Iterative reconstruction for quantitative tissue decomposition in dual-energy CT

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6688 LNCS, Issue , 2011, Pages 479-488

  Magnusson, Maria ^a   Malusek, Alexandr ^a,b   Muhammad, Arif ^a   Alm Carlsson, Gudrun ^a  

^a LINKÖPING UNIVERSITY   (Sweden)

^b NUCLEAR PHYSICS INSTITUTE   (Czech Republic)

Author keywords

Dual energy CT; Iterative reconstruction; Tissue classification; Tissue composition; Tissue decomposition

Indexed keywords

ACCURATE ESTIMATION; BASE MATERIAL; BEAM HARDENING; BONE TISSUE; DOSE PLANNING; DUAL-ENERGY CT; ITERATIVE ALGORITHM; ITERATIVE RECONSTRUCTION; MASS FRACTION; MATERIAL COMPOSITIONS; RADIATION THERAPY; SCATTER CORRECTION; SIMULATION STUDIES; SOFT TISSUE; TISSUE CLASSIFICATION; TISSUE COMPOSITION;

ALGORITHMS; BONE; HARDENING; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; TISSUE;

COMPUTERIZED TOMOGRAPHY;

EID: 79957530895     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21227-7_45     Document Type: Conference Paper

References (12)

1. Kak, A.C., Slaney, M.: Principles of Computerized Tomographic Imaging. IEEE Press, Los Alamitos (1988)
