1999
DOI: 10.1002/(sici)1522-2586(199904)9:4<519::aid-jmri3>3.0.co;2-m
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Quantitative follow-up of patients with multiple sclerosis using MRI: Technical aspects

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Cited by 95 publications
(34 citation statements)
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“…Heterogeneity of etiology in the mobility impaired group (e.g., co-morbidity, sub-clinical disease) may also explain the absence of inter-group differences in WMSA accrual. Finally, while there were a number of subjects and controls with small increases of WMSA, there were none with decreases in WMSA as has been reported in multiple sclerosis which is consistent with a difference in the underlying pathologic process (autoimmune vs. microvascular) [17].…”
Section: Discussionmentioning
confidence: 99%
“…Heterogeneity of etiology in the mobility impaired group (e.g., co-morbidity, sub-clinical disease) may also explain the absence of inter-group differences in WMSA accrual. Finally, while there were a number of subjects and controls with small increases of WMSA, there were none with decreases in WMSA as has been reported in multiple sclerosis which is consistent with a difference in the underlying pathologic process (autoimmune vs. microvascular) [17].…”
Section: Discussionmentioning
confidence: 99%
“…A further improvement in the reproducibility of WM lesion segmentation could be achieved by the simultaneous automated analysis of different MR studies of the same patient, as recently proposed (22,23). Improvement and routine utilization of automated time-saving methods will have to be pursued, since radiologists' time is a substantial component of the cost of a lengthy evaluation procedure.…”
Section: Discussionmentioning
confidence: 99%
“…The operator can decrease the value of k to increase the specificity of the algorithm; in this manner, only lesions with a large overlapping surface are considered the same. Different software and algorithms were introduced for automatic or semiautomatic detection or segmentation of MS lesions on unenhanced or contrast-enhanced MR images [3,[16][17][18][19][20]. One of these papers explores the time domain (i.e.…”
Section: Discussionementioning
confidence: 99%
“…L'operatore esperto può ulteriormente ridurre il valore di k per aumentare la specificità: in tal modo solo lesioni con grande overlapping saranno considerate come "la stessa" lesione. In letteratura sono stati presentati numerosi software e algoritmi per il riconoscimento o la segmentazione automatica o semiautomatica di lesioni SM alle scansioni RM pree postcontrasto [3,[16][17][18][19][20]. Una di queste esperienze esplora il dominio del tempo (ovvero le variazioni di intensità del pixel nel tempo) dopo procedure di post-processing, per mantenere stabile la posizione tridimensionale di ciascuna lesione ("brightness normalization, field bias correction, brain masking") [20].…”
Section: Discussioneunclassified