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Proceedings Paper

Fourier-domain based datacentric performance ranking of competing medical image processing algorithms
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Paper Abstract

To accomplish a given computational task, a number of algorithmic and heuristic approaches can be employed to act upon the ever-varying input data. Depending upon the assumptions made regarding the data, the algorithm and the task, the end result from each of these approaches could be different. Currently, there does not exist an automatic, robust, precise, simple, and algorithm-independent measure to rate the accuracy of a multiplicity of algorithms to accomplish a given task on the given data. Lack of such a measure severely restricts the integration of "datacentric" computational tools. This paper proposes a Fourier-domain based method to robustly assess and rank the accuracy of a multiplicity of abstractions vis-a-vis the original data. The method is scalable across dimensions and data types and is blind to the task associated with the generation of the competing to-be-rated abstractions

Paper Details

Date Published: 21 March 2006
PDF: 10 pages
Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 614471 (21 March 2006); doi: 10.1117/12.653949
Show Author Affiliations
Srinivasan Rajagopalan, Mayo Clinic/Foundation (United States)
Richard Robb, Mayo Clinic/Foundation (United States)


Published in SPIE Proceedings Vol. 6144:
Medical Imaging 2006: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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