title: Prior image guided undersampled dual energy reconstruction with piecewise polynomial function constraint.
abstract: Dual energy CT has the ability to give more information about the test object by reconstructing the attenuation factors under different energies. These images under different energies share identical structures but different attenuation factors. By referring to the fully sampled low-energy image, we show that it is possible to greatly reduce the sampling rate of the high-energy image in order to lower dose. To compensate the attenuation factor difference between the two modalities, we use piecewise polynomial fitting to fit the low-energy image to the high-energy image. During the reconstruction, the result is constrained by its distance to the fitted image, and the structural information thus can be preserved. An ASD-POCS-based optimization schedule is proposed to solve the problem, and numerical simulations are taken to verify the algorithm.
authors.affiliation: Key Laboratory of Particle & Radiation Imaging, Tsinghua University, Ministry of Education, Beijing 100084, China ; Department of Engineering Physics, Tsinghua University, Beijing 100084, China.
authors.forename: Dufan
authors.initials: D
authors.lastname: Wu
authors.forename: Li
authors.initials: L
authors.lastname: Zhang
authors.forename: Liang
authors.initials: L
authors.lastname: Li
authors.forename: Le
authors.initials: L
authors.lastname: Shen
authors.forename: Yuxiang
authors.initials: Y
authors.lastname: Xing
mesh_terms: D000465:Algorithms; D055592:Biophysical Phenomena; D044962:Data Compression; D006801:Humans; D003765:Models, Dental; D019047:Phantoms, Imaging; D011829:Radiation Dosage; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D014057:Tomography, X-Ray Computed / Q000706:statistics & numerical data*