Fast reconstruction of image deformation field using radial basis function

RUČKA, Lukáš and Igor PETERLÍK. Fast reconstruction of image deformation field using radial basis function. In 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI). Neuveden: IEEE. p. 1146-1150. ISBN 978-1-5090-1171-1. doi:10.1109/ISBI.2017.7950719. 2017.

Basic information

• Original name: Fast reconstruction of image deformation field using radial basis function
• Authors: RUČKA, Lukáš (203 Czech Republic, belonging to the institution) and Igor PETERLÍK (703 Slovakia, guarantor, belonging to the institution).
• Edition: Neuveden, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI), p. 1146-1150, 5 pp. 2017.
• Publisher: IEEE

Other information

• Original language: English
• Type of outcome: Proceedings paper
• Field of Study: 10201 Computer sciences, information science, bioinformatics
• Confidentiality degree: is not subject to a state or trade secret
• Publication form: electronic version available online
• WWW: URL
• RIV identification code: RIV/00216224:14330/17:00097217
• Organization unit: Faculty of Informatics
• ISBN: 978-1-5090-1171-1
• ISSN: 1945-7928
• Doi: http://dx.doi.org/10.1109/ISBI.2017.7950719
• UT WoS: 000414283200265
• Keywords in English: image warping; image interpolation; medical imaging; non-rigid registration
• Tags: firank_B

Abstract

Fast and accurate registration of image data is a key component of computer-aided medical image analysis. Instead of performing the registration directly on the input images, many algorithms compute the transformation using a sparse representation extracted from the original data. However, in order to apply the resulting transformation onto the original images, a dense deformation field has to be reconstructed using a suitable inter-/extra-polation technique. In this paper, we employ the radial basis function (RBF) to reconstruct the dense deformation field from a sparse transformation computed by a model-based registration. Various kernels are tested using different scenario. The dense deformation field is used to warp the source image and compare it quantitatively to the target image using two different metrics. Moreover, the influence of the number and distribution of the control points required by the RBF is studied via two different scenarios. Beside the accuracy, the performance of the method accelerated using a GPU is reported.

Links

• MUNI/A/0897/2016, interní kód MU: Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace VI.

Investor: Masaryk University, Category A