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Feasibility of Extracted-Overlay Fusion Imaging for Intraoperative Treatment Evaluation of Radiofrequency Ablation for Hepatocellular Carcinoma
Author(s) -
Yuki Makino,
Yasuharu Imai,
Takumi Igura,
Sachiyo Kogita,
Yoshiyuki Sawai,
Kazuto Fukuda,
Takayuki Iwamoto,
Junya Okabe,
Manabu Takamura,
Norihiko Fujita,
Masatoshi Hori,
Tetsuo Takehara,
Masatoshi Kudo,
Takamichi Murakami
Publication year - 2016
Publication title -
liver cancer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.916
H-Index - 34
eISSN - 2235-1795
pISSN - 1664-5553
DOI - 10.1159/000449338
Subject(s) - medicine , radiofrequency ablation , ablation zone , ablation , hepatocellular carcinoma , magnetic resonance imaging , nuclear medicine , margin (machine learning) , image fusion , ablative case , radiology , fusion , radiation therapy , linguistics , philosophy , cancer research , machine learning , computer science
Extracted-overlay fusion imaging is a novel computed tomography/magnetic resonance-ultrasonography (CT/MR-US) imaging technique in which a target tumor with a virtual ablative margin is extracted from CT/MR volume data and synchronously overlaid on US images. We investigated the applicability of the technique to intraoperative evaluation of radiofrequency ablation (RFA) for hepatocellular carcinoma (HCC).

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