Rapid registration of multimodal images using a reduced number of voxels

Xishi Huang; Nicholas A. Hill; Jing Ren; Terry M. Peters

doi:10.1117/12.653593

Translator Disclaimer

10 March 2006 Rapid registration of multimodal images using a reduced number of voxels

Xishi Huang, Nicholas A. Hill, Jing Ren, Terry M. Peters

Author Affiliations +

Proceedings Volume 6141, Medical Imaging 2006: Visualization, Image-Guided Procedures, and Display; 614116 (2006) https://doi.org/10.1117/12.653593
Event: Medical Imaging, 2006, San Diego, California, United States

Abstract

Rapid registration of multimodal cardiac images can improve image-guided cardiac surgeries and cardiac disease diagnosis. While mutual information (MI) is arguably the most suitable registration technique, this method is too slow to converge for real time cardiac image registration; moreover, correct registration may not coincide with a global or even local maximum of MI. These limitations become quite evident when registering three-dimensional (3D) ultrasound (US) images and dynamic 3D magnetic resonance (MR) images of the beating heart. To overcome these issues, we present a registration method that uses a reduced number of voxels, while retaining adequate registration accuracy. Prior to registration we preprocess the images such that only the most representative anatomical features are depicted. By selecting samples from preprocessed images, our method dramatically speeds up the registration process, as well as ensuring correct registration. We validated this registration method for registering dynamic US and MR images of the beating heart of a volunteer. Experimental results on in vivo cardiac images demonstrate significant improvements in registration speed without compromising registration accuracy. A second validation study was performed registering US and computed tomography (CT) images of a rib cage phantom. Two similarity metrics, MI and normalized crosscorrelation (NCC) were used to register the image sets. Experimental results on the rib cage phantom indicate that our method can achieve adequate registration accuracy within 10% of the computation time of conventional registration methods. We believe this method has the potential to facilitate intra-operative image fusion for minimally invasive cardio-thoracic surgical navigation.

Citation Download Citation

Xishi Huang, Nicholas A. Hill, Jing Ren, and Terry M. Peters "Rapid registration of multimodal images using a reduced number of voxels", Proc. SPIE 6141, Medical Imaging 2006: Visualization, Image-Guided Procedures, and Display, 614116 (10 March 2006); https://doi.org/10.1117/12.653593

ACCESS THE FULL ARTICLE