Dr. Xiangrong Zhou Profile

Dr. Xiangrong Zhou

Associate Professor at Gifu Univ

SPIE Involvement:

Author

Publications (53)

Proceedings Article | 7 April 2023 Poster + Paper

Recognition of tooth numbers and conditions on dental panoramic radiographs for assisting dental chart filing

Chisako Muramatsu, Koki Sakai, Yuta Seino, Ryo Takahashi, Tatsuro Hayashi, Wataru Nishiyama, Xiangrong Zhou, Takeshi Hara, Akitoshi Katsumata, Hiroshi Fujita

Proceedings Volume 12465, 1246539 (2023) https://doi.org/10.1117/12.2655306

KEYWORDS: Teeth, Panoramic photography, Radiography, Object detection, Cross validation, Diagnostics

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SPIE Journal Paper | 22 June 2022

Tooth recognition of 32 tooth types by branched single shot multibox detector and integration processing in panoramic radiographs

Takumi Morishita, Chisako Muramatsu, Yuta Seino, Ryo Takahashi, Tatsuro Hayashi, Wataru Nishiyama, Xiangrong Zhou, Takeshi Hara, Akitoshi Katsumata, Hiroshi Fujita

JMI, Vol. 9, Issue 03, 034503, (June 2022) https://doi.org/10.1117/12.10.1117/1.JMI.9.3.034503

KEYWORDS: Teeth, Sensors, Panoramic photography, Radiography, Target detection, Performance modeling, Image segmentation, Neural networks, Medical imaging, Image classification

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Proceedings Article | 1 May 2022 Paper

Automated segmentation of oblique abdominal muscle based on body cavity segmentation in torso CT images using U-Net

N. Kamiya, X. Zhou, H. Kato, T. Hara, H. Fujita

Proceedings Volume 12177, 121771V (2022) https://doi.org/10.1117/12.2624316

KEYWORDS: Image segmentation, Computed tomography, Medicine, Tomography, Tissues, Intestine, Information technology, Image processing, Bone, Visualization

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Proceedings Article | 1 May 2022 Paper

Classification of pancreatic tumors using colored two-dimensional histograms from ultrasound endoscopic images

Yuji Takeuchi, Takeshi Hara, Xiangrong Zhou, Yuhei Iwasa, Takuji Iwashita, Masahito Shimizu

Proceedings Volume 12177, 121771D (2022) https://doi.org/10.1117/12.2625862

KEYWORDS: Tumors, Pancreatic cancer, Ultrasonography, Cancer, Endoscopy, Video, Image classification, Feature extraction

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Proceedings Article | 1 May 2022 Paper

Detection and classification of 32 tooth types in dental panoramic radiographs using single CNN model and post-processing

Takumi Morishita, Chisako Muramatsu, Yuta Seino, Ryo Takahashi, Tatsuro Hayashi, Wataru Nishiyama, Xiangrong Zhou, Takeshi Hara, Akitoshi Katsumata, Hiroshi Fujita

Proceedings Volume 12177, 121771T (2022) https://doi.org/10.1117/12.2625961

KEYWORDS: Teeth, Radiography, Panoramic photography, Image classification, Target detection, Target recognition, Sensors, Medical imaging, Image processing, Dentistry

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Proceedings Article | 20 April 2021 Paper

Relationship between number of annotations and accuracy in segmentation of the erector spinae muscle using Bayesian U-Net in torso CT images

Yuichi Wakamatsu, Naoki Kamiya, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita

Proceedings Volume 11792, 1179207 (2021) https://doi.org/10.1117/12.2590780

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Tooth recognition and classification using multi-task learning and post-processing in dental panoramic radiographs

Takumi Morishita, Chisako Muramatsu, Xiangrong Zhou, Ryo Takahashi, Tatsuro Hayashi, Wataru Nishiyama, Takeshi Hara, Yoshiko Ariji, Eiichiro Ariji, Akitoshi Katsumata, Hiroshi Fujita

Proceedings Volume 11597, 115971X (2021) https://doi.org/10.1117/12.2582046

KEYWORDS: Teeth, Radiography, Panoramic photography, Sensors, Image classification

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

A hybrid approach for mammary gland segmentation on CT images by embedding visual explanations from a deep learning classifier into a Bayesian inference

Xiangrong Zhou, Seiya Yamagishi, Takeshi Hara, Hiroshi Fujita

Proceedings Volume 11597, 115971V (2021) https://doi.org/10.1117/12.2581924

KEYWORDS: Image segmentation, Computed tomography, Mammary gland, Visualization, Bayesian inference, Diagnostics, Clinical medicine, Breast cancer, 3D image processing

