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International Journal of Chronic Obstructive Pulmonary Disease Volume 14, 2019 - Issue
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Original Research

Quantitative Emphysema Measurement On Ultra-High-Resolution CT Scans

Yanyan Xu1 Department of Radiology, Graduate School of Medical Science, University of the Ryukyus, Okinawa, Japan;2 Department of Radiology, China-Japan Friendship Hospital, Beijing, People’s Republic of ChinaORCID Iconhttps://orcid.org/0000-0002-2029-7521
ORCID Icon,
Tsuneo Yamashiro1 Department of Radiology, Graduate School of Medical Science, University of the Ryukyus, Okinawa, Japan;3 Department of Radiology, Ohara General Hospital, Fukushima, JapanCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-1904-2548
ORCID Icon,
Hiroshi Moriya3 Department of Radiology, Ohara General Hospital, Fukushima, Japan
,
Shun Muramatsu3 Department of Radiology, Ohara General Hospital, Fukushima, Japan
&
Sadayuki Murayama1 Department of Radiology, Graduate School of Medical Science, University of the Ryukyus, Okinawa, Japan
Pages 2283-2290 | Published online: 08 Oct 2019

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Jonas Alexander Leppig, Lan Song, Dorothea C Voigt, Felix W Feldhaus, Christoph Ruwwe-Gloesenkamp, Jacopo Saccomanno, Bianca C Lassen-Schmidt, Konrad Neumann, Katja Leitner, Ralf H Hubner & Felix Doellinger. (2022) When Treatment of Pulmonary Emphysema with Endobronchial Valves Did Not Work: Evaluation of Quantitative CT Analysis and Pulmonary Function Tests Before and After Valve Explantation. International Journal of Chronic Obstructive Pulmonary Disease 17, pages 2553-2566.
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Yukinori Akazawa, Akira Ganaha, Teruyuki Higa, Shunsuke Kondo, Yoshiki Oyakawa, Hitoshi Hirakawa, Mikio Suzuki & Tsuneo Yamashiro. (2020) Measurement of stapes footplate thickness in otosclerosis by ultra-high-resolution computed tomography. Acta Oto-Laryngologica 140:11, pages 899-903.
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Articles from other publishers (10)

Ozkan Doganay, Minsuok Kim & Fergus V. Gleeson. (2022) Gas exchange and ventilation imaging of healthy and COPD subjects using hyperpolarized xenon-129 MRI and a 3D alveolar gas-exchange model. European Radiology 33:5, pages 3322-3331.
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Rui Lv, Mengyao Xie, Huaqian Jin, Pingping Shu, Mingli Ouyang, Yanmao Wang, Dan Yao, Lehe Yang, Xiaoying Huang & Yiran Wang. (2022) A Preliminary Study on the Relationship Between High-Resolution Computed Tomography and Pulmonary Function in People at Risk of Developing Chronic Obstructive Pulmonary Disease. Frontiers in Medicine 9.
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Shun Muramatsu, Kazuhiro Sato, Tsuneo Yamashiro & Kunio Doi. (2022) Quantitative measurements of emphysema in ultra-high resolution computed tomography using model-based iterative reconstruction in comparison to that using hybrid iterative reconstruction. Physical and Engineering Sciences in Medicine 45:1, pages 115-124.
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Shun Muramatsu & Kazuhiro Sato. (2022) Quantitative Evaluation of Airway Lesions in Chronic Obstructive Pulmonary Disease by Applying Deep Learning Reconstruction to Ultra-high-resolution CT Images: Correlation between Wall Area Percentage and Forced Expiratory Volume in One Second Percentage高精細CT画像にdeep learning reconstructionを適用した慢性閉塞性肺疾患の気道病変の定量評価: wall area percentageとforced expiratory volume in one second percentageとの相関. Japanese Journal of Radiological Technology 78:10, pages 1167-1175.
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Akitoshi InoueTucker F. JohnsonBenjamin A. VossYong S. LeeShuai LengChi Wan KooBrian D. McColloughJayse M. WeaverHao GongRickey E. CarterCynthia H. McColloughJoel G. Fletcher. (2021) A Pilot Study to Estimate the Impact of High Matrix Image Reconstruction on Chest Computed Tomography. Journal of Clinical Imaging Science 11, pages 52.
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Naoya Tanabe, Susumu Sato, Tsuyoshi Oguma, Hiroshi Shima, Takeshi Kubo, Satoshi Kozawa, Koji Koizumi, Atsuyasu Sato, Kaori Togashi, Hisako Matsumoto & Toyohiro Hirai. (2021) Influence of Asthma Onset on Airway Dimensions on Ultra–high-resolution Computed Tomography in Chronic Obstructive Pulmonary Disease. Journal of Thoracic Imaging 36:4, pages 224-230.
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Ryo Matsukiyo, Yoshiharu Ohno, Takahiro Matsuyama, Hiroyuki Nagata, Hirona Kimata, Yuya Ito, Yukihiro Ogawa, Kazuhiro Murayama, Ryoichi Kato & Hiroshi Toyama. (2020) Deep learning-based and hybrid-type iterative reconstructions for CT: comparison of capability for quantitative and qualitative image quality improvements and small vessel evaluation at dynamic CE-abdominal CT with ultra-high and standard resolutions. Japanese Journal of Radiology 39:2, pages 186-197.
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Minori Hoshika. (2021) 4. Physical Evaluation of Ultra-high-resolution Computed Tomography ―Cranial Region―4．超高精細 CT の物理評価─頭部領域─. Japanese Journal of Radiological Technology 77:4, pages 397-405.
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Yuka Morita, Tsuneo Yamashiro, Nanae Tsuchiya, Maho Tsubakimoto & Sadayuki Murayama. (2020) Automatic bronchial segmentation on ultra-HRCT scans: advantage of the 1024-matrix size with 0.25-mm slice thickness reconstruction. Japanese Journal of Radiology 38:10, pages 953-959.
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Shun Muramatsu & Kazuhiro Sato. (2020) Quantitative Analysis of Emphysema in Ultra-high-resolution CT by Using Deep Learning Reconstruction: Comparison with Hybrid Iterative ReconstructionDeep learning reconstruction を用いた超高精細CTにおける肺気腫定量解析：逐次近似応用再構成法との比較. Japanese Journal of Radiological Technology 76:11, pages 1163-1172.
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