Machine learning-based prediction of conversion coefficients for I-123 metaiodobenzylguanidine heart-to-mediastinum ratio.

Okuda, Koichi; Nakajima, Kenichi; Kitamura, Chiemi; Ljungberg, Michael; Hosoya, Tetsuo; Kirihara, Yumiko; Hashimoto, Mitsumasa

Okuda, Koichi; Nakajima, Kenichi; Kitamura, Chiemi; Ljungberg, Michael; Hosoya, Tetsuo; Kirihara, Yumiko; Hashimoto, Mitsumasa.

Afiliação

Okuda K; Department of Physics, Kanazawa Medical University, 1-1 Daigaku, Uchinada, Kahoku, Ishikawa, 920-0293, Japan. okuda@kanazawa-med.ac.jp.
Nakajima K; Department of Radiation Science, Hirosaki University Graduate School of Health Sciences, Hirosaki-shi, Aomori, Japan. okuda@kanazawa-med.ac.jp.
Kitamura C; Department of Functional Imaging and Artificial Intelligence, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, Kanazawa, Ishikawa, Japan.
Ljungberg M; PDRadiopharma Inc., Kyobashi, Tokyo, Japan.
Hosoya T; Medical Radiation Physics, Lund University, Lund, Scania, Sweden.
Kirihara Y; PDRadiopharma Inc., Kyobashi, Tokyo, Japan.
Hashimoto M; PDRadiopharma Inc., Kyobashi, Tokyo, Japan.

J Nucl Cardiol ; 30(4): 1630-1641, 2023 08.

Article em En | MEDLINE | ID: mdl-36740650

Assuntos

3-Iodobenzilguanidina; Mediastino; Humanos; Mediastino/diagnóstico por imagem; Coração/diagnóstico por imagem; Radioisótopos do Iodo; Imagens de Fantasmas; Método de Monte Carlo

Palavras-chave

123I-MIBG; Monte Carlo simulation; collimator; heart-to-mediastinum ratio

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: 3-Iodobenzilguanidina / Mediastino Tipo de estudo: Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Nucl Cardiol Assunto da revista: CARDIOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Japão

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