Automatic histology registration in application to X-ray modalities

Chicherova, Natalia and Hieber, Simone E. and Schulz, Georg and Khimchenko, Anna and Bikis, Christos and Cattin, Philippe C. and Mueller, Bert. (2016) Automatic histology registration in application to X-ray modalities. In: Developments in X-Ray Tomography X. Bellingham, pp. 9967-9968.

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Official URL: http://edoc.unibas.ch/54864/

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Registration of microscope images to Computed Tomography (CT) 3D volumes is a challenging task because it requires not only multi-modal similarity measure but also 2D-3D or slice-to-volume correspondence. This type of registration is usually done manually which is very time-consuming and prone to errors. Recently we have developed the first automatic approach to localize histological sections in μCT data of a jaw bone. The median distance between the automatically found slices and the ground truth was below 35 μm. Here we explore the limitations of the method by applying it to three tomography datasets acquired with grating interferometry, laboratory-based μCT and single-distance phase retrieval. Moreover, we compare the performance of three feature detectors in the proposed framework, i.e. Speeded Up Robust Features (SURF), Scale Invariant Feature Transform (SIFT) and Affine SIFT (ASIFT). Our results show that all the feature detectors performed significantly better on the grating interferometry dataset than on other modalities. The median accuracy for the vertical position was 0.06 mm. Across the feature detector types the smallest error was achieved by the SURF-based feature detector (0.29 mm). Furthermore, the SURF-based method was computationally the most efficient. Thus, we recommend to use the SURF feature detector for the proposed framework.
Faculties and Departments:03 Faculty of Medicine > Departement Biomedical Engineering > Imaging and Computational Modelling > Center for medical Image Analysis & Navigation (Cattin)
UniBasel Contributors:Cattin, Philippe Claude
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Paper
Series Name:Proceedings of SPIE. 5200
Issue Number:9967
Note:Publication type according to Uni Basel Research Database: Conference paper
Last Modified:12 Dec 2017 15:43
Deposited On:12 Dec 2017 15:43

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