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SPECT Image Data Compression Using Optimal Sampling Schedule
Guo, Z.
In this paper, a time-domain image data compression approach is proposed which can be used to reduce the number of image frames required in tracer dynamic studies with single photon emission computed tomography (SPECT). This image data compression approach is based on an optimal sampling schedule (OSS) design technique which incorporates the characteristics of SPECT measurement and uses a new cost function and the Doptimal criterion. It can be used in obtaining measurements by a process of accumulation over a sequence of sampling intervals. A case study of the estimation of the binding potential (BP) using the tracer Iododexetimide(IDEX) and the three-parameter simplified reference tissue model is presented. Experimental results illustrate the proposed approach can not only greatly reduce the storage space and processing time but also maintain the precision of the parameter estimation.
Cite as: Guo, Z. (2003). SPECT Image Data Compression Using Optimal Sampling Schedule. In Proc. Pan-Sydney Area Workshop on Visual Information Processing (VIP2002), Sydney, Australia. CRPIT, 22. Jin, J. S., Eades, P., Feng, D. D. and Yan, H., Eds. ACS. 43.
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