28 research outputs found

    КОЛИЧЕСТВЕННАЯ ОЦЕНКА НЕРВНО-МЫШЕЧНЫХ НАРУШЕНИЙ НА ОСНОВЕ ТЕКСТУРНОГО АНАЛИЗА ИЗОБРАЖЕНИЙ МАГНИТНО-РЕЗОНАНСНОЙ ТОМОГРАФИИ

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    Results on development of the basic concept of the medical image analysis methodology are presented. The techniques used in the research are based on adaptation and utilization of the gene-ralized image features for quantitative interpretation of muscles on nuclear magnetic resonance im-ages.Предлагаются результаты исследований по использованию базовой концепции методики ана-лиза медицинских изображений посредством адаптации универсальных дескрипторов изображений и их использования для количественной интерпретации областей мышц на изображениях магнитно-резонансной томографии

    APPLICATION OF TEXTURE ANALYSIS TECHNIQUES TO NMR IMAGES FOR QUANTITATIVE ASSESSMENT OF MUSCLE DISORDERS

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    Results on development of the basic concept of the medical image analysis methodology are presented. The techniques used in the research are based on adaptation and utilization of the gene-ralized image features for quantitative interpretation of muscles on nuclear magnetic resonance im-ages

    Quantitative NMRI and NMRS identify augmented disease progression after loss of ambulation in forearms of boys with Duchenne muscular dystrophy

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    International audienceQuantitative NMRI and (31) P NMRS indices are reported in the forearms of 24 patients with Duchenne muscular dystrophy (DMD) (6-18 years, 14 non-ambulant) amenable to exon 53 skipping therapy and in 12 age-matched male controls (CONT). Examinations carried out at 3 T comprised multi-slice 17-echo measurements of muscle water T2 and heterogeneity, three-point Dixon imaging of fat fraction in flexor and extensor muscles (FLEX, EXT), and non-localised spectroscopy of phosphate metabolites. We studied four imaging indices, eight metabolic ratios combining ATP, phosphocreatine, phosphomonoesters and phosphodiesters, the cytosolic inorganic phosphate (Pia ) and an alkaline (Pib ) pool present in dystrophic muscle, and average pH. All indices differed between DMD and CONT, except for muscle water T2 . Measurements were outside the 95th percentile of age-matched CONT values in over 65% of cases for percentage fat signal (%F), and in 78-100% of cases for all spectroscopic indices. T2 was elevated in one-third of FLEX measurements, whereas %pixels > 39 ms and T2 heterogeneity were abnormal in one-half of the examinations. The FLEX muscles had higher fat infiltration and T2 than EXT muscle groups. All indices, except pH, correlated with patient age, although the correlation was negative for T2 . However, in non-ambulant patients, the correlation with years since loss of ambulation was stronger than the correlation with age, and the slope of evolution per year was steeper after loss of ambulation. All indices except Pi/gATP differed between ambulant and non-ambulant patients; however, T2 and %pixels > 39 ms were highest in ambulant patients, possibly owing to the greater extent of inflammatory processes earlier in the disease. All other indices were worse in non-ambulant subjects. Quantitative measurements obtained from patients at different disease stages covered a broad range of abnormalities that evolved with the disease, and metabolic indices were up to 10-fold above normal from the onset, thus establishing a variety of potential markers for future therapy. Copyright (c) 2015 John Wiley & Sons, Ltd

    MRI texture analysis of GRMD dogs using orthogonal moments : a preliminary study.

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    International audienceMagnetic resonance image texture analysis (MRI-TA) has been already demonstrated as a powerful tool to extract image information better than visual examination of grey levels. Human muscular dystrophy is a disease of which diagnosis is rather easy but it remains a lack of atraumatic methods for its follow-up as well as for the management of treatments presently in progress. MRI appears to be a potential tool for disease follow-up and treatment monitoring. The present study is part of the European project MYO-MRI (http://myo-mri.eu/) aimed at improving diagnosis and understanding of muscle pathology. This paper focuses on the use of Legendre and Zernike moment-based texture analysis of MRI T2-weighted images to follow from 2 to 14 months 5 healthy and 5 Golden Retriever Muscular Dystrophy Dogs (GRMD), acknowledged to be the most accurate animal model available for human Duchenne Muscular Dystrophy. Regions-Of-Interest (ROIs) were characterized by moments and the features so extracted were analyzed by Principal Component Analysis and classified by means of Support Vector Machine. The preliminary results show relevant discriminations between dogs populations in reference to disease status and evolution
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