9 September 1994 Evaluation of gastric antral motility in four dimensions
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Proceedings Volume 2359, Visualization in Biomedical Computing 1994; (1994) https://doi.org/10.1117/12.185234
Event: Visualization in Biomedical Computing 1994, 1994, Rochester, MN, United States
Abstract
Gastric motion after the ingestion of a radioactively labeled standard meal was visualized using a triple headed gamma camera and dynamic SPECT acquisitions consisting of 30 scans of 6 s duration each. After the ingestion of a radiolabeled standard meal tomographic reconstruction produced, after prefiltering with a Metz filter, images of reasonable quality, in spite of the short acquisition time per view. Oblique slices rectangular to the longitudinal axis of the antrum were positioned employing 3D rendering techniques. These slices were extracted from the sequential volumes to produce time activity curves (TACs) of antral contractions. From the TACs the amplitudes and the frequencies of the antral contraction curves obtained from planar acquisitions, were markedly higher for the curves from the tomographic slices. This was due to the removal of oblique components of motion in the oblique slices. The effect of the long sampling interval of 6 seconds was checked on simulations using data from planar acquisitions and found to permit sampling of the antral waves with acceptable accuracy. 3D display of the stomach contributed to the anatomical knowledge since it showed clearly differences to the positions that would have been expected from conventional x-ray views. Antral contraction strength was not necessarily related with the rate of gastric emptying, which emphasizes the role of other factors, mainly the tone of the fundus, for the emptying process.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Helmar Bergmann, Greg Minear, Andrea Kugi, Georg Stacher, "Evaluation of gastric antral motility in four dimensions", Proc. SPIE 2359, Visualization in Biomedical Computing 1994, (9 September 1994); doi: 10.1117/12.185234; https://doi.org/10.1117/12.185234
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