Szczegóły publikacji
Opis bibliograficzny
Usage of ICP algorithms for initial alignment in B-Splines FFD image registration in breast cancer radiotherapy planning / Marek WODZIŃSKI, Andrzej SKALSKI, Piotr Kędzierawski, Tomasz Kuszewski, Izabela Ciepiela // W: Recent developments and achievements in biocybernetics and biomedical engineering : proceedings of the 20th Polish Conference on Biocybernetics and Biomedical Engineering, Kraków, Poland, September 20-22, 2017 / eds. Piotr Augustyniak, Roman Maniewski, Ryszard Tadeusiewicz. — [Cham] : Springer International Publishing, cop. 2018. — (Advances in Intelligent Systems and Computing ; ISSN 2194-5357 ; vol. 647). — ISBN: 978-3-319-66904-5; e-ISBN: 978-3-319-66905-2. — S. 143–152. — Bibliogr. s. 151–152, Abstr.
Autorzy (5)
- AGHWodziński Marek
- AGHSkalski Andrzej
- Kędzierawski Piotr
- Kuszewski Tomasz
- Ciepiela Izabela
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 108931 |
|---|---|
| Data dodania do BaDAP | 2017-09-30 |
| DOI | 10.1007/978-3-319-66905-2_12 |
| Rok publikacji | 2018 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | 20th Polish Conference on Biocybernetics and Biomedical Engineering |
| Czasopismo/seria | Advances in Intelligent Systems and Computing |
Abstract
Estimation of a resected tumor lodge localization after a breast cancer surgery is a demanding task for the radiotherapy planning. The image registration techniques can be used to improve the radiotherapy. The initial alignment of two volumes is an important aspect of medical image registration procedure. We propose usage of the iterative closest point in two different scenarios: as a initial alignment, replacing intensity based rigid registration and as a initial transform to speed-up traditional rigid registration process. Two versions of the algorithm are presented: a point matching between bone structures and a line matching between volume edges. The correctness and usefulness are evaluated using: a target registration error, comparison of the computation time and convergence ratios, and visual inspection. The results demonstrate that the usage of iterative closest point algorithm significantly improve the initial alignment process in terms of the computation time.