Quality evaluation of ultrasound imaging in the carotid artery
Date Issued
November 1, 2004
DOI
10.1109/MELCON.2004.1346891
Abstract
Image quality assessment plays an important role
in various image-processing applications. In this work we
evaluate image quality criteria based on mean square error,
signal to noise error, and quality and structural similarity
indices on ultrasound imaging of the carotid artery. These
criteria as well as statistical and texture features were
computed on 80 images recorded from two different
ultrasound scanners before and after despeckle filtering,
and after despeckle filtering and normalization. Results
showed that image quality was improved after despeckle
filtering and normalization for both scanners. This finding
is also in agreement with the optical perception evaluation
carried out by two vascular experts.
in various image-processing applications. In this work we
evaluate image quality criteria based on mean square error,
signal to noise error, and quality and structural similarity
indices on ultrasound imaging of the carotid artery. These
criteria as well as statistical and texture features were
computed on 80 images recorded from two different
ultrasound scanners before and after despeckle filtering,
and after despeckle filtering and normalization. Results
showed that image quality was improved after despeckle
filtering and normalization for both scanners. This finding
is also in agreement with the optical perception evaluation
carried out by two vascular experts.