caa a22 4500 606209905 CHVBK 20210128101030.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s11220-015-0122-3 doi (NATIONALLICENCE)springer-10.1007/s11220-015-0122-3 Techniques in Iterative Proton CT Image Reconstruction [Elektronische Daten] [Scott Penfold, Yair Censor] This is a review paper on some of the physics, modeling, and iterative algorithms in proton computed tomography (pCT) image reconstruction. The primary challenge in pCT image reconstruction lies in the degraded spatial resolution resulting from multiple Coulomb scattering within the imaged object. Analytical models such as the most likely path have been proposed to predict the scattered trajectory from measurements of individual proton location and direction before and after the object. Iterative algorithms provide a flexible tool with which to incorporate these models into image reconstruction. The modeling leads to a large and sparse linear system of equations that can efficiently be solved by projection methods-based iterative algorithms. Such algorithms perform projections of the iterates onto the hyperlanes that are represented by the linear equations of the system. They perform these projections in possibly various algorithmic structures, such as block-iterative projections, string-averaging projections. These algorithmic schemes allow flexibility of choosing blocks, strings, and other parameters. They also cater for parallel implementations which are apt to further save clock time in computations. Experimental results are presented which compare some of those algorithmic options. Springer Science+Business Media New York, 2015 Proton computed tomography nationallicence Multiple Coulomb scattering nationallicence Most-likely path nationallicence Projection methods nationallicence Block-iterative projections nationallicence String-averaging projections nationallicence Superiorization nationallicence Penfold Scott Department of Medical Physics, Royal Adelaide Hospital, 5000, Adelaide, SA, Australia aut Censor Yair Department of Mathematics, University of Haifa, 3498838, Mt. Carmel, Haifa, Israel aut Sensing and Imaging Springer US; http://www.springer-ny.com 16/1(2015-12-01), 1-21 1557-2064 16:1<1 2015 16 11220 https://doi.org/10.1007/s11220-015-0122-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11220-015-0122-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Penfold Scott Department of Medical Physics, Royal Adelaide Hospital, 5000, Adelaide, SA, Australia aut NATIONALLICENCE 700 1- Censor Yair Department of Mathematics, University of Haifa, 3498838, Mt. Carmel, Haifa, Israel aut NATIONALLICENCE 773 0- Sensing and Imaging Springer US; http://www.springer-ny.com 16/1(2015-12-01), 1-21 1557-2064 16:1<1 2015 16 11220