Image processing algorithms for cumulative maximum intensity subharmonic ultrasound imaging: A comparative study in the breast

This study compared different cumulative maximum intensity (CMI) image processing techniques for depicting vascularity in subharmonic ultrasound images (SHI) of breast lesions. In CMI mode a composite image depicting vascular architecture and blood flow is constructed through maximum intensity projection accumulation of SHI data over consecutive images. SHI data (transmitting and receiving at 4.4/2.2 MHz) was obtained from 16 breast lesions using a modified Logiq 9 Scanner (GE Healthcare, Milwaukee, WI). CMI data was processed manually and by an automated technique using 3 different threshold values to reduce motion artifacts. In every case an image of peak flow was also selected as control. Six blinded and independent readers scored all the randomized images for vessel continuity, detail resolution, presence of artifacts, overall image quality and SNR on a 7 point scale (poor-excellent). Readers subsequently ranked all images within each case on a scale from 1-5 (best-worst). Scores were compared using a double, repeated measures ANOVA. The processing techniques were significantly different with regards to vessel continuity, detail resolution and image quality (p