A machine-learning technique to estimate cross-calibration factors for I-123 metaiodobenzylguanidine heart-to-mediastinum ratios

Koichi Okuda

Presentation information

[WFNMB]Poster

The13th Congress of the World Federation of Nuclear Medicine and Biology(WFNMB2022) » [WFNMB]Poster Program

Cardiology2

MPI Technology

Sun. Sep 11, 2022 8:00 AM - 8:00 PM Web distribution only (配信のみ)

[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)

Abstract password authentication.The password is described on page 8 of the "WFNMB2022 Program"

Presentation information

Cardiology2

MPI Technology

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

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