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Proceedings Article | 2 March 2020 Paper

Tooth numbering in cone-beam CT using a relation network for automatic filing of dentition charts

Chisako Muramatsu, Shota Kutsuna, Ryo Takahashi, Tatsuro Hayashi, Wataru Nishiyama, Yoshiko Ariji, Xiangrong Zhou, Takeshi Hara, Akitoshi Katsumata, Eiichiro Ariji, Hiroshi Fujita

Proceedings Volume 11318, 113180L (2020) https://doi.org/10.1117/12.2550933

KEYWORDS: Teeth, Computed tomography, Image segmentation, Dentistry, Diagnostics, Forensic science, Databases

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Proceedings Article | 27 March 2019 Paper

Quantitative analysis of dopamine transporter imaging using generating MR image from low dose CT image and segmentation by deep learning

Shogo Yokoi, Takeshi Hara, Tetsuro Katafuchi, Masaki Matsusako, Xiangrong Zhou, Hiroshi Fujita

Proceedings Volume 11050, 1105012 (2019) https://doi.org/10.1117/12.2521690

KEYWORDS: Magnetic resonance imaging, Computed tomography, Image segmentation, Quantitative analysis, Single photon emission computed tomography, 3D image reconstruction, Image analysis, Image visualization, Medical imaging, Visualization

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Proceedings Article | 27 March 2019 Paper

Initial study on the classification of amyotrophic diseases using texture analysis and deep learning in whole-body CT images

N. Kamiya, A. Oshima, E. Asano, X. Zhou, M. Yamada, H. Kato, C. Muramatsu, T. Hara, T. Miyoshi, M. Matsuo, H. Fujita

Proceedings Volume 11050, 110500X (2019) https://doi.org/10.1117/12.2518199

KEYWORDS: Computed tomography, Statistical analysis, Image classification, Inspection, Radiology, Visualization, Computer aided diagnosis and therapy, Analytical research, Information science, Information technology

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Proceedings Article | 15 March 2019 Paper

Learning 3D non-rigid deformation based on an unsupervised deep learning for PET/CT image registration

Hengjian Yu, Xiangrong Zhou, Huiyan Jiang, Hongjian Kang, Zhiguo Wang, Takeshi Hara, Hiroshi Fujita

Proceedings Volume 10953, 109531X (2019) https://doi.org/10.1117/12.2512698

KEYWORDS: Image registration, Positron emission tomography, 3D image processing, Computed tomography, Medical imaging, Transformers, Image processing, Digital imaging, Image fusion, Computer aided diagnosis and therapy

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Proceedings Article | 13 March 2019 Paper

Automatic anatomy partitioning of the torso region on CT images by using a deep convolutional network with majority voting

Xiangrong Zhou, Takuya Kojima, Song Wang, Xinxin Zhou, Takeshi Hara, Taiki Nozaki, Masaki Matsusako, Hiroshi Fujita

Proceedings Volume 10950, 109500Z (2019) https://doi.org/10.1117/12.2512651

KEYWORDS: Computed tomography, 3D image processing, 3D acquisition, Target detection, Image processing, Uterus, Convolutional neural networks

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Proceedings Article | 27 February 2018 Paper

Performance evaluation of 2D and 3D deep learning approaches for automatic segmentation of multiple organs on CT images

Xiangrong Zhou, Kazuma Yamada, Takuya Kojima, Ryosuke Takayama, Song Wang, Xinxin Zhou, Takeshi Hara, Hiroshi Fujita

Proceedings Volume 10575, 105752C (2018) https://doi.org/10.1117/12.2295178

KEYWORDS: Image segmentation, Computed tomography, 3D image processing, 3D modeling, Image processing, Medical imaging, Convolutional neural networks, Chest

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Proceedings Article | 3 March 2017 Paper

Automated assessment of breast tissue density in non-contrast 3D CT images without image segmentation based on a deep CNN

Xiangrong Zhou, Takuya Kano, Hiromi Koyasu, Shuo Li, Xinxin Zhou, Takeshi Hara, Masayuki Matsuo, Hiroshi Fujita

Proceedings Volume 10134, 101342Q (2017) https://doi.org/10.1117/12.2254320

KEYWORDS: Breast, Computed tomography, Image segmentation, X-ray computed tomography, 3D image processing, Mammary gland, Image processing, Image classification, X-ray imaging, X-rays, Tissues, Breast cancer, Medicine, 3D acquisition

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Proceedings Article | 3 March 2017 Paper

