions from COVID-19 CT volumes using 3D fully convolutional networks

Yuichiro Hayashi, Masahiro Oda, Chen Shen, Masahiro Hashimoto, Yoshito Otake, Toshiaki Akashi, Kensaku Mori

Proceedings Volume 11597, 115972A (2021) https://doi.org/10.1117/12.2581818

KEYWORDS: Lung, 3D modeling, Computed tomography, CAD systems, Medical imaging, Solid modeling, Image segmentation, Data modeling, Computer aided diagnosis and therapy

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Lung infection and normal region segmentation from CT volumes of COVID-19 cases

Masahiro Oda, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Kensaku Mori

Proceedings Volume 11597, 115972X (2021) https://doi.org/10.1117/12.2582066

KEYWORDS: Lung, Image segmentation, Computing systems, Quantitative analysis, Diagnostics, Chest

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Proceedings Article | 15 February 2021 Presentation + Paper

Bronchial orifice segmentation on bronchoscopic video frames based on generative adversarial depth estimation

Cheng Wang, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori

Proceedings Volume 11598, 115980N (2021) https://doi.org/10.1117/12.2582341

KEYWORDS: Video, Bronchoscopy, Image segmentation

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Proceedings Article | 15 February 2021 Presentation + Paper

Context encoder guided self-supervised siamese depth estimation based on stereo laparoscopic images

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

Proceedings Volume 11598, 115980C (2021) https://doi.org/10.1117/12.2582348

KEYWORDS: Computer programming, Laparoscopy, Surgery, Convolution, Robotics, Robotic systems, Image restoration, Image analysis

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Extremely imbalanced subarachnoid hemorrhage detection based on DenseNet-LSTM network with class-balanced loss and transfer learning

Zhongyang Lu, Masahiro Oda, Yuichiro Hayashi, Tao Hu, Hayato Itoh, Takeyuki Watadani, Osamu Abe, Masahiro Hashimoto, Masahiro Jinzaki, Kensaku Mori

Proceedings Volume 11597, 115971Z (2021) https://doi.org/10.1117/12.2582088

KEYWORDS: Data modeling, Performance modeling, Computed tomography

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Unsupervised segmentation of COVID-19 infected lung clinical CT volumes using image inpainting and representation learning

Tong Zheng, Masahiro Oda, Chenglong Wang, Takayasu Moriya, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Kensaku Mori

Proceedings Volume 11596, 115963F (2021) https://doi.org/10.1117/12.2580641

KEYWORDS: Image segmentation, Computed tomography, Chest, Arteries, Spherical lenses, Lung, Tissues, Opacity, Glasses

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Proceedings Article | 15 February 2021 Presentation + Paper

Intestinal region reconstruction of ileus cases from 3D CT images based on graphical representation and its visualization

Hirohisa Oda, Yuichiro Hayashi, Takayuki Kitasaka, Yudai Tamada, Aitaro Takimoto, Akinari Hinoki, Hiroo Uchida, Kojiro Suzuki, Hayato Itoh, Masahiro Oda, Kensaku Mori

Proceedings Volume 11597, 115971N (2021) https://doi.org/10.1117/12.2581261

KEYWORDS: Intestine, Computer aided diagnosis and therapy, Visualization, Image segmentation, Computing systems

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Proceedings Article | 16 March 2020 Paper

Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training dataset

Yuichiro Hayashi, Chen Shen, Holger Roth, Masahiro Oda, Kazunari Misawa, Masahiro Jinzaki, Masahiro Hashimoto, Kanako Kumamaru, Shigeki Aoki, Kensaku Mori

Proceedings Volume 11314, 113143V (2020) https://doi.org/10.1117/12.2551022

KEYWORDS: 3D modeling, Image segmentation, Computed tomography, Stomach, Data modeling, Medical imaging, Arteries, Veins, Liver

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Proceedings Article | 16 March 2020 Presentation + Paper

Improved visual SLAM for bronchoscope tracking and registration with pre-operative CT images

Cheng Wang, Masahiro Oda, Yuichiro Hayashi, Takayuki Kitasaka, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori

