Szczegóły publikacji
Opis bibliograficzny
Volume regularization in explicit image registration used for breast cancer bed localization / Marek WODZIŃSKI, Andrzej SKALSKI, Izabela Ciepiela, Tomasz Kuszewski, Piotr Kedzierawski // W: ISBI 2018 [Dokument elektroniczny] : 2018 IEEE International Symposium on Biomedical Imaging : April 4–7, 2018, Washington, D. C., USA. — Wersja do Windows. — Dane tekstowe. — [Piscataway] : IEEE, cop. 2018. — (Proceedings (International Symposium on Biomedical Imaging) ; ISSN 1945-7928). — Dod. ISBN: 978-1-5386-3636-7. — e-ISBN: 978-1-5386-3635-0. — S. 173–176. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 176, Abstr.
Autorzy (5)
- AGHWodziński Marek
- AGHSkalski Andrzej
- Ciepiela Izabela
- Kuszewski Tomasz
- Kedzierawski Piotr
Słowa kluczowe
Dane bibliometryczne
ID BaDAP | 114515 |
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Data dodania do BaDAP | 2018-06-18 |
Tekst źródłowy | URL |
DOI | 10.1109/ISBI.2018.8363548 |
Rok publikacji | 2018 |
Typ publikacji | materiały konferencyjne (aut.) |
Otwarty dostęp | |
Wydawca | Institute of Electrical and Electronics Engineers (IEEE) |
Konferencja | 2018 IEEE 15th International Symposium on Biomedical Imaging |
Czasopismo/seria | Proceedings (International Symposium on Biomedical Imaging) |
Abstract
A breast tumor bed localization is a challenging task for a supportive radiotherapy performed after an oncoplastic surgery. The tumor bed position can be determined by the segmented cancer contour propagation. We introduce a computationally efficient regularization method for the tumor volume contraction and a log-linear error function. The results are validated by an ability to reconstruct artificial but real-like deformation fields and a breast tumors relative volume reduction. We show that both the volume regularization and the log-linear error function improve the applied deformation field reconstruction and increase the relative tumor bed volume contraction.