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1080 33 |
Ultima descărcare din IBN: 2024-06-11 09:46 |
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004.932:61 (2) |
Прикладные информационные (компьютерные) технологии. Методы основанные на применении компьютеров (449) |
Mедицинские науки (11480) |
SM ISO690:2012 COSTIN, Hariton-Nicolae, BEJINARIU, Silviu-Ioan. Medical Image Registration by means of a Bio-Inspired Optimization Strategy. In: Computer Science Journal of Moldova, 2012, nr. 2(59), pp. 178-202. ISSN 1561-4042. |
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Computer Science Journal of Moldova | ||||||
Numărul 2(59) / 2012 / ISSN 1561-4042 /ISSNe 2587-4330 | ||||||
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CZU: 004.932:61 | ||||||
Pag. 178-202 | ||||||
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Medical imaging mainly treats and processes missing, ambiguous, complementary, redundant and distorted data. Biomedical image registration is the process of geometric overlaying or alignment of two or more 2D/3D images of the same scene, taken at different time slots, from different angles, and/or by different acquisition systems. In medical practice, it is becoming increasingly important in diagnosis, treatment planning, functional studies, computer-guided therapies, and in biomedical research. Technically, image registration implies a complex optimization of different parameters, performed at local or/and global levels. Local optimization methods frequently fail because functions of the involved metrics with respect to transformation parameters are generally nonconvex and irregular. Therefore, global methods are often required, at least at the beginning of the procedure. In this
paper, a new evolutionary and bio-inspired approach- bacterial foraging optimization - is adapted for single-slice to 3-D PET and CT multimodal image registration. Preliminary results of optimizing the normalized mutual information similarity metric
validated the efficacy of the proposed method by using a freely available medical image database. |
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Cuvinte-cheie medical imaging, image registration, soft computing, evolutionary strategies, bacterial foraging algorithm |
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