Cardiology2

MPI Technology

2022年9月11日(日) 08:00 〜 20:00 現地会場なし (配信のみ)

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[WP-2-1] Deep Learning to Reduce Scan Time and Radiation Dose in Myocardial Perfusion Imaging SPECT

Chung Ting Tang^1,2、ZeBang He¹、Alex Ngai Nick Wong¹、Boom Ting Kung²、Ting Kung Au Yong²、Jung Sun Yoo¹ (1.Department of Health Technology and Informatics, The Hong Kong Polytechnic University、2.Nuclear Medicine Unit, Queen Elizabeth Hospital)

[WP-2-2] Ability of artificial intelligence to diagnose coronary artery stenosis using hybrid images of coronary computed tomography angiography and myocardial perfusion SPECT

Hiroto Yoneyama¹、Kenichi Nakajima²、Hiroshi Wakabayashi³、Koichi Okuda⁴、Takahiro Konishi¹、Takayuki Shibutani⁵、Masahisa Onoguchi⁵ (1.Kanazawa University Hospital、2.Department of Functional Imaging and Artificial Intelligence, Kanazawa University、3.Department of Nuclear Medicine, Kanazawa University Hospital、4.Department of Physics、5.Department of Quantum Medical Technology, Kanazawa University)

[WP-2-3] A machine-learning technique to estimate cross-calibration factors for I-123 metaiodobenzylguanidine heart-to-mediastinum ratios

Koichi Okuda¹、Kenichi Nakajima²、Chiemi Kitamura³、Michael Ljungberg⁴、Tetsuo Hosoya³、Yumiko Kirihara³、Mitsumasa Hashimoto¹ (1.Kanazawa Medical University、2.Kanazawa University、3.PDRadiopharma Inc.、4.Lund University)

[WP-2-4] Diagnostic accuracy of ²°¹Tl myocardial perfusion SPECT in end-diastolic images

Yusuke Yamaguchi¹、Takayuki Shibutani²、Kunihito Tsuboi³、Nobuyuki Shindome¹、Mayu Tsujikawa¹、Akira Fukumoto¹、Kazuki Kishimoto¹、Makoto Takagi¹、Michikazu Takatani¹ (1.Department of Radiology, Japan Community Heath Care Organization Osaka Hospital、2.Department of Quantum Medical Technology, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University、3.Department of Central Radiology, Gifu Prefectural Gero Hot Spring Hospital)

[WP-2-5] Performance of the Myocardial perfusion imaging single-photon emission computed tomography attenuation correction without attenuation maps using deep convolutional neural network

Tatsuya Hoashi¹、Yuuya Nakamura²、Yoshikazu Uchiyama⁴、Ryuji Ikeda²、Shinya Shiraishi³、Shigeki Ito⁴ (1.Graduate School of Health Sciences ,Kumamoto University、2.Division of Radiology, Department of Medical Technology,Kumamoto University Hospital、3.Department of Diagnostic Radiology,Faculty of Life Sciences,Kumamoto University、4.Department of Medical Radiation Sciences, Faculty of Life Sciences Kumamoto Univercity)

[WP-2-6] Radiopharmaceutical dose ratios in a one-day Tc-99m stress/rest myocardial perfusion SPECT(MPI) on CZT SPECT camera.

Takatoshi Sunaga^1,2、Susumu Kurita¹、Masahisa Onoguchi²、Takayuki Shibutani²、Shota Saitou¹ (1.CHIBA-NISHI GENERAL HOSPITAL、2.KANAZAWA UNIVERSITY Graduate School of Medical Sciences)

[WP-2-7] Diagnostic impact of CT attenuation correction on CZT myocardial perfusion SPECT in patients with coronary artery disease

Yoshimitsu Honda、Yoshimitsu Fukushima、Shinichiro Kumita (Nippon Medical School Hosptal)

[WP-2-8] Comparison of myocardial ischemia detection between semiconductor and conventional Anger-type three-detector SPECT

Hiroto Yoneyama¹、Kenichi Nakajima²、Hiroshi Wakabayashi³、Koichi Okuda⁴、Takahiro Konishi¹、Takayuki Shibutani⁵、Masahisa Onoguchi⁵ (1.Kanazawa University Hospital、2.Department of Functional Imaging and Artificial Intelligence, Kanazawa University、3.Department of Nuclear Medicine, Kanazawa University Hospital、4.Department of Physics, Kanazawa Medical University、5.Department of Quantum Medical Technology, Kanazawa University)

[WP-2-9] Feasibility of Cardiac PET Imaging at a Temporal Resolution of 90 msec

Michael Knopp¹、Katherine Binzel¹、Yu-lung Hsieh¹、Michelle Knopp²、Eric Miller³、Gbemiga Sofowora³、Chadwick Wright¹ (1.OSU Wright Center of Innovation、2.University of Cincinnati Medical Center、3.The Ohio State University Wexner Medical Center)

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Cardiology2

MPI Technology