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A semi‐automatic technique for measurement of arterial wall from black blood MRI
Author(s) -
Ladak Hanif M.,
Thomas Jonathan B.,
Mitchell J. Ross,
Rutt Brian K.,
Steinman David A.
Publication year - 2001
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.1368125
Subject(s) - operator (biology) , magnetic resonance imaging , arterial wall , shift operator , artificial intelligence , mathematics , biomedical engineering , medicine , nuclear medicine , computer science , radiology , compact operator , cardiology , biochemistry , chemistry , repressor , transcription factor , extension (predicate logic) , gene , programming language
Black blood magnetic resonance imaging (MRI) has become a popular technique for imaging the artery wall in vivo . Its noninvasiveness and high resolution make it ideal for studying the progression of early atherosclerosis in normal volunteers or asymptomatic patients with mild disease. However, the operator variability inherent in the manual measurement of vessel wall area from MR images hinders the reliable detection of relatively small changes in the artery wall over time. In this paper we present a semi‐automatic method for segmenting the inner and outer boundary of the artery wall, and evaluate its operator variability using analysis of variance (ANOVA). In our approach, a discrete dynamic contour is approximately initialized by an operator, deformed to the inner boundary, dilated, and then deformed to the outer boundary. A group of four operators performed repeated measurements on 12 images from normal human subjects using both our semi‐automatic technique and a manual approach. Results from the ANOVA indicate that the inter‐operator standard error of measurement (SEM) of total wall area decreased from 3.254 mm 2 (manual) to 1.293 mm 2 (semi‐automatic), and the intra‐operator SEM decreased from 3.005 mm 2 to 0.958 mm 2 . Operator reliability coefficients increased from less than 69% to more than 91% (inter‐operator) and 95% (intra‐operator). The minimum detectable change in wall area improved from more than 8.32 mm 2 (intra‐operator, manual) to less than 3.59 mm 2 (inter‐operator, semi‐automatic), suggesting that it is better to have multiple operators measure wall area with our semi‐automatic technique than to have a single operator make repeated measurements manually. Similar improvements in wall thickness and lumen radius measurements were also recorded. Since the semi‐automatic technique has effectively ruled out the effect of the operator on these measurements, it may be possible to use such techniques to expand prospective studies of atherogenesis to multiple centers so as to increase access to real patient data without sacrificing reliability.