Intensity-Based Registration of Freehand 3D Ultrasound and CT-scan Images of the Kidney

TL;DR

This paper introduces a method for registering pre-operative CT scans with intra-operative ultrasound slices of the kidney, using intensity-based similarity measures and rigid transformations to improve surgical guidance.

Contribution

The paper proposes a novel intensity-based registration approach combining correlation ratio and non-derivative optimization for aligning US and CT kidney images without organ deformation assumptions.

Findings

Correlation ratio improves registration accuracy.

Method achieves comparable accuracy to surface registration.

Results demonstrate good repeatability of the registration process.

Abstract

This paper presents a method to register a pre-operative Computed-Tomography (CT) volume to a sparse set of intra-operative Ultra-Sound (US) slices. In the context of percutaneous renal puncture, the aim is to transfer planning information to an intra-operative coordinate system. The spatial position of the US slices is measured by optically localizing a calibrated probe. Assuming the reproducibility of kidney motion during breathing, and no deformation of the organ, the method consists in optimizing a rigid 6 Degree Of Freedom (DOF) transform by evaluating at each step the similarity between the set of US images and the CT volume. The correlation between CT and US images being naturally rather poor, the images have been preprocessed in order to increase their similarity. Among the similarity measures formerly studied in the context of medical image registration, Correlation Ratio (CR) turned out to be one of the most accurate and appropriate, particularly with the chosen non-derivative minimization scheme, namely Powell-Brent's. The resulting matching transforms are compared to a standard rigid surface registration involving segmentation, regarding both accuracy and repeatability. The obtained results are presented and discussed.