Proceedings Volume 11315, 1131518 (2020) https://doi.org/10.1117/12.2549949

KEYWORDS: Visualization, Computed tomography, Optical tracking, Cameras, Image registration, Bronchoscopy, Navigation systems, Video, Image segmentation, Information science

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Proceedings Article | 10 March 2020 Presentation + Paper

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

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

Proceedings Volume 11313, 1131316 (2020) https://doi.org/10.1117/12.2550496

KEYWORDS: Image segmentation, Medical imaging, Pancreas, Computed tomography, Data corrections, Tissues, Veins, Gallbladder, 3D image processing, Network architectures

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Proceedings Article | 27 March 2019 Paper

Investigation of extracting interlobular septa with Hessian analysis and radial structure tensor combined with roundness error in micro-CT volume

Xiaotian Zhao, Hirohisa Oda, Shota Nakamura, Yuichiro Hayashi, Hayato Itoh, Masahiro Oda, Kensaku Mori

Proceedings Volume 11050, 110501E (2019) https://doi.org/10.1117/12.2521646

KEYWORDS: Lung, Error analysis, Tissues, Lung cancer, Visualization, Blood vessels, Information science, Binary data, Nondestructive evaluation, Computed tomography

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Proceedings Article | 22 March 2019 Paper

Automated hand eye calibration in laparoscope holding robot for robot assisted surgery

Jiang Shuai, Yuichiro Hayashi, Cheng Wang, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori

Proceedings Volume 11049, 1104949 (2019) https://doi.org/10.1117/12.2521618

KEYWORDS: Laparoscopy, Calibration, Eye, Cameras, Imaging systems, Surgery, Robotic systems, Robotics, Matrices, Information science

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Proceedings Article | 15 March 2019 Presentation + Paper

Improving V-Nets for multi-class abdominal organ segmentation

Chen Shen, Fausto Milletari, Holger Roth, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori

Proceedings Volume 10949, 109490B (2019) https://doi.org/10.1117/12.2512790

KEYWORDS: Image segmentation, 3D image processing, Data modeling, Medical imaging, Computed tomography, Image processing, Arteries, Veins, 3D modeling, Network architectures

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Proceedings Article | 13 March 2019 Presentation + Paper

Weakly-supervised deep learning of interstitial lung disease types on CT images

Chenglong Wang, Takayasu Moriya, Yuichiro Hayashi, Holger Roth, Le Lu, Masahiro Oda, Hirotugu Ohkubo, Kensaku Mori

Proceedings Volume 10950, 109501H (2019) https://doi.org/10.1117/12.2512746

KEYWORDS: Lung, Computed tomography, Image segmentation, Image classification, Spherical lenses, Convolutional neural networks, Computer aided diagnosis and therapy, Neural networks, Feature extraction, Machine learning

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Proceedings Article | 8 March 2019 Presentation + Paper

Visual SLAM for bronchoscope tracking and bronchus reconstruction in bronchoscopic navigation

Cheng Wang, Masahiro Oda, Yuichiro Hayashi, Takayuki Kitasaka, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori

Proceedings Volume 10951, 109510A (2019) https://doi.org/10.1117/12.2512766

KEYWORDS: Cameras, Computed tomography, Image segmentation, Clouds, Navigation systems, Sensors, Video, Visualization, Optical tracking, In vivo imaging

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Proceedings Article | 20 March 2018 Paper

Develop and validate a finite element method model for deformation matching of laparoscopic gastrectomy navigation

Tao Chen, Guodong Wei, Weili Shi, Yuichiro Hayashi, Masahiro Oda, Zhengang Jiang, Guoxin Li, Kensaku Mori

Proceedings Volume 10576, 105761Y (2018) https://doi.org/10.1117/12.2293288

KEYWORDS: Finite element methods, Laparoscopy, Animal model studies, Computed tomography, Arteries, Surgery, 3D modeling, Navigation systems, Systems modeling, Image segmentation

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Proceedings Article | 2 March 2018 Presentation + Paper

Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks

Holger Roth, Masahiro Oda, Natsuki Shimizu, Hirohisa Oda, Yuichiro Hayashi, Takayuki Kitasaka, Michitaka Fujiwara, Kazunari Misawa, Kensaku Mori

Proceedings Volume 10574, 105740B (2018) https://doi.org/10.1117/12.2293499

KEYWORDS: Machine learning, Pancreas, Image segmentation, 3D image processing, Computed tomography, Image processing, 3D modeling, Network architectures, Convolution, Data modeling, Information science

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Proceedings Article | 24 March 2016 Paper

Automated torso organ segmentation from 3D CT images using conditional random field

Yukitaka Nimura, Yuichiro Hayashi, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori

Proceedings Volume 9785, 97853M (2016) https://doi.org/10.1117/12.2214845

KEYWORDS: Image segmentation, Machine learning, 3D image processing, Spleen, Error analysis, Heart, Liver

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SPIE Journal Paper | 17 December 2015

Pneumoperitoneum simulation based on mass-spring-damper models for laparoscopic surgical planning

Yukitaka Nimura, Jia Di Qu, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Makoto Hashizume, Kazunari Misawa, Kensaku Mori

JMI, Vol. 2, Issue 04, 044004, (December 2015) https://doi.org/10.1117/12.10.1117/1.JMI.2.4.044004

KEYWORDS: Tissues, Laparoscopy, Surgery, Error analysis, Image segmentation, Carbon monoxide, Motion models, Image processing, Computed tomography, Visualization

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Proceedings Article | 8 May 2015 Paper

Automated branching pattern report generation for laparoscopic surgery assistance

Masahiro Oda, Tetsuro Matsuzaki, Yuichiro Hayashi, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori

Proceedings Volume 9414, 94141T (2015) https://doi.org/10.1117/12.2082488

KEYWORDS: Blood vessels, Arteries, Surgery, Diagnostics, Adaptive optics, Veins, Laparoscopy, Photovoltaics, Stomach, Cameras

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Proceedings Article | 20 March 2015 Paper

Pancreas segmentation from 3D abdominal CT images using patient-specific weighted subspatial probabilistic atlases

Kenichi Karasawa, Masahiro Oda, Yuichiro Hayashi, Yukitaka Nimura, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, Kensaku Mori

Proceedings Volume 9413, 94131A (2015) https://doi.org/10.1117/12.2081756

KEYWORDS: Pancreas, Image segmentation, Liver, 3D image processing, Computed tomography, Surgery, Gold, Image registration, Computer aided diagnosis and therapy, Computing systems

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Proceedings Article | 20 March 2015 Paper

Automated torso organ segmentation from 3D CT images using structured perceptron and dual decomposition

Yukitaka Nimura, Yuichiro Hayashi, Takayuki Kitasaka, Kensaku Mori

Proceedings Volume 9414, 94143L (2015) https://doi.org/10.1117/12.2081774

KEYWORDS: Image segmentation, Computed tomography, Lung, Kidney, Binary data, Pancreas, Gallbladder, Heart, Liver, Spleen

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Proceedings Article | 18 March 2015 Paper

Development and clinical application of surgical navigation system for laparoscopic hepatectomy

Yuichiro Hayashi, Tsuyoshi Igami, Tomoaki Hirose, Masato Nagino, Kensaku Mori

Proceedings Volume 9415, 94151X (2015) https://doi.org/10.1117/12.2082690

KEYWORDS: Laparoscopy, Navigation systems, Computed tomography, Surgery, Skin, Image registration, Liver, 3D image processing, Electromagnetism, Veins

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Proceedings Article | 24 March 2014 Paper

Automated abdominal lymph node segmentation based on RST analysis and SVM

Yukitaka Nimura, Yuichiro Hayashi, Takayuki Kitasaka, Kazuhiro Furukawa, Kazunari Misawa, Kensaku Mori

Proceedings Volume 9035, 90352U (2014) https://doi.org/10.1117/12.2043349

KEYWORDS: Computed tomography, Lymphatic system, Cancer, Opacity, Analytical research, Information science, Shape analysis, Medicine, Medical imaging, Computer aided diagnosis and therapy

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Proceedings Article | 21 March 2014 Paper

Development of automated extraction method of biliary tract from abdominal CT volumes based on local intensity structure analysis

Kusuto Koga, Yuichiro Hayashi, Tomoaki Hirose, Masahiro Oda, Takayuki Kitasaka, Tsuyoshi Igami, Masato Nagino, Kensaku Mori

Proceedings Volume 9034, 903448 (2014) https://doi.org/10.1117/12.2043347

KEYWORDS: Image processing, Computed tomography, Surgery, Linear filtering, Liver, Image segmentation, Tissues, Digital filtering, Computing systems, Medical imaging

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Proceedings Article | 13 March 2013 Paper

A method for automated anatomical labeling of abdominal veins extracted from 3D CT images

Tetsuro Matsuzaki, Masahiro Oda, Takayuki Kitasaka, Yuichiro Hayashi, Kazunaru Misawa, Kensaku Mori

Proceedings Volume 8669, 86691Y (2013) https://doi.org/10.1117/12.2006745

KEYWORDS: Veins, Photovoltaics, Blood vessels, Machine learning, Surgery, Computed tomography, 3D image processing, Computing systems, Rule based systems, Arteries

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Proceedings Article | 13 March 2013 Paper

Multi-organ segmentation from 3D abdominal CT images using patient-specific weighted-probabilistic atlas

Chengwen Chu, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Yuichiro Hayashi, Robin Wolz, Daniel Rueckert, Kensaku Mori

Proceedings Volume 8669, 86693Y (2013) https://doi.org/10.1117/12.2007601

KEYWORDS: Image segmentation, Pancreas, Liver, Databases, Kidney, Image processing, Spleen, Computed tomography, Expectation maximization algorithms, 3D image processing

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Proceedings Article | 3 March 2010 Paper

A rapid method for compensating registration error between tracker and endoscope in flexible neuroendoscopic surgery navigation system

Zhengang Jiang, Yukitaka Nimura, Takayuki Kitasaka, Yuichiro Hayashi, Eiji Ito, Masazumi Fujii, Tetsuya Nagatani, Yasukazu Kajita, Toshiko Wakabayashi, Kensaku Mori

Proceedings Volume 7625, 762521 (2010) https://doi.org/10.1117/12.844577

KEYWORDS: Endoscopes, Error analysis, Sensors, Surgery, Cameras, Endoscopy, Navigation systems, Image registration, Imaging systems, Electromagnetism

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Proceedings Article | 13 March 2009 Paper

An improved method for compensating ultra-tiny electromagnetic tracker utilizing position and orientation information and its application to a flexible neuroendoscopic surgery navigation system

Zhengang Jiang, Kensaku Mori, Yukitaka Nimura, Marco Feuerstein, Takayuki Kitasaka, Yasuhito Suenaga, Yuichiro Hayashi, Eiji Ito, Masazumi Fujii, Tetsuya Nagatani, Yasukazu Kajita, Toshiko Wakabayashi, Jun Yoshida

Proceedings Volume 7261, 72612T (2009) https://doi.org/10.1117/12.813672

KEYWORDS: Navigation systems, Electromagnetism, Surgery, Imaging systems, Cameras, Sensors, Chlorine, Visualization, Visual process modeling, Current controlled current source

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Proceedings Article | 12 March 2008 Paper

Extraction of teniae coli from CT volumes for assisting virtual colonoscopy

Yuuki Umemoto, Masahiro Oda, Takayuki Kitasaka, Kensaku Mori, Yuichiro Hayashi, Yasuhito Suenaga, Tetsuji Takayama, Hiroshi Natori

Proceedings Volume 6916, 69160D (2008) https://doi.org/10.1117/12.773105

KEYWORDS: Virtual colonoscopy, Colon, Medical imaging, Physiology, Rectum, Diagnostics

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Proceedings Article | 13 March 2006 Paper

A method for generating virtual unfolded view of colon using spring model

Masahiro Oda, Yuichiro Hayashi, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga

Proceedings Volume 6143, 61431C (2006) https://doi.org/10.1117/12.654816

KEYWORDS: Colon, Virtual colonoscopy, Inspection, Volume rendering, 3D image processing, X-ray computed tomography, Cancer, Computed tomography, Diagnostics, Computer aided diagnosis and therapy

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Proceedings Article | 14 April 2005 Paper

A method for detecting colonic polyps using curve fitting from 3D abdominal CT images

Takayuki Kitasaka, Kensaku Mori, Takahiro Kimura, Yuichiro Hayashi, Yasuhito Suenaga, Jun-ichiro Toriwaki

Proceedings Volume 5746, (2005) https://doi.org/10.1117/12.595982

KEYWORDS: Computed tomography, 3D image processing, Cancer, Colon, Virtual colonoscopy, Target detection, Computer aided diagnosis and therapy, Image segmentation, Gaussian filters, Error analysis

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This paper proposes a method for detecting colonic-polyp candidates from 3-D abdominal CT images based on curvatures calculated from curve fitting results. The proposed method can detect polyp candidates with a very low false-positive rate. Development of a computer aided detection (CAD) system for colonic polyps is expected to be continue due to significant increase of colonic cancers in Japan. Many research groups have reported methods for detecting colonic polyp candidates based on curvatures on colonic walls. However, because they approximated the first and second-order derivatives, which are required for computing curvatures, by using intensity differentiation, detection results were significantly influenced by noise and included many false-positives. To reduce false-positives, we propose a method for geometrically calculating curvatures based on curve-fitting to iso-intensity points. First the colonic wall region is segmented by using a region-growing method from original images. For each point on the colonic wall (target point), we find iso-intensity points around the given processing area by using linear-interpolation. Curve fitting to the obtained points is performed by using a least squared error method, and the size of the processing area is automatically adjusted during the curve fitting process. The curvature of the target point is calculated from the first and second derivatives of the obtained curve, after which the shape index and curvedness are calculated. We extract points whose shapes are classified as convex and within the predefined curvedness. Colonic polyp candidates are obtained by performing connected component analysis including small component elimination. The proposed method was applied to a noisy artificial-figure image and abdominal CT images. Experimental results indicate that the proposed method detected a few false-positives while maintaining 100% true positive rate, whereas the previous method generated 10 FPs under the same experimental conditions.

Proceedings Article | 30 April 2004 Paper

Virtual pneumoperitoneum for generating virtual laparoscopic images based on shape deformation

Kensaku Mori, Yuichiro Hayashi, Keisuke Ohta, Takayuki Kitasaka, Yasuhito Suenaga, Junichiro Toriwaki, Makoto Hashizume

Proceedings Volume 5369, (2004) https://doi.org/10.1117/12.536697

KEYWORDS: Laparoscopy, Surgery, Computed tomography, Image processing, 3D image processing, Liver, Visualization, Endoscopy, Navigation systems, Image segmentation

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Proceedings Article | 2 May 2003 Paper

Quantitative evaluation of observation methods in virtual endoscopy based on the rate of undisplayed region

Yuichiro Hayashi, Kensaku Mori, Jun-ichi Hasegawa, Yasuhito Suenaga, Jun-ichiro Toriwaki

Proceedings Volume 5031, (2003) https://doi.org/10.1117/12.480695

KEYWORDS: Colon, Virtual colonoscopy, Endoscopy, Cameras, Image processing, Visualization, Computed tomography, Distortion, Diagnostics, Surgery

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Proceedings Article | 21 May 2001 Paper

Method for detecting unobserved regions in virtual endoscopy system

Kensaku Mori, Yuichiro Hayashi, Yasuhito Suenaga, Jun-ichiro Toriwaki, Jun-ichi Hasegawa, Kazuhiro Katada

Proceedings Volume 4321, (2001) https://doi.org/10.1117/12.428129

KEYWORDS: Endoscopy, Volume rendering, Colon, Tumors, Opacity, Virtual colonoscopy, Visualization, X-ray imaging, X-rays, Diagnostics

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