Paper
12 April 2000 Registration of 3D tracked ultrasonic spinal images to segmented CT images for technology-guided therapy
Diane M. Muratore, Jeannette L. Herring, Benoit M. Dawant, Robert L. Galloway Jr.
Author Affiliations +
Abstract
As a prerequisite to performing minimally-invasive spinal surgery (MISS) with technology-guided therapy (TGT), researchers at Vanderbilt University have proposed to mathematically align the physical space of the patient with preoperative images through a surface-based registration. In order to support closed-back spinal surgeries, we have selected a non-invasive, portable imaging modality for obtaining intra-operative images, namely ultrasound (U/S). The preliminary work for the application of TGT to spinal cases has been performed on a spine phantom, scanned with an optically-tracked U/S transducer. The lumbar vertebral surface was extracted from the U/S images, and the surface pixels were converted into 3D physical-space coordinates. This set of U/S surface points was divided into a test set and a target set to be used in registration and error measurement, respectively. The test set of U/S points was registered to segmented CT spinal images of the same phantom spine using a modification of the Besl-McKay Iterative Closest Point algorithm. In a qualitative analysis of the registration, the results look favorable. The U/S points closely align with the corresponding CT surface in every image slice. By incorporating TGT into minimally-invasive spinal surgeries, the procedures are expected to yield reduced injury to normal spinal tissue and hence quicker recovery time for the patient.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Diane M. Muratore, Jeannette L. Herring, Benoit M. Dawant, and Robert L. Galloway Jr. "Registration of 3D tracked ultrasonic spinal images to segmented CT images for technology-guided therapy", Proc. SPIE 3982, Medical Imaging 2000: Ultrasonic Imaging and Signal Processing, (12 April 2000); https://doi.org/10.1117/12.382251
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KEYWORDS
Image registration

Transducers

Image segmentation

Computed tomography

Surgery

3D image processing

Spine

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