Life Sciences & Biotechnology
Title : | Development of Pedicle Screw navigation system to assist in Spine Surgery |
Area of research : | Life Sciences & Biotechnology |
Principal Investigator : | Dr. Shyamasunder N Bhat, Manipal Academy Of Higher Education, Karnataka |
Timeline Start Year : | 2023 |
Timeline End Year : | 2026 |
Contact info : | shyambhat.n@manipal.edu |
Equipments : | Lenova Workstation |
Details
Executive Summary : | MRI is essential for diagnosing and planning spine surgery, particularly for detecting spinal cord anomalies and syringomyelia. Preoperative MRI is used to diagnose these disorders, but the lack of intensity correspondence and nonlinear relationship between MR and C-Arm images makes it challenging to accurately target the target vertebral region during surgery. To address this, a uniform platform for MR-X-ray image registration is proposed. The registration accuracy depends on the extracted features of both images, with feature extraction playing a vital role in improving registration accuracy. The projection matrix maps 3D data to 2D data, ensuring the registration looks similar to the original data. To align the MR with the X-ray, feature extracted MR images are projected. This proposal aims to mitigate mismatch between anatomical regions of the spine acquired using MR and X-ray imaging via feature-based MR and C-Arm image registration. A feature extraction process is introduced before image projection, extracting vertebrae and/or vertebral cortex first in MR images and then checking for similarity with radiographic vertebral regions. The feature-based registration technique is adopted for faster and accurate image registration among other registration algorithms. Different principles are used for acquisition of both images, and the similarity metric is investigated to provide robustness to content mismatch and fasle optimas. |
Co-PI: | Dr. Anitha H, Manipal Academy Of Higher Education, Karnataka-576104, Dr. Raghuraj Suresh Kundangar, Manipal Academy Of Higher Education, Karnataka-576104 |
Total Budget (INR): | 21,87,100 |
Organizations involved