Characterization of Stroke Lesions Using a Histogram-Based Data Analysis Including Diffusion- and Perfusion-Weighted Imaging
نویسندگان
چکیده
Diffusionand perfusion-weighted magnetic resonance imaging (DWI, PWI) allows the arly diagnosis of ischemic brain injury. Regions with pathologic apparent diffusion coefficients (ADC) mismatching w ith pathologic mean transit imes (MTT) or relative cerebral blood volum e (rCBV) are thought o correlate with tissues that can be saved by appropria te treatment. Ten patients with cerebral ischemia were xamined. Combining different information (T2w, DWI, ADC, rCBV, MTT) into multidimensional histograms allowed the segmentation of ischemic and unaffected tissues and overcame problems with strongly fluctuating parameters. Correlating A DC, T2w, and rCBV with clinical symptoms allowed the estimation of age and perfusion state of lesions.
منابع مشابه
Histogram-based characterization of healthy and ischemic brain tissues using multiparametric MR imaging including apparent diffusion coefficient maps and relaxometry.
Decreased, renormalized, or increased values of the calculated apparent diffusion coefficient (ADC) are observed in stroke models. A quantitative description of corresponding tissue states using ADC values may be extended to include true relaxation times. A histogram-based segmentation is well suited for characterizing tissues according to specific parameter combinations irrespective of the het...
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