title: Scatter correction for clinical cone beam CT breast imaging based on breast phantom studies.
abstract: In flat-panel detector-based cone beam CT breast imaging (CBCTBI) systems, scattering is an important factor that degrades image quality. It is not practical to measure the scattering profiles of a breast for all view angles in a patient study, but it is possible to develop a method to estimate the scattering profiles based on information acquired from breast phantom studies. A new scattering correction method is proposed for clinical CBCTBI in this study. The scattering profiles of three anthropomorphic uncompressed breast phantoms of different sizes were thoroughly investigated, and the results indicated that though phantom size differed, the scattering profiles were mainly determined by local breast diameters, which are the approximate diameters of coronal slices that are perpendicular to the nipple-to-chestwall direction. Thus for scattering correction purposes it is possible to establish a relationship between location breast diameters and local scattering profiles, namely the fitted smooth curves of scatter-to-primary ratios (SPR) and normalized scattered radiations (NSR). In clinical CBCTBI studies, after the local breast diameters are sampled and measured on projection images, the scattering image for every projection image can be generated based on the established relationship, and the projection images can be corrected using either the SPR based method or the NSR based method. Phantom studies and clinical studies showed that both the SPR and NSR methods are able to correct cupping artifacts and reduce reconstruction error. The SPR method does not increase tissue contrast or noise while the NSR method increases both.
authors.affiliation: Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, USA. weixing_cai@urmc.rochester.edu
authors.forename: Weixing
authors.initials: W
authors.lastname: Cai
authors.forename: Ruola
authors.initials: R
authors.lastname: Ning
authors.forename: David
authors.initials: D
authors.lastname: Conover
mesh_terms: D016477:Artifacts; D055592:Biophysical Phenomena; D001943:Breast Neoplasms / Q000000981:diagnostic imaging*; D003198:Computer Simulation; D054893:Cone-Beam Computed Tomography / Q000379:methods*; D005260:Female; D006801:Humans; D019047:Phantoms, Imaging; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D012542:Scattering, Radiation; D014963:X-Ray Intensifying Screens