Laser Speckle Contrast Imaging, or LSCI, is a non-invasive, fast, cheap and easy to use perfusion imaging method which has shown potential in many clinical applications. One problem with the technology however is its limiting field-of-view which results in the physician having to examine and work with multiple images instead of one. In this thesis, a real-time image stitching system was designed with the aim of extending the field of view of LSCI instruments. The system implements a feature-based approach to image registration (SIFT), brute-force matching of features and feather blending. The image transformation is estimated using a statistical methodology (RANSAC) and then validated to improve usability. The evaluation of the system is focused on three key factors: running time of the image stitching algorithm, robustness relative-image pair overlap and usability. The results show that stitching of perfusion images is instantaneous pursuant to human perception for lower resolution images and takes 1.5 to 3.5 seconds for larger resolutions. Stitching is robust given an image-pair overlap of 10% or more, however, temporal noise and sparse environments in perfusion images negatively impacts the systems accuracy and usability. In conclusion, given a contrast-rich region, the system is accurate and easy-to-use such that an untrained user can construct a visually-pleasing panorama that consists of 24 stitched images in approximately 7 minutes.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:ltu-105234 |
| Date | January 2024 |
| Creators | Petersson Fors, William |
| Publisher | Luleå tekniska universitet, Institutionen för system- och rymdteknik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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