Although both techniques are useful in evaluation of patients with suspected aortic graft infection, using the characteristic FDG uptake pattern described previously as a diagnostic criterion made the efficacy of FDG superior to that of CT in the diagnostic assessment of patients with suspected aortic graft infection.
Background-We explored the feasibility of measuring regional tracer activity concentrations and flow defects in myocardium of rats with a high spatial resolution small-animal PET system (microPET). Methods and Results-Myocardial images were obtained after intravenous 18 F-fluorodeoxyglucose ( 18 FDG) in 11 normal rats (group 1) and assembled into polar maps. Regional 18 F activity concentrations were measured in 9 regions of interest and compared with tissue activity concentrations measured by well counting. In another 9 rats (group 2), myocardial perfusion images were acquired with 13 N-ammonia at baseline and during coronary occlusion. On the polar maps recorded during coronary occlusion, the size of perfusion defects was measured as the myocardium with Ͻ50% of maximum activity and expressed as percent total myocardium and was correlated with the area at risk defined by postmortem staining. The diagnostic quality of 18 FDG and 13 N-ammonia microPET images was good to excellent; the images were easily assembled into polar maps. In group 1, regional 18 F concentrations by microPET and postmortem were correlated linearly (rϭ0.99; PϽ0.01 for average and rϭ0.97; PϽ0.01 for regional concentrations). In group 2, perfusion defect sizes by microPET and postmortem were correlated linearly (PϽ0.01; rϭ0.93).
Conclusions-The
Increased 18fluoro-2-deoxyglucose (FDG) uptake in the myocardium is frequently observed while performing clinical positron emission tomography (PET) body scans for oncology under fasting conditions. This article reviews the normal variations and abnormal appearances of myocardial FDG accumulation which are likely to be encountered in the routine PET studies. Knowledge about the myocardial glucose metabolism and specific abnormalities are indispensable in the interpretation of myocardial FDG uptake.
We introduce an inexpensive position input device called the FieldMouse, with which a computer can tell the position of the device on paper or any flat surface without using special input tablets or position detection devices. A FieldMouse is a combination of an ID recognizer like a barcode reader and a mouse which detects relative movement of the device. Using a FieldMouse, a user first detects an ID on paper by using the barcode reader, and then drags it from the ID using the mouse. If the location of the ID is known, the location of the dragged FieldMouse can also be calculated by adding the amount of movement from the ID to the position of the FieldMouse. Using a FieldMouse in this way, any flat surface can work as a pointing device that supports absolute position input, just by putting an ID tag somewhere on the surface. A FieldMouse can also be used for enabling a graphical user interface (GUI) on paper or on any flat surface by analyzing the direction and the amount of mouse movement after detecting an ID. In this paper, we introduce how a FieldMouse can be used in various situations to enable computing in real-world environments.
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