Tooth labeling in cone-beam CT using deep convolutional neural network for forensic identification

Yuma Miki, Chisako Muramatsu, Tatsuro Hayashi, Xiangrong Zhou, Takeshi Hara, Akitoshi Katsumata, Hiroshi Fujita

Proceedings Volume 10134, 101343E (2017) https://doi.org/10.1117/12.2254332

KEYWORDS: Convolutional neural networks, Teeth, Computed tomography, Neural networks, Forensic science, Image classification, Image analysis, Network architectures, Convolution, Imaging systems, Machine learning, X-ray computed tomography, Image segmentation, X-ray imaging, X-rays, Facial recognition systems

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Proceedings Article | 3 March 2017 Paper

Automated analysis of whole skeletal muscle for muscular atrophy detection of ALS in whole-body CT images: preliminary study

Naoki Kamiya, Kosuke Ieda, Xiangrong Zhou, Megumi Yamada, Hiroki Kato, Chisako Muramatsu, Takeshi Hara, Toshiharu Miyoshi, Takashi Inuzuka, Masayuki Matsuo, Hiroshi Fujita

Proceedings Volume 10134, 1013442 (2017) https://doi.org/10.1117/12.2251584

KEYWORDS: Computed tomography, Computer aided diagnosis and therapy, Solid modeling, Diagnostics, Inspection, Image segmentation, Visualization, Computer aided design, Abdomen, Lung, 3D modeling, Medicine, Radiology

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Amyotrophic lateral sclerosis (ALS) causes functional disorders such as difficulty in breathing and swallowing through the atrophy of voluntary muscles. ALS in its early stages is difficult to diagnose because of the difficulty in differentiating it from other muscular diseases. In addition, image inspection methods for aggressive diagnosis for ALS have not yet been established. The purpose of this study is to develop an automatic analysis system of the whole skeletal muscle to support the early differential diagnosis of ALS using whole-body CT images. In this study, the muscular atrophy parts including ALS patients are automatically identified by recognizing and segmenting whole skeletal muscle in the preliminary steps. First, the skeleton is identified by its gray value information. Second, the initial area of the body cavity is recognized by the deformation of the thoracic cavity based on the anatomical segmented skeleton. Third, the abdominal cavity boundary is recognized using ABM for precisely recognizing the body cavity. The body cavity is precisely recognized by non-rigid registration method based on the reference points of the abdominal cavity boundary. Fourth, the whole skeletal muscle is recognized by excluding the skeleton, the body cavity, and the subcutaneous fat. Additionally, the areas of muscular atrophy including ALS patients are automatically identified by comparison of the muscle mass. The experiments were carried out for ten cases with abnormality in the skeletal muscle. Global recognition and segmentation of the whole skeletal muscle were well realized in eight cases. Moreover, the areas of muscular atrophy including ALS patients were well identified in the lower limbs. As a result, this study indicated the basic technology to detect the muscle atrophy including ALS. In the future, it will be necessary to consider methods to differentiate other kinds of muscular atrophy as well as the clinical application of this detection method for early ALS detection and examine a large number of cases with stage and disease type.

Proceedings Article | 24 February 2017 Paper

Automated segmentation of 3D anatomical structures on CT images by using a deep convolutional network based on end-to-end learning approach

Xiangrong Zhou, Ryosuke Takayama, Song Wang, Xinxin Zhou, Takeshi Hara, Hiroshi Fujita

Proceedings Volume 10133, 1013324 (2017) https://doi.org/10.1117/12.2254201

KEYWORDS: Image segmentation, Computed tomography, 3D image processing, Neural networks, Image classification, Integration, Chest, Abdomen, Pancreas, Kidney, 3D scanning, Veins, Databases, Image processing, 3D acquisition

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Proceedings Article | 29 March 2016 Paper

Three modality image registration of brain SPECT/CT and MR images for quantitative analysis of dopamine transporter imaging

Yuzuho Yamaguchi, Yuta Takeda, Takeshi Hara, Xiangrong Zhou, Masaki Matsusako, Yuki Tanaka, Kazuhiko Hosoya, Tsutomu Nihei, Tetsuro Katafuchi, Hiroshi Fujita

Proceedings Volume 9788, 97881V (2016) https://doi.org/10.1117/12.2217384

KEYWORDS: Image fusion, Single photon emission computed tomography, Image registration, Magnetic resonance imaging, Image analysis, Image segmentation, Neurons, Visualization, Image visualization, Neuroimaging, Computed tomography, Brain, Medical imaging

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Proceedings Article | 24 March 2016 Paper

