Natalia, Friska and Meidia, Hira and Afriliana, Nunik and Young, Julio Cristian and Sudirman, Sud (2020) Contour evolution method for precise boundary delineation of medical images. TELKOMNIKA Telecommunication, Computing, Electronics and Control, 18 (3). ISSN 1693-6930
Full text not available from this repository.Abstract
Image segmentation is an important precursor to boundary delineation of medical images. One of the major challenges in applying automatic image segmentation in medical images is the imperfection in the imaging process which can result in inconsistent contrast and brightness levels, and low image sharpness and vanishing boundaries. Although recent advances in deep learning produce vast improvements in the quality of image segmentation, the accuracy of segmentation around object boundaries still requires improvement. We developed a new approach to contour evolution that is more intuitive but shares some common principles with the active contour model method. The method uses two concepts, namely the boundary grid and sparse boundary representation, as an implicit and explicit representation of the boundary points. We tested our method using lumbar spine MRI images of 515 patients. The experiment results show that our method performs up to 10.2 times faster and more flexible than the geodesic active contours method. Using BF-score contour-based metric, we show that our method improves the boundary accuracy from 74% to 84% as opposed to 63% by the latter method.
| Item Type: | Article |
|---|---|
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods 600 Technology (Applied Sciences) > 610 Medicine and Health > 611 Human Anatomy, Cytology, Histology 600 Technology (Applied Sciences) > 610 Medicine and Health > 612 Human Physiology 600 Technology (Applied Sciences) > 610 Medicine and Health > 617 Surgery, Regional Medicine, Dentistry, Ophthalmology, Otology, Audiology |
| Divisions: | Faculty of Engineering & Informatics > Informatics |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 06 Oct 2021 02:53 |
| Last Modified: | 11 Oct 2021 12:00 |
| URI: | https://kc.umn.ac.id/id/eprint/18548 |
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