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Fig. 3 | European Journal of Hybrid Imaging

Fig. 3

From: EANM procedural guidelines for myocardial perfusion scintigraphy using cardiac-centered gamma cameras

Fig. 3

Example of quality control screens of MPS acquisitions with IQ-SPECT. a Before starting the tomographic acquisition, the entire patient set-up adds just one additional step to identify the position of the heart on the touch screen patient positioning monitor. The patient is placed on the bed in either supine or prone position, arms up, and moved under the nuclear detectors until the heart is approximately centered in the axial direction. The center of the projection of the heart on each detector is marked on the patient positioning monitor, allowing for the calculation of the location of the patient’s heart in 3-dimensional space. This will become the center of the cardio-centric orbit. The acquisition can then be started. The best way to immediately assess the quality of an IQ-SPECT study data is to load the raw projection series into the syngo Viewing tab. The projection data from a patient that has been positioned correctly will show a magnified heart at the center of every image as in the above example labeled Raw Projection Series. b There is a simple method to determine whether sufficient counts have been collected to produce an acceptable result in the reconstructed images. Load the projection data into the syngo Viewing tab and advance through the images to view 18 as in the example image below. This is the projection which contains the LAO view of the heart. Under the tool’s drop-down menu choose Circle or Freehand. Draw an ROI over the lateral wall as shown in the image below. Image statistics within the ROI will be calculated. It is important that the mean counts in the ROI over the lateral wall be at least 9 counts. c Acquisitions acquired with SMARTZOOM collimators can only be corrected for motion using the dedicated automatic motion correction tool and mask method. The operator should first review the data and determine if motion correction is required. One important factor in successful motion correction is the placement of the mask. In cases of extreme motion, it is best to try and re-image the patient

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