Modeling of radiographic retrievals: a Markov chain analysis

Samuel J. Dwyer III; Brent K. Stewart; Thomas A. Spraggins; Denise R. Aberle; Maria Ines Boechat; James W. Sayre; Lawrence Yao M.D.; Donna M. Marciano; Sandra L. Johnson

doi:10.1117/12.152873

8 September 1993 Modeling of radiographic retrievals: a Markov chain analysis

Samuel J. Dwyer III, Brent K. Stewart, Thomas A. Spraggins, Denise R. Aberle, Maria Ines Boechat, James W. Sayre, Lawrence Yao M.D., Donna M. Marciano, Sandra L. Johnson

Author Affiliations +

Proceedings Volume 1899, Medical Imaging 1993: PACS Design and Evaluation; (1993) https://doi.org/10.1117/12.152873
Event: Medical Imaging 1993, 1993, Newport Beach, CA, United States

Abstract

A Markov chain model is studied and evaluated in determining the retrieval rates of an analog film library and an electronic grayscale display system in an image management network (PACS). This model provides a reasonable representation of retrieval rates since Markov chains depend only upon the current and previous state of the chain. The model requires identification of the states of the chain, one-step transition probabilities between the states, and the initial probabilities of occurrence of the states. The use of the model is demonstrated with three examples. The results of the model are in agreement with measured data.

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Samuel J. Dwyer III, Brent K. Stewart, Thomas A. Spraggins, Denise R. Aberle, Maria Ines Boechat, James W. Sayre, Lawrence Yao M.D., Donna M. Marciano, and Sandra L. Johnson "Modeling of radiographic retrievals: a Markov chain analysis", Proc. SPIE 1899, Medical Imaging 1993: PACS Design and Evaluation, (8 September 1993); https://doi.org/10.1117/12.152873

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