Homographic Patch Feature Transform: A Robustness Registration for Gastroscopic Surgery.
Where this comes from
- Record sourced from PubMed, PMID 27054567.
- Also identified by DOI 10.1371/journal.pone.0153202 and PMC identifier 4824530.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Image registration is a key component of computer assistance in image guided surgery, and it is a challenging topic in endoscopic environments. In this study, we present a method for image registration named Homographic Patch Feature Transform (HPFT) to match gastroscopic images. HPFT can be used for tracking lesions and augmenting reality applications during gastroscopy. Furthermore, an overall evaluation scheme is proposed to validate the precision, robustness and uniformity of the registration results, which provides a standard for rejection of false matching pairs from corresponding results. Finally, HPFT is applied for processing in vivo gastroscopic data. The experimental results show that HPFT has stable performance in gastroscopic applications.
Medical subject headings
- Algorithms
- Gastroscopy
- Image Processing, Computer-Assisted
- Stomach
- Surgery, Computer-Assisted