The DCE-MRI data were analyzed using Omni-Kinetic software (version 1.0; GE Healthcare), with the dual-compartment pharmacokinetic model of Modified Tofts, as described previously (12 (link),19 (link)). Filice and Crisi (28 (link)) selected the superior sagittal sinus as their venous input function as it allowed for partial volume effects to be avoided on account of artery pulse; this was adopted in the present study and used as the venous input function. The Ktrans, backflux rate (kep), and fractional volume (ve) maps were generated using Omni-Kinetic software, and the highest permeability areas of the tumor entity and peritumor edema were selected as the ROI [tumor ROI area, between 5 and 10 mm2; peritumor edema determined around the tumor, 1–2 cm away from the margin of tumor entity (the boundary of strengthen region), with an area <10 mm2). Large vessels and necrosis were avoided in ROI placement. A total of 3 ROIs were selected and the mean value was calculated.
Omni kinetic software
Manufactured by GE Healthcare
Sourced in China
Omni-Kinetic software is a lab equipment product developed by GE Healthcare. It is designed to facilitate the analysis and interpretation of kinetic data collected from various laboratory experiments.
Automatically generated - may contain errors
Lab products found in correlation
2 protocols using omni kinetic software
1
Quantifying Tumor Perfusion Using DCE-MRI
2
Automated DCE-MRI Prostate Lesion Analysis
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The T1 mapping and DCE-MRI data were transferred into the Omni-Kinetic software (GE Healthcare, China) to obtain the perfusion and permeability parameters of the lesions. The extended tofts linear model and the population arterial input function (AIF) embedded in the software were used for analysis, and the following quantitative parameters maps were obtained automatically: Ktrans, Kep, and Ve. For patients with positive DCE enhancement, a series of ROIs of lesions were manually delineated slice by slice using ITK-SNAP on the eighth dynamic contrast images. The eighth contrast images were chosen because that the lesions showed significantly enhancement while the entire prostate background was not enhanced at this stage. While for patients with negative DCE enhancement, it is necessary to refer to the T2WI and DWI/ADC sequence to locate the lesion on the enhancement images (Figure 2
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