Automated recognition of the iliac muscle and modeling of muscle fiber direction in torso CT images

N. Kamiya, X. Zhou, K. Azuma, C. Muramatsu, T. Hara, H. Fujita

Proceedings Volume 9785, 97853K (2016) https://doi.org/10.1117/12.2214613

KEYWORDS: Computed tomography, Databases, Data modeling, Visualization, Image segmentation, CAD systems, Laser induced plasma spectroscopy, Feature extraction, Intestine, Medicine, Solid modeling, Quantitative analysis

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Proceedings Article | 24 March 2016 Paper

Automatic quantification of mammary glands on non-contrast x-ray CT by using a novel segmentation approach

Xiangrong Zhou, Takuya Kano, Yunliang Cai, Shuo Li, Xinxin Zhou, Takeshi Hara, Ryujiro Yokoyama, Hiroshi Fujita

Proceedings Volume 9785, 97851Z (2016) https://doi.org/10.1117/12.2217256

KEYWORDS: Image segmentation, Breast, Mammary gland, X-ray computed tomography, X-ray imaging, X-rays, 3D image processing, Cancer, Machine learning, Image processing, Computed tomography, Breast cancer, Tissues, Skin

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Proceedings Article | 20 March 2015 Paper

Automatic anatomy partitioning of the torso region on CT images by using multiple organ localizations with a group-wise calibration technique

Xiangrong Zhou, Syoichi Morita, Xinxin Zhou, Huayue Chen, Takeshi Hara, Ryujiro Yokoyama, Masayuki Kanematsu, Hiroaki Hoshi, Hiroshi Fujita

Proceedings Volume 9414, 94143K (2015) https://doi.org/10.1117/12.2081786

KEYWORDS: Computed tomography, 3D acquisition, Sensors, Calibration, Tissues, 3D image processing, Target detection, Liver, Pancreas, Databases

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Proceedings Article | 20 March 2015 Paper

Semi-automated measurements of heart-to-mediastinum ratio on 123I-MIBG myocardial scintigrams by using image fusion method with chest X-ray images

Ryosuke Kawai, Takeshi Hara, Tetsuro Katafuchi, Tadahiko Ishihara , Xiangrong Zhou, Chisako Muramatsu, Yoshiteru Abe, Hiroshi Fujita

Proceedings Volume 9414, 941433 (2015) https://doi.org/10.1117/12.2081630

KEYWORDS: Chest, Image fusion, Heart, Image segmentation, Chest imaging, Lung, Neodymium, Medicine, Diagnostics, Dementia

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MIBG (iodine-123-meta-iodobenzylguanidine) is a radioactive medicine that is used to help diagnose not only myocardial diseases but also Parkinson’s diseases (PD) and dementia with Lewy Bodies (DLB). The difficulty of the segmentation around the myocardium often reduces the consistency of measurement results. One of the most common measurement methods is the ratio of the uptake values of the heart to mediastinum (H/M). This ratio will be a stable independent of the operators when the uptake value in the myocardium region is clearly higher than that in background, however, it will be unreliable indices when the myocardium region is unclear because of the low uptake values. This study aims to develop a new measurement method by using the image fusion of three modalities of MIBG scintigrams, 201-Tl scintigrams, and chest radiograms, to increase the reliability of the H/M measurement results. Our automated method consists of the following steps: (1) construct left ventricular (LV) map from 201-Tl myocardium image database, (2) determine heart region in chest radiograms, (3) determine mediastinum region in chest radiograms, (4) perform image fusion of chest radiograms and MIBG scintigrams, and 5) perform H/M measurements on MIBG scintigrams by using the locations of heart and mediastinum determined on the chest radiograms. We collected 165 cases with 201-Tl scintigrams and chest radiograms to construct the LV map. Another 65 cases with MIBG scintigrams and chest radiograms were also collected for the measurements. Four radiological technologists (RTs) manually measured the H/M in the MIBG images. We compared the four RTs’ results with our computer outputs by using Pearson’s correlation, the Bland-Altman method, and the equivalency test method. As a result, the correlations of the H/M between four the RTs and the computer were 0.85 to 0.88. We confirmed systematic errors between the four RTs and the computer as well as among the four RTs. The variation range of the H/M among the four RTs was obtained as 0.22 based on the equivalency test method. The computer outputs were existed within this range. We concluded that our image fusion method could measure equivalent values between the system and the RTs.

