Hallack A, Papież BW, Wilson J, Wang LM, Maughan T, Gooding MJ, Schnabel JA (2015)
Publication Type: Conference contribution
Publication year: 2015
Publisher: Springer Verlag
Book Volume: 9467
Pages Range: 137-145
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Munich, DEU
ISBN: 9783319281933
DOI: 10.1007/978-3-319-28194-0_17
Histological images provide reliable information on tissue characteristics which can be used to validate and improve our understanding for developing radiological imaging analysis methods. However, due to the large amount of deformation in histology stemming from resected tissues, estimating spatial correspondence with other imaging modalities is a challenging image registration problem. In this work we develop a three-stage framework for nonlinear registration between ex vivo MRI and histology of rectal cancer. For this multi-modality image registration task, two similarity metrics from patch-based feature transformations were used: the dense Scale Invariant Feature Transform (dense SIFT) and the Modality Independent Neighbourhood Descriptor (MIND). The potential of our method is demonstrated on a dataset of eight rectal histology images from two patients using annotated landmarks. The mean registration error was 1.80mm after the rigid registration steps which improved to 1.08mm after nonlinear motion correction using dense SIFT and to 1.52mm using MIND.
APA:
Hallack, A., Papież, B.W., Wilson, J., Wang, L.M., Maughan, T., Gooding, M.J., & Schnabel, J.A. (2015). Correlating tumour histology and ex vivo MRI using dense modality-independent patch-based descriptors. In Pierrick Coupé, Brent Munsell, Guorong Wu, Yiqiang Zhan, Daniel Rueckert (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 137-145). Munich, DEU: Springer Verlag.
MLA:
Hallack, Andre, et al. "Correlating tumour histology and ex vivo MRI using dense modality-independent patch-based descriptors." Proceedings of the 1st International Workshop on Patch-Based Techniques in Medical Imaging, Patch-MI 2015, Munich, DEU Ed. Pierrick Coupé, Brent Munsell, Guorong Wu, Yiqiang Zhan, Daniel Rueckert, Springer Verlag, 2015. 137-145.
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