Renal DMSA scan morphology analysis using undecimated wavelet transform and isocontours
by Ana Gavrovska; Milorad Paskaš; Vladimir Kovačević; Irini Reljin
International Journal of Reasoning-based Intelligent Systems (IJRIS), Vol. 5, No. 1, 2013

Abstract: Signal and image processing tools open up opportunities to develop modules that can be interesting for supporting clinical decisions. In this paper, the aim is to develop an algorithm for providing better insight into renal scintigraphy scans using sparse transform such as discrete wavelet transform and isocontours. Renal 99mTc-DMSA scintigraphy scans are widely accepted as the most sensitive method for evaluating renal lesions and parenchymal damage like renal scars. An approach for improving DMSA scan analysis and regions of interest is presented from the aspect of visual inspection and relevant morphology information retrieval. For the purpose of testing archived scans are considered.

Online publication date: Wed, 17-Jul-2013

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