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Quality assessment of compressed cardiac MRI. Effect of lossy compression on computerized physiological parameters

机译:压缩心脏MRI的质量评估。有损压缩对计算机生理参数的影响

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With the increasing number of medical imaging modalities, compressing digital medical images can facilitate their transmission and storage. This paper evaluates and compares two lossy compression methods: JPEG and wavelet, applied to the end diastolic phase slices of a cardiac MRI acquisition. First, the qualitative image quality was evaluated with clinical criteria and was performed by radiologists. The compression image quality was then not judged satisfactory over 22:1 for JPEG and 32:1 for wavelets. Secondly, we evaluated the effect of these lossy methods on physiological parameters, such as left ventricular mass and end-diastolic volume, calculated by an automated segmentation algorithm. The wavelet coding allows a compression ratio of 67:1, while JPEG is limited to 30:1. The wavelet compression performance was superior to JPEG at high and low compression ratios. We conclude that limiting the compression ratios to those defined by the psychovisual assessment secures the validity of physiological parameters in cardiac MRI.
机译:随着医学成像模态的数量增加,压缩数字医学图像可以促进其传输和存储。本文评估并比较了两种有损压缩方法:JPEG和小波,它们被应用到心脏MRI采集的舒张末期相位片上。首先,以临床标准评估定性图像质量,并由放射科医生进行。然后,对于JPEG的22:1和对于小波​​的32:1,压缩图像质量不能令人满意。其次,我们评估了这些有损方法对通过自动分割算法计算出的生理参数(如左心室质量和舒张末期容积)的影响。小波编码的压缩比为67:1,而JPEG被限制为30:1。在高和低压缩率下,小波压缩性能均优于JPEG。我们得出的结论是,将压缩比限制为心理视觉评估所定义的压缩比可确保心脏MRI中生理参数的有效性。

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