论文标题
超声心动图中优化的双孔插值扫描转换的软件实现
Software Implementation of Optimized Bicubic Interpolated Scan Conversion in Echocardiography
论文作者
论文摘要
本文介绍了一种新型方法利用客观图像质量评估（IQA）指标，以优化传统的双色（BIC）图像插值和插值扫描转换算法的结果。具体而言，通过线图数据可视化和计算IQA指标得分的特征选择用于估计IQA引导的系数K，该系数k是更新的传统BIC算法加权函数。使用天然和超声图像对产生的优化双学算法（OBIC）算法进行了主观和客观评估。结果表明，与BIC算法相比，OBIC算法的总体性能相当于180例发生的92.22％，而与其他算法相比，180例发生的57.22％。最重要的是，与BIC算法相比，OBIC插值扫描转换算法通常产生更清晰，更好的对比度裁剪超声片段，以及其他插值扫描转换算法。
This paper introduces a novel approach leveraging objective image quality assessment (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 IQA metrics scores are used to estimate the IQA-guided coefficient-k that up-dates the traditional BIC algorithm weighting function. The resulting optimized bicubic (OBIC) algorithm was subjectively and objectively evaluated using natural and ultrasound images. Results showed that the overall performance of the OBIC algorithm was equivalent to 92.22% of 180 occurrences when compared to the BIC algorithm, while it was 57.22% of 180 occurrences when compared to other algorithms. On top of that, the OBIC interpolated scan conversion algorithm generally produced crisper and better contrast cropped ultrasound sectored images than the BIC algorithm, as well as other interpolated scan conversion algorithms mentioned.
