2000
DOI: 10.1117/12.383408
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<title>Characterization of stroke lesions using a histogram-based data analysis including diffusion- and perfusion-weighted imaging</title>

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Cited by 2 publications
(3 citation statements)
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“…Bolus track PWI was performed with 5 slices, SL = 7 mm, TE = 56 msec, time resolution 1 second, covering the extended periventricular and callosal lesions. Regional cerebral blood volume (rCBV) and mean transit time (MTT) were calculated using a non‐linear fit of a gamma‐variate with an additive linear component to the transient signal after administration of 20 mL Gadolinium, according to Rosen, et al and Grzesik, et al (13, 14). EPI images were registered using the software tool AIR to reduce intra‐measurement motions (15)…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Bolus track PWI was performed with 5 slices, SL = 7 mm, TE = 56 msec, time resolution 1 second, covering the extended periventricular and callosal lesions. Regional cerebral blood volume (rCBV) and mean transit time (MTT) were calculated using a non‐linear fit of a gamma‐variate with an additive linear component to the transient signal after administration of 20 mL Gadolinium, according to Rosen, et al and Grzesik, et al (13, 14). EPI images were registered using the software tool AIR to reduce intra‐measurement motions (15)…”
Section: Methodsmentioning
confidence: 99%
“…Segmented tissue was color‐encoded and overlaid on the original parameter images to control segmentation results. The technique is illustrated in more detail in Bernarding, et al and Grzesik, et al (11, 14). SE images served for diagnosis of blood brain barrier changes or parenchyma defects (T1w) and to differentiate EPI image distortions from pathologic regions (T2w)…”
Section: Methodsmentioning
confidence: 99%
“…More specifically, the exploration of higher dimensional histograms for discriminating tissue in ischemic stroke diagnosis was described by Grzesik et al [29]. They incorporate MR perfusion data and diffusion-weighted MR data in order to integrate the information from both imaging data.…”
Section: Combining Analysis and Visual Explorationmentioning
confidence: 99%