Authors: | Illan, I. A.; Ramirez, J.; Gorriz, J. M.; Pinker, K.; Meyer-Baese, A. |
Title: | Reproducible evaluation of registration algorithms for movement correction in dynamic contrast enhancing magnetic resonance imaging for breast cancer diagnosis |
Conference Title: | 4th International Workshop on Breast Image Analysis (BIA 2018) held in conjunction with the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) |
Abstract: | Accurate methods for computer aided diagnosis of breast cancer increase accuracy of detection and provide support to physicians in detecting challenging cases. In dynamic contrast enhancing magnetic resonance imaging (DCE-MRI), motion artifacts can appear as a result of patient displacements. Non-linear deformation algorithms for breast image registration provide with a solution to the correspondence problem in contrast with affine models. In this study we evaluate 3 popular non-linear registration algorithms: MIRTK, Demons, SyN Ants, and compare to the affine baseline. We propose automatic measures for reproducible evaluation on the DCE-MRI breast-diagnosis TCIA-database, based on edge detection and clustering algorithms, and provide a rank of the methods according to these measures. © Springer Nature Switzerland AG 2018. |
Keywords: | magnetic resonance imaging; reproducibility; image analysis; registration; medical imaging; diseases; dce-mri; image registration; clustering algorithms; computer aided diagnosis; optical data processing; edge detection; reproducibilities; medical image processing; computer aided analysis; diffeomorphism; non-affine registration; optical flow; optical flows; affine registration; diffeomorphisms |
Journal Title | Lecture Notes in Computer Science |
Volume: | 11040 |
Conference Dates: | 2018 Sep 16 |
Conference Location: | Granada, Spain |
ISBN: | 0302-9743 |
Publisher: | Springer |
Location: | Cham, Switzerland |
Date Published: | 2018-01-01 |
Start Page: | 124 |
End Page: | 131 |
Language: | English |
DOI: | 10.1007/978-3-030-00946-5_14 |
PROVIDER: | scopus |
DOI/URL: | |
Notes: | Conference Paper -- Export Date: 1 November 2018 -- Source: Scopus |