Why the study?
Does an automatic contouring method based on fuzzy logic improve the estimation of aortic compliance from cine-MRI compared to manual tracing?
Does an automatic contouring method based on fuzzy logic improve the estimation of aortic compliance from cine-MRI compared to manual tracing?
An automatic contouring method using fuzzy logic on cine-MRI can estimate aortic compliance while avoiding the interobserver variability of manual tracing.
May reduce interobserver variability in cine-MRI aortic compliance estimates; leaves open prospective validation before clinical use.
RATIONALE AND OBJECTIVES: Aortic compliance is defined as the relative change in aortic cross-sectional area divided by the change in arterial pressure. Magnetic resonance imaging (MRI) is a useful imaging modality for the noninvasive evaluation of aortic compliance. However, manual tracing of the aortic contour is subject to important interobserver variations. To estimate the aortic compliance from cine-MRI, a method based on fuzzy logic theory was elaborated. MATERIALS AND METHODS: Seven healthy volunteers and eight patients with Marfan syndrome were examined using an ECG gated cine-MRI sequence. The aorta was imaged in the transverse plane at the level of the pulmonary trunk. A method based on fuzzy logic was developed to automatically detect the aortic contour. RESULTS: Through our robust automatic contouring method, the calculation of aortic cross-sectional areas allows an estimation of the aortic compliance. CONCLUSION: The aortic compliance can be obtained from a fuzzy logic based automatic contouring method, thereby avoiding the important interobserver variation often associated with manual tracing.
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Lalande et al. (2002) studied this question.
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