Preconditioned intensity-based prostate registration using statistical deformation models
Zettinig O, Rackerseder J, Lentes B, Maurer T, Westenfelder K, Eiber M, Frisch B, Navab N (2017)
Publication Type: Conference contribution
Publication year: 2017
Journal
Publisher: IEEE Computer Society
Pages Range: 853-857
Conference Proceedings Title: Proceedings - International Symposium on Biomedical Imaging
Event location: Melbourne, VIC, AUS
ISBN: 9781509011711
DOI: 10.1109/ISBI.2017.7950651
Abstract
Despite the common invisibility of cancerous lesions in transrectal ultrasound (TRUS), TRUS-guided random biopsy is considered the gold standard to diagnose prostate cancer. Pre-interventional magnetic resonance imaging (MRI) has been shown to improve the detection of malignancies but fast and accurate MRI/TRUS registration for multi-modal biopsy guidance remains challenging. In this work, we derive a statistical deformation model (SDM) from 50 automatically segmented patient datasets and propose a novel registration scheme based on a lesion-specific, anisotropic preconditioned similarity metric. The approach is validated on a dataset of 10 patients, showing landmark registration errors of 1.41 mm in the vicinity of suspicious areas.
Involved external institutions
Germany (DE)How to cite
APA:
Zettinig, O., Rackerseder, J., Lentes, B., Maurer, T., Westenfelder, K., Eiber, M.,... Navab, N. (2017). Preconditioned intensity-based prostate registration using statistical deformation models. In Proceedings - International Symposium on Biomedical Imaging (pp. 853-857). Melbourne, VIC, AUS: IEEE Computer Society.
MLA:
Zettinig, Oliver, et al. "Preconditioned intensity-based prostate registration using statistical deformation models." Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, VIC, AUS IEEE Computer Society, 2017. 853-857.
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