Proceedings Article | 18 March 2014 Paper

Toward early diagnosis of arteriosclerotic diseases: collaborative detection of carotid artery calcifications by computer and dentists on dental panoramic radiographs

Chisako Muramatsu, Ryo Takahashi, Takeshi Hara, Tatsuro Hayashi, Akitoshi Katsumata, Xiangrong Zhou, Hiroshi Fujita

Proceedings Volume 9035, 903521 (2014) https://doi.org/10.1117/12.2043407

KEYWORDS: Panoramic photography, Computer aided diagnosis and therapy, Radiography, Arteries, Teleradiology, Diagnostics, Feature selection, Imaging systems, Clinical trials, Image processing

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Proceedings Article | 18 March 2014 Paper

A universal approach for automatic organ segmentations on 3D CT images based on organ localization and 3D GrabCut

Xiangrong Zhou, Takaaki Ito, Xinxin Zhou, Huayue Chen, Takeshi Hara, Ryujiro Yokoyama, Masayuki Kanematsu, Hiroaki Hoshi, Hiroshi Fujita

Proceedings Volume 9035, 90352V (2014) https://doi.org/10.1117/12.2043507

KEYWORDS: Computed tomography, Image segmentation, 3D acquisition, 3D image processing, Target detection, Detection and tracking algorithms, Tissues, 3D scanning, Sensors, Neodymium

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Proceedings Article | 18 March 2013 Paper

Pulmonary emphysema classification based on an improved texton learning model by sparse representation

Min Zhang, Xiangrong Zhou, Satoshi Goshima, Huayue Chen, Chisako Muramatsu, Takeshi Hara, Ryujiro Yokoyama, Masayuki Kanematsu, Hiroshi Fujita

Proceedings Volume 8670, 86700F (2013) https://doi.org/10.1117/12.2007934

KEYWORDS: Emphysema, Associative arrays, Image classification, Computed tomography, Lung, Chronic obstructive pulmonary disease, Chemical species, 3D image processing, Tissues, Signal attenuation

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Proceedings Article | 28 February 2013 Paper

Automatic organ localizations on 3D CT images by using majority-voting of multiple 2D detections based on local binary patterns and Haar-like features

Xiangrong Zhou, Shoutarou Yamaguchi, Xinxin Zhou, Huayue Chen, Takeshi Hara, Ryujiro Yokoyama, Masayuki Kanematsu, Hiroshi Fujita

Proceedings Volume 8670, 86703A (2013) https://doi.org/10.1117/12.2007466

KEYWORDS: Computed tomography, 3D acquisition, Target detection, Sensors, 3D image processing, 3D scanning, Binary data, Detection and tracking algorithms, Liver, Image segmentation

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Proceedings Article | 28 February 2013 Paper

Temporal subtraction system on torso FDG-PET scans based on statistical image analysis

Yusuke Shimizu, Takeshi Hara, Daisuke Fukuoka, Xiangrong Zhou, Chisako Muramatsu, Satoshi Ito, Kenta Hakozaki, Shin-ichiro Kumita, Kei-ichi Ishihara, Tetsuro Katafuchi, Hiroshi Fujita

Proceedings Volume 8670, 86703F (2013) https://doi.org/10.1117/12.2007886

KEYWORDS: Cancer, Computer aided diagnosis and therapy, Statistical image analysis, Diagnostics, Neodymium, Computing systems, Imaging systems, Medical imaging, CAD systems

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Proceedings Article | 4 February 2013 Paper

Local binary pattern statistics feature for reduced reference image quality assessment

Min Zhang, Xuanqin Mou, Hiroshi Fujita, Lei Zhang, Xiangrong Zhou, Wufeng Xue

Proceedings Volume 8660, 86600L (2013) https://doi.org/10.1117/12.2008646

KEYWORDS: Image quality, Databases, Distortion, Binary data, Feature extraction, Visualization, Computer programming, Visual process modeling, Image processing, Image compression

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Proceedings Article | 7 March 2012 Paper

User-friendly tools on handheld devices for observer performance study

Takuya Matsumoto, Takeshi Hara, Junji Shiraishi, Daisuke Fukuoka, Hiroyuki Abe, Masaki Matsusako, Akira Yamada, Xiangrong Zhou, Hiroshi Fujita

Proceedings Volume 8318, 83181J (2012) https://doi.org/10.1117/12.912307

KEYWORDS: Software development, Chest, Databases, Lung, Medical imaging, Radiology, Human-machine interfaces, Computer aided design, Medicine, Analytical research

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Proceedings Article | 23 February 2012 Paper

A new screening pathway for identifying asymptomatic patients using dental panoramic radiographs

Tatsuro Hayashi, Takuya Matsumoto, Tsuyoshi Sawagashira, Motoki Tagami, Akitoshi Katsumata, Yoshinori Hayashi, Chisako Muramatsu, Xiangrong Zhou, Yukihiro Iida, Masato Matsuoka, Kiyoji Katagi, Hiroshi Fujita

Proceedings Volume 8315, 83152K (2012) https://doi.org/10.1117/12.911791

KEYWORDS: Panoramic photography, CAD systems, Computer aided diagnosis and therapy, Radiography, Picture Archiving and Communication System, Arteries, Clinical trials, Computer aided design, Image processing, Medical imaging

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Proceedings Article | 23 February 2012 Paper

An application to pulmonary emphysema classification based on model of texton learning by sparse representation

Min Zhang, Xiangrong Zhou, Satoshi Goshima, Huayue Chen, Chisako Muramatsu, Takeshi Hara, Ryojiro Yokoyama, Masayuki Kanematsu, Hiroshi Fujita

Proceedings Volume 8315, 831534 (2012) https://doi.org/10.1117/12.912454

KEYWORDS: Emphysema, Image classification, Associative arrays, Tissues, Lung, Computed tomography, Chronic obstructive pulmonary disease, Computer aided diagnosis and therapy, Medical imaging, Distance measurement

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Proceedings Article | 23 February 2012 Paper

Automated scheme for measuring mandibular cortical thickness on dental panoramic radiographs for osteoporosis screening

T. Matsumoto, T. Hayashi, T. Hara, A. Katsumata, C. Muramatsu, X. Zhou, Y. Iida, M. Matsuoka, Ki. Katagi, H. Fujita

Proceedings Volume 8315, 83152L (2012) https://doi.org/10.1117/12.912309

KEYWORDS: Panoramic photography, Radiography, Bone, CAD systems, Computer aided diagnosis and therapy, Clinical trials, Sensors, Information technology, Radiology, Minerals

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Proceedings Article | 14 February 2012 Paper

Automatic organ segmentation on torso CT images by using content-based image retrieval

Xiangrong Zhou, Atsuto Watanabe, Xinxin Zhou, Takeshi Hara, Ryujiro Yokoyama, Masayuki Kanematsu, Hiroshi Fujita

Proceedings Volume 8314, 83143E (2012) https://doi.org/10.1117/12.912359

KEYWORDS: Image segmentation, Computed tomography, 3D acquisition, Image processing, Kidney, X-ray computed tomography, Liver, 3D image processing, Content based image retrieval, Databases

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Proceedings Article | 15 March 2011 Paper

A decision support scheme for vertebral geometry on body CT scans

Tatsuro Hayashi, Huayue Chen, Kei Miyamoto, Xiangrong Zhou, Takeshi Hara, Ryujiro Yokoyama, Masayuki Kanematsu, Hiroaki Hoshi, Hiroshi Fujita

Proceedings Volume 7962, 796245 (2011) https://doi.org/10.1117/12.877516

KEYWORDS: Computed tomography, Bone, Medicine, Medical imaging, Spine, Minerals, Magnesium, Radiology, Computer aided design, Target detection

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Proceedings Article | 14 March 2011 Paper

A computerized scheme for localization of vertebral bodies on body CT scans

Tatsuro Hayashi, Huayue Chen, Kei Miyamoto, Xiangrong Zhou, Takeshi Hara, Ryujiro Yokoyama, Masayuki Kanematsu, Hiroaki Hoshi, Hiroshi Fujita

Proceedings Volume 7962, 796238 (2011) https://doi.org/10.1117/12.877511

KEYWORDS: Computed tomography, Bone, Spine, Image processing, X-ray computed tomography, Image segmentation, Medicine, Statistical modeling, Medical imaging, Visualization

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Proceedings Article | 9 March 2011 Paper

Detection of metastatic liver tumor in multi-phase CT images by using a spherical gray-level differentiation searching filter

Xuejun Zhang, Takahiro Furukawa, Xiangrong Zhou, Takeshi Hara, Masayuki Kanematsu, Hiroshi Fujita

Proceedings Volume 7963, 79632K (2011) https://doi.org/10.1117/12.878379

KEYWORDS: Tumors, Liver, Computed tomography, Spherical lenses, Image filtering, Image registration, Image segmentation, Electronic filtering, CAD systems, Tissues

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Proceedings Article | 13 March 2010 Paper

Automated extraction method for the center line of spinal canal and its application to the spinal curvature quantification in torso x-ray CT images

