Intra-operative ultrasound to MRI fusion with a public multimodal discrete registration tool

Mattias P. Heinrich*

*Corresponding author for this work


We present accurate results for multi-modal fusion of intra-operative 3D ultrasound and magnetic resonance imaging (MRI) using the publicly available and robust discrete registration approach deeds. After pre-processing the scans to have isotropic voxel sizes of 0.5 mm and a common coordinate system, we run both linear and deformable registration using the self-similarity context metric. We use default parameters that have previously been applied for multi-atlas fusion demonstrating the generalisation of the approach. Transformed landmark locations are obtained by either directly applying the nonlinear warp or fitting a rigid transform with six parameters. The two approaches yield average target registration errors of 1.88 mm and 1.67 mm respectively on the 22 training scans of the CuRIOUS challenge. Optimising the regularisation weight can further improve this to 1.62 mm (within 0.5 mm of the theoretical lower bound). Our findings demonstrate that in contrast to classification and segmentation tasks, multimodal registration can be appropriately handled without designing domain-specific algorithms and without any expert supervision.

Original languageEnglish
Title of host publicationPOCUS 2018, BIVPCS 2018, CuRIOUS 2018, CPM 2018: Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation
EditorsDanail Stoyanov, Zeike Taylor, Stephen Aylward, João Manuel R.S. Tavares, Yiming Xiao, Amber Simpson, Anne Martel, Lena Maier-Hein, Shuo Li, Hassan Rivaz, Ingerid Reinertsen, Matthieu Chabanas, Keyvan Farahani
Number of pages6
Volume11042 LNCS
PublisherSpringer, Cham
Publication date15.09.2018
ISBN (Print)978-3-030-01044-7
ISBN (Electronic)978-3-030-01045-4
Publication statusPublished - 15.09.2018
Eventthe 21st International Conference on Medical Imaging and Computer-Assisted Intervention - Granada, Spain
Duration: 16.09.201820.09.2018
Conference number: 218619


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