Image Quality Assessment

This project aims at developing methods for assessing image quality from clinical images using a non-reference quality metric. The validation has been performed using a virtual clinical trial pipeline and a set of DBT images from patients. The next step of this project is to correlate the metric with the perception of quality reported by radiologists.

Software

We will soon provide links to the pieces of software developed during this project.

Publications

B. Barufaldi; L.R. Borges; P.R. Bakic; M.A.C. Vieira; H. Schiabel; A.D.A. Maidment. “Assessment of automatic exposure control performance in digital mammography using a no-reference anisotropic quality index”. Proc. SPIE Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment, v.10136, Orlando, 2017. (doi) (PDF)

B. Barufaldi; L.R. Borges; M.A.C. Vieira; S. Gabarda; A.D.A. Maidment; P.R. Bakic; D.D. Pokrajac; H. Schiabel. “The Effect of Breast Composition on a No-reference Anisotropic Quality Index for Digital Mammography”. Breast Imaging, v.9699, p.226-233, 2016. (doi) (PDF)

H.C.R. Oliveira; B. Barufaldi; L.R. Borges; S. Gabarda; P.R. Bakic; A.D.A. Maidment; H. Schiabel; M.A.C. Vieira. “Validation of no-reference image quality index for the assessment of digital mammographic images”. Proc. SPIE Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, v.9787, San Diego, 2016. (doi) (PDF)