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This paper introduces a novel approach leveraging objective image qualityassessment (IQA) metrics to optimize the outcomes of traditional bicubic (BIC)image interpolation and interpolated scan conversion algorithms. Specifically,feature selection through line chart data visualization and computing the IQAmetrics scores are used to estimate the IQA-guided coefficient-k that up-datesthe traditional BIC algorithm weighting function. The resulting optimizedbicubic (OBIC) algorithm was subjectively and objectively evaluated usingnatural and ultrasound images. Results showed that the overall performance ofthe OBIC algorithm was equivalent to 92.22% of 180 occurrences when compared tothe BIC algorithm, while it was 57.22% of 180 occurrences when compared toother algorithms. On top of that, the OBIC interpolated scan conversionalgorithm generally produced crisper and better contrast cropped ultrasoundsectored images than the BIC algorithm, as well as other interpolated scanconversion algorithms mentioned.

Software Implementation of Optimized Bicubic Interpolated Scan Conversion in Echocardiography