The Effect of Breast Composition on a No-reference Anisotropic Quality Index for Digital Mammography

• Published in: Breast Imaging pp. 226 - 233
• Main Authors: Barufaldi, Bruno, Borges, Lucas R., Vieira, Marcelo A. C., Gabarda, Salvador, Maidment, Andrew D. A., Bakic, Predrag R., Pokrajac, David D., Schiabel, Homero
• Format: Book Chapter
• Language: English
• Published: Cham Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Anisotropy; Breast anatomy; Digital mammography; Image quality index
• ISBN: 331941545X; 9783319415451
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-319-41546-8_30

There are several methods to evaluate objectively the quality of a digital image. For digital mammography, objective quality assessment must be performed without references. In a previous study, the authors investigated the use of a normalized anisotropic quality index (NAQI) to assess mammography images blindly in terms of noise and spatial resolution. Since the NAQI is used as a quality metric, it must not be highly dependent on the breast anatomy. Thus, in this work, we analyze the NAQI behavior with different breast anatomies. A computerized system was used to synthesize 2,880 anthropomorphic breast phantom images with a realistic range of anatomical variations. The results show that NAQI is only marginally dependent on breast anatomy when images are acquired without degradation (<12 %). However, for realizations that simulate the acquisition process in digital mammography, the NAQI is more sensitive (33 %) to variations arising from quantum noise. Thus, NAQI can be used in clinical practice to assess mammographic image quality.