Tatsuro Hayashi, Xiangrong Zhou, Huayue Chen, Takeshi Hara, Kei Miyamoto, Tatsunori Kobayashi, Ryujiro Yokoyama, Masayuki Kanematsu, Hiroaki Hoshi, Hiroshi Fujita

Proceedings Volume 7623, 76233F (2010) https://doi.org/10.1117/12.843956

KEYWORDS: X-ray computed tomography, Spine, X-rays, X-ray imaging, Medicine, Tissues, Radiology, 3D image processing, 3D vision, Scanners

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Proceedings Article | 9 March 2010 Paper

A model based method for recognizing psoas major muscles in torso CT images

Naoki Kamiya, Xiangrong Zhou, Huayue Chen, Takeshi Hara, Ryujiro Yokoyama, Masayuki Kanematsu, Hiroaki Hoshi, Hiroshi Fujita

Proceedings Volume 7624, 76241X (2010) https://doi.org/10.1117/12.843758

KEYWORDS: X-ray computed tomography, Medicine, Radiology, X-ray imaging, X-rays, Computer aided diagnosis and therapy, Process modeling, Databases, Visualization, Data modeling

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Proceedings Article | 28 March 2009 Open Access

Automated segmentation and recognition of the bone structure in non-contrast torso CT images using implicit anatomical knowledge

X. Zhou, T. Hayashi, M. Han, H. Chen, T. Hara, H. Fujita, R. Yokoyama, M. Kanematsu, H. Hoshi

Proceedings Volume 7259, 72593S (2009) https://doi.org/10.1117/12.812945

KEYWORDS: Bone, Image segmentation, X-ray computed tomography, Computed tomography, Computer aided diagnosis and therapy, Tissues, Medicine, Radiology, X-rays, Computing systems

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Proceedings Article | 1 April 2008 Paper

Automated scoring system of standard uptake value for torso FDG-PET images

Takeshi Hara, Tatsunori Kobayashi, Kazunao Kawai, Xiangrong Zhou, Satoshi Itoh, Tetsuro Katafuchi, Hiroshi Fujita

Proceedings Volume 6915, 691534 (2008) https://doi.org/10.1117/12.770456

KEYWORDS: Positron emission tomography, Lung cancer, Cancer, Medical imaging, Computer aided diagnosis and therapy, Selenium, Lung, Ultraviolet radiation, Lymphoma, 3D scanning

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Proceedings Article | 17 March 2008 Paper

Unsupervised classification of cirrhotic livers using MRI data

Gobert Lee, Masayuki Kanematsu, Hiroki Kato, Hiroshi Kondo, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita, Hiroaki Hoshi

Proceedings Volume 6915, 691514 (2008) https://doi.org/10.1117/12.770862

KEYWORDS: Liver, Magnetic resonance imaging, Distance measurement, Electronic filtering, Computer aided diagnosis and therapy, Medical imaging, Silicon, Image classification, Receivers, Artificial neural networks

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Proceedings Article | 11 March 2008 Paper

Automated segmentation of middle hepatic vein in non-contrast x-ray CT images based on an atlas-driven approach

Teruhiko Kitagawa, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Hiroshi Kondo, Masayuki Kanematsu, Hiroaki Hoshi

Proceedings Volume 6914, 69144E (2008) https://doi.org/10.1117/12.771612

KEYWORDS: X-ray computed tomography, Liver, Image segmentation, X-rays, X-ray imaging, Image enhancement, Veins, Gold, Computer aided diagnosis and therapy, Computed tomography

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Proceedings Article | 30 March 2007 Paper

Classification of cirrhotic liver in Gadolinium-enhanced MR images

Gobert Lee, Yoshikazu Uchiyama, Xuejun Zhang, Masayuki Kanematsu, Xiangrong Zhou, Takeshi Hara, Hiroki Kato, Hiroshi Kondo, Hiroshi Fujita, Hiroaki Hoshi

Proceedings Volume 6514, 651430 (2007) https://doi.org/10.1117/12.710288

KEYWORDS: Liver, Magnetic resonance imaging, Matrices, Monte Carlo methods, Computer aided diagnosis and therapy, Distance measurement, Image classification, Distortion, Image analysis, Tissues

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Proceedings Article | 30 March 2007 Paper

Automated detection of extradural and subdural hematoma for contrast-enhanced CT images in emergency medical care

Takeshi Hara, Naoto Matoba, Xiangrong Zhou, Shinya Yokoi, Hiroaki Aizawa, Hiroshi Fujita, Keiji Sakashita, Tetsuya Matsuoka

Proceedings Volume 6514, 651432 (2007) https://doi.org/10.1117/12.710307

KEYWORDS: Brain, Neuroimaging, Computed tomography, X-ray computed tomography, Head, Computer aided diagnosis and therapy, Injuries, Skull, Medical imaging, Solid modeling

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Proceedings Article | 30 March 2007 Paper

Computer-aided detection (CAD) of hepatocellular carcinoma on multiphase CT images

Tetsuji Tajima, Xuejun Zhang, Teruhiko Kitagawa, Masayuki Kanematsu, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Hiroshi Kondo, Hiroaki Hoshi, Shigeru Nawano, Kenji Shinozaki

Proceedings Volume 6514, 65142Q (2007) https://doi.org/10.1117/12.709174

KEYWORDS: Liver, Computed tomography, Cancer, Image segmentation, Image registration, Tumors, Edge detection, Computer aided diagnosis and therapy, Feature extraction, Liver cancer

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Proceedings Article | 26 March 2007 Paper

Automated segmentation of mammary gland regions in non-contrast torso CT images based on probabilistic atlas

X. Zhou, M. Kan, T. Hara, H. Fujita, K. Sugisaki, R. Yokoyama, G. Lee, H. Hoshi

Proceedings Volume 6512, 65123O (2007) https://doi.org/10.1117/12.709345

KEYWORDS: Mammary gland, Image segmentation, Computed tomography, Gold, Nipple, X-ray computed tomography, 3D imaging standards, Image processing, Chest, Breast

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Proceedings Article | 8 March 2007 Paper

Automated segmentation of hepatic vessel trees in non-contrast x-ray CT images

Suguru Kawajiri, Xiangrong Zhou, Xuejin Zhang, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Hiroshi Kondo, Masayuki Kanematsu, Hiroaki Hoshi

Proceedings Volume 6512, 65123A (2007) https://doi.org/10.1117/12.710343

KEYWORDS: X-ray computed tomography, Image segmentation, Liver, Computed tomography, Veins, Digital filtering, X-ray imaging, X-rays, Image filtering, Tissues

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Proceedings Article | 5 March 2007 Paper

Segmentation of liver region with tumorous tissues

Xuejun Zhang, Gobert Lee, Tetsuji Tajima, Teruhiko Kitagawa, Masayuki Kanematsu, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Hiroshi Kondo, Hiroaki Hoshi, Shigeru Nawano, Kenji Shinozaki

Proceedings Volume 6512, 651235 (2007) https://doi.org/10.1117/12.709272

KEYWORDS: Liver, Image segmentation, Tumors, Tissues, Computed tomography, Edge detection, Image registration, Image processing, 3D image processing, Magnetic resonance imaging

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Proceedings Article | 12 May 2004 Paper

Automated detection system for pulmonary emphysema on 3D chest CT images

Takeshi Hara, Akira Yamamoto, Xiangrong Zhou, Shingo Iwano, Shigeki Itoh, Hiroshi Fujita, Takeo Ishigaki

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.536376

KEYWORDS: Lung, Emphysema, Computed tomography, Chest, 3D image processing, Quantitative analysis, Medicine, 3D metrology, Signal attenuation, Computer aided diagnosis and therapy

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Proceedings Article | 12 May 2004 Paper

Automatic recognition of lung lobes and fissures from multislice CT images

Xiangrong Zhou, Tatsuro Hayashi, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Takuji Kiryu, Hiroaki Hoshi

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.534499

KEYWORDS: Lung, Computed tomography, Chest, Image processing, 3D image processing, Image segmentation, Tissues, Computer aided diagnosis and therapy, CAD systems, Edge detection

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Proceedings Article | 12 May 2004 Paper

Automated segmentations of skin, soft-tissue, and skeleton, from torso CT images

Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Takuji Kiryu, Hiroaki Hoshi

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.534843

KEYWORDS: Computed tomography, Skin, Image segmentation, Tissues, 3D image processing, Spatial resolution, Computer aided diagnosis and therapy, CAD systems, Image processing, Natural surfaces

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Proceedings Article | 12 May 2004 Paper

Basic study for automatic recognition of osteoporosis using abdominal x-ray CT images

Sadamitsu Nishihara, Hiroshi Fujita, Tadayuki Iida, Atsushi Takigawa, Takeshi Hara, Xiangrong Zhou

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.534663

KEYWORDS: X-ray computed tomography, Diagnostics, X-rays, Bone, Image processing, Minerals, X-ray imaging, Algorithm development, Principal component analysis, Dual energy x-ray absorptiometry

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Showing 5 of 53 publications

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