Int J Comput Assist Radiol Surg - A computerized MRI biomarker quantification scheme for a canine model of Duchenne muscular dystrophy.

Tópicos

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Resumo

RPOSE: Golden retriever muscular dystrophy (GRMD) is a widely used canine model of Duchenne muscular dystrophy (DMD). Recent studies have shown that magnetic resonance imaging (MRI) can be used to non-invasively detect consistent changes in both DMD and GRMD. In this paper, we propose a semiautomated system to quantify MRI biomarkers of GRMD.METHODS: Our system was applied to a database of 45 MRI scans from 8 normal and 10 GRMD dogs in a longitudinal natural history study. We first segmented six proximal pelvic limb muscles using a semiautomated full muscle segmentation method. We then performed preprocessing, including intensity inhomogeneity correction, spatial registration of different image sequences, intensity calibration of T2-weighted and T2-weighted fat-suppressed images, and calculation of MRI biomarker maps. Finally, for each of the segmented muscles, we automatically measured MRI biomarkers of muscle volume, intensity statistics over MRI biomarker maps, and statistical image texture features.RESULTS: The muscle volume and the mean intensities in T2 value, fat, and water maps showed group differences between normal and GRMD dogs. For the statistical texture biomarkers, both the histogram and run-length matrix features showed obvious group differences between normal and GRMD dogs. The full muscle segmentation showed significantly less error and variability in the proposed biomarkers when compared to the standard, limited muscle range segmentation.CONCLUSION: The experimental results demonstrated that this quantification tool could reliably quantify MRI biomarkers in GRMD dogs, suggesting that it would also be useful for quantifying disease progression and measuring therapeutic effect in DMD patients.

Resumo Limpo

rpose golden retriev muscular dystrophi grmd wide use canin model duchenn muscular dystrophi dmd recent studi shown magnet reson imag mri can use noninvas detect consist chang dmd grmd paper propos semiautom system quantifi mri biomark grmdmethod system appli databas mri scan normal grmd dog longitudin natur histori studi first segment six proxim pelvic limb muscl use semiautom full muscl segment method perform preprocess includ intens inhomogen correct spatial registr differ imag sequenc intens calibr tweight tweight fatsuppress imag calcul mri biomark map final segment muscl automat measur mri biomark muscl volum intens statist mri biomark map statist imag textur featuresresult muscl volum mean intens t valu fat water map show group differ normal grmd dog statist textur biomark histogram runlength matrix featur show obvious group differ normal grmd dog full muscl segment show signific less error variabl propos biomark compar standard limit muscl rang segmentationconclus experiment result demonstr quantif tool reliabl quantifi mri biomark grmd dog suggest also use quantifi diseas progress measur therapeut effect dmd patient

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