C11523: Accurate Image Registration Method for Anatomy Changes Between ScansNovelty:
Fast deformable image registration that can accurately account for tissues and materials excised or introduced between image acquisition
Value Proposition:
Deformable image registration plays critical role in image-guided surgery by linking images taken at various time intervals. However, current methods do not account for tissues and materials removed (or introduced) between image scans, resulting in inaccurate images. This invention features “extra-dimensional” deformations, enabling fast and precise image registration which accounts for patient anatomy changes between scans.Other advantages include:
• Explicit modeling diminishes error introduced to other parts of the body by excision
• Iterative intensity matching allows the use of multimodality imaging
• Solves Critical augmentation to guidance surgery where excision of target tissue is the primary task.
Technical Details:
Johns Hopkins researchers developed a fast and accurate method for deformable image registration that can account for anatomy change between pre- and post-operative image scans. Existing deformable registration methods generally fail to account for tissue excised between image acquisitions and typically simply "move" voxels within the images with no ability to account for anatomical change between scans. In this method, extra dimension is added during the registration process to act as a sink for voxels removed during the course of the procedure.
Looking for Partners:
To develop and commercialize the technology as an improved method for deformable image registration.
Stage of Development:
Prototype testing
Data Availability:
In cadaver study, the invention performed better than conventional method in terms of excision sensitivity without sacrificing specificity.
Publications/Associated Cases:
Proc. SPIE 2011; 7964(1): 796404-796404-9
Int J Radiation Oncol Biol Phys, Vol. 86, No. 3, pp. 395-397, 2013
