title: Ultra-Fast Image Reconstruction of Tomosynthesis Mammography Using GPU.
abstract: Digital Breast Tomosynthesis (DBT) is a technology that creates three dimensional (3D) images of breast tissue. Tomosynthesis mammography detects lesions that are not detectable with other imaging systems. If image reconstruction time is in the order of seconds, we can use Tomosynthesis systems to perform Tomosynthesis-guided Interventional procedures. This research has been designed to study ultra-fast image reconstruction technique for Tomosynthesis Mammography systems using Graphics Processing Unit (GPU). At first, projections of Tomosynthesis mammography have been simulated. In order to produce Tomosynthesis projections, it has been designed a 3D breast phantom from empirical data. It is based on MRI data in its natural form. Then, projections have been created from 3D breast phantom. The image reconstruction algorithm based on FBP was programmed with C++ language in two methods using central processing unit (CPU) card and the Graphics Processing Unit (GPU). It calculated the time of image reconstruction in two kinds of programming (using CPU and GPU).
authors.affiliation: Medical Radiation Department, Shahid Beheshti University, Tehran, Iran.
authors.forename: D
authors.initials: D
authors.lastname: Arefan
authors.affiliation: Electrical and computer engineering, Shahid Beheshti University, Tehran, Iran.
authors.forename: A
authors.initials: A
authors.lastname: Talebpour
authors.affiliation: Tehran University of medical science, Imam Khomeini hospital ADIR, Tehran, Iran.
authors.forename: N
authors.initials: N
authors.lastname: Ahmadinejhad
authors.affiliation: Medical Radiation Department, Shahid Beheshti University, Tehran, Iran.
authors.forename: A
authors.initials: A
authors.lastname: Kamali Asl
keywords: Breast; Graphics Processing Unit; Image Reconstruction; Mammography; Tomosynthesis