Scottish Radiological Society Spring Meeting 2021 May 14, 2021 09:00 AM - 05:00 PM — Virtual Meeting (online)
SINAPSE Virtual Happy Hour May 19, 2021 04:30 PM - 05:30 PM — Virtual Happy Hour (online)
9th Annual Scottish Radiotherapy Research Forum Jun 03, 2021 12:30 PM - 05:00 PM — Virtual Meeting (online)
Scottish Dementia Research Consortium Annual Conference 2021 Jun 16, 2021 10:00 AM - 03:30 PM — Virtual Meeting (online)
Medical Imaging Convention [rescheduled] Sep 15, 2021 - Sep 16, 2021 — National Exhibition Centre, Birmingham, England


SINAPSE experts from around Scotland have developed ten online modules designed to explain medical imaging. They are freely available and are intended for non-specialists.

Edinburgh Imaging Academy at the University of Edinburgh offers the following online programmes through a virtual learning environment:

Neuroimaging for Research MSc/Dip/Cert

Imaging MSc/Dip/Cert

PET-MR Principles & Applications Cert

Applied Medical Image Analysis Cert

Online Short Courses

Accurate attenuation correction in PET using short transmission scans and consistency information

Author(s): A. Welch, W. Hallett, P. Marsden, A. Bromiley

In this study we show how the consistency conditions of the Radon transform can be used to aid attenuation correction in PET using short transmission scans. The technique is expected to be useful in situations where limited time is available for transmission imaging (e.g. wholebody PET). The proposed method uses two-minute transmission scans that are reconstructed and then segmented into regions of uniform attenuation. Consistency information is used to determine the thresholds for segmentation of the transmission image and the attenuation coefficients. In particular a downhill simplex algorithm is used to find the parameters that are most consistent with the measured emission data. The main advantage of the proposed technique over conventional segmentation methods (which work purely on the transmission data) is that the emission data are used to drive the segmentation process. Therefore, the technique should produce the attenuation image that is most appropriate for attenuation correction. The algorithm is tested using simulated data and compared with an adaptive thresholding technique using clinical PET data. The results show that the method produces reconstructed images with similar accuracy and noise levels to those obtained using a 10 minute transmission scan. The results also show that the proposed technique has some advantages over the adaptive thresholding technique when imaging the abdomen. We conclude that the proposed technique may provide a viable means of producing quantitatively accurate whole-body PET images in a clinically feasible time.

Full version: Available here

Click the link to go to an external website with the full version of the paper

ISBN: 1082-3654
Publication Year: 2002
Periodical: 2001 Ieee Nuclear Science Symposium, Conference Records, Vols 1-4
Periodical Number:
Pages: 1449-1453
Author Address: