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These lesions exhibited a low target to background contrast of about 2 and, more important, only a small SUV elevation above background of about 1.5 SUV units.
This may be of particular relevance for low-contrast lesions elsewhere in the body, such as the abdomen, which do not have the inherent high lesion to background contrast of lung lesions.
A likely explanation is the higher imaging-resolution -we used a 55-times smaller voxel size (voxel volume 5.8 nanoliter)- and the higher lymph node to background contrast of the fat-suppressed 3D T1W data set we acquired.
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The comparable, enhanced target-to-background contrast of the three parametric images relative to the uptake image is obvious.
Seven small spheres with inner diameters ranging from 3.95 up to 15.43 mm were imaged in a Jaszczak ECT Phantom, in air, in a cold background, and with sphere to background contrast ratios of 15:1 down to 1.88 1.
Then in cold background, with the main phantom chamber filled with non-radioactive water and finally with four sphere to background contrast ratios of 15:1, 7.5 1, 3.75:1, and 1.88 1.
In fact, debris ingested by turtles was significantly different from beach debris for all environmental variables investigated with the exception of background contrast and the contribution of the UV cone (Table 1).
The EORTC and NCI guidelines both recommend an optimum scanning time of 50 70 min (Young et al, 1999; Shankar et al, 2006), and this is usually the time taken for clinical scans as a best compromise between tumour to background contrast and decay of tracer.
The present limitations of line-scanning in terms of background, contrast and speckle noise are discussed.
High 'target to background' contrast benefits from rapid onset of binding at target combined with swift clearance from the blood pool.
In this context, the advent of more powerful image analysis segmentation algorithms based on color, intensity, texture, and background contrast, coupled with fractal analysis of AgNOR regions might offer supplemental valuable classifiers for future machine-based diagnostic algorithms that will help the pathologist with classifying benign, atypical, and malignant prostate lesions.
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