Authors : K. El Kourd , A. Khelifa and A. Merazgal
Abstract: We present in this article the improvement of an acquirement time for the medical images IRM. This method helps to detect the lesions just as although the physicians in the 87% of the cases. With regard to the dimension of the lesion, the development of the techniques of classification detects the lesions whose minimal dimension is of 10 pixels undoubtedly (10x10). For the lesions of smaller measurements, the results are variable but important progress are now achieved. It can influence the quality of the RMN picture and therefore to lead a diagnostic more reliable of the illness (newborn Tumor, sclerosis in plate, other degenerative lesions) in the case of cerebral pictures in relation to the rays `x`. to improve the time of acquirement that is function of S/B, we intend to improve the S/B report, while reducing the time of repetitions of the impulses of rephrasing (TR)(echo - spin), TE:S/B= f(TE, TR ).The S/B is used to express the relative contributions of the signal and the uncertain signals (noise) to the detected signal. Our goal, in this work is the improvement of the acquirement time, by software of automatic classification, what is going to create distinct zones according to the structure of cloths. These zones would generate some clusters (classes) distinct: All anomaly in this classification can be interpreted as the presence of a pathology(ill) and his/her/its made picture in optimized one time.
K. El Kourd , A. Khelifa and A. Merazgal , 2006. The Improvement of An Acquirement Time For The Medical Images IRM (Imagerie By Magnetic Resonance) . International Journal of Tropical Medicine, 1: 81-87.