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Clinical application of deep learning-based synthetic CT from real MRI to improve dose planning accuracy in Gamma Knife radiosurgery: a proof of concept study.
Park, So Hee; Choi, Dong Min; Jung, In-Ho; Chang, Kyung Won; Kim, Myung Ji; Jung, Hyun Ho; Chang, Jin Woo; Kim, Hwiyoung; Chang, Won Seok.
Afiliación
  • Park SH; Department of Neurosurgery, Brain Research Institute, Yonsei Medical Gamma Knife Center, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722 Republic of Korea.
  • Choi DM; Center of Clinical Imaging Data Science, Department of Radiology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722 Republic of Korea.
  • Jung IH; Department of Neurosurgery, Brain Research Institute, Yonsei Medical Gamma Knife Center, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722 Republic of Korea.
  • Chang KW; Department of Neurosurgery, Brain Research Institute, Yonsei Medical Gamma Knife Center, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722 Republic of Korea.
  • Kim MJ; Department of Neurosurgery, Korea University Medical Center, Korea University College of Medicine, Ansan Hospital, Ansan-si, Republic of Korea.
  • Jung HH; Department of Neurosurgery, Brain Research Institute, Yonsei Medical Gamma Knife Center, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722 Republic of Korea.
  • Chang JW; Department of Neurosurgery, Brain Research Institute, Yonsei Medical Gamma Knife Center, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722 Republic of Korea.
  • Kim H; Center of Clinical Imaging Data Science, Department of Radiology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722 Republic of Korea.
  • Chang WS; Department of Biomedical System Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.
Biomed Eng Lett ; 12(4): 359-367, 2022 Nov.
Article en En | MEDLINE | ID: mdl-36238366
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Biomed Eng Lett Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Biomed Eng Lett Año: 2022 Tipo del documento: Article