@article{MAKHILLIJTM20061219686,
    title = {The Improvement of An Acquirement Time For The Medical Images IRM
(Imagerie By Magnetic Resonance)},
    journal = {International Journal of Tropical Medicine},
    volume = {1},
    number = {2},
    pages = {81-87},
    year = {2006},
    issn = {1816-3319},
    doi = {ijtmed.2006.81.87},
    url = {https://makhillpublications.co/view-article.php?issn=1816-3319&doi=ijtmed.2006.81.87},
    author = {K. El Kourd,A. Khelifa and},
    keywords = {IRM,automatic method,S/B,time of acquirement,density of probability},
    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.}
    }