Szczegóły publikacji
Opis bibliograficzny
Application of Demons image registration algorithms in resected breast cancer lodge localization / Marek WODZIŃSKI, Andrzej SKALSKI, Izabela Ciepiela, Tomasz Kuszewski, Piotr Kędzierawski // W: SPA 2017 : Signal Processing : Algorithms, Architectures, Arrangements, and Applications : Poznan, 20–22nd September 2017 : conference proceedings / IEEE The Institute of Electrical and Electronics Engineers Inc. Region 8 – Europe, Middle East and Africa. Poland Section, Circuits and Systems Chapter , Poznań University of Technology. Faculty of Computing. Institute of Automation and Robotics. Division of Signal Processing and Electronic Systems. — [Piscataway] : IEEE, [2017]. — W bazie Web of Science ISBN: 978-8-3620-6530-1. — ISBN: 978-83-62065-28-8. — S. 400–405. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 404, Abstr.
Autorzy (5)
- AGHWodziński Marek
- AGHSkalski Andrzej
- Ciepiela Izabela
- Kuszewski Tomasz
- Kędzierawski Piotr
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 108944 |
|---|---|
| Data dodania do BaDAP | 2017-09-30 |
| Tekst źródłowy | URL |
| Rok publikacji | 2017 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Institute of Electrical and Electronics Engineers (IEEE) |
| Konferencja | Signal Processing : Algorithms, Architectures, Arrangements, and Applications |
Abstract
An estimation of a resected cancer lodge localization after breast tumor surgery is a challenging task during radiotherapy planning. Knowledge about the tumor lodge position and shape could improve the radiation dose distribution. However, the tumor no longer exists after the surgery, but information about its position is available in the 3D image acquired before the surgery. Therefore, image registration algorithms can be used to estimate the tumor lodge localization and potentially improve the radiotherapy planning. In this work, we evaluate different variants of a Demons image registration algorithm. The nonparametric Demons algorithms are compared to a parametric registration procedure, the B-Splines free-form deformations. The results are evaluated using a target registration error and a medical expert visual inspection. The results show that for small deformations, the diffeomorphic, symmetric Demons are the most reliable, but for larger deformations, parametric B-Splines free-form deformations provide better results. Results demonstrate that there is still a place for a specialized algorithm development.