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1 June 1991 Optimization of morphological structuring elements for angiogram enhancement
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Morphological image processing (MORPH) is a useful technique for angiogram enhancement. We compare the technique with digital subtraction angiography (DSA) by viewing the filtering operation as the approximation of the mask image in DSA processing. Viewing the enhancement process in this manner allows us to judge the performance of the filter by measuring the RMS error between the DSA and MORPH images. By computing the error for a wide variety of structuring element (SE) shapes and sizes, we are able to pick the optimal SE as the one with minimum error. Two shapes of SEs are under investigation: ellipsoidal and an approximation to this, called the separable ellipsoid, obtained by dilating two one-dimensional elliptical SEs aligned in the row and column directions. The separable ellipsoid gives comparable results to those of the ellipsoid and allows a significant reduction in the computational time.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Keith M. Andress and David L. Wilson "Optimization of morphological structuring elements for angiogram enhancement", Proc. SPIE 1445, Medical Imaging V: Image Processing, (1 June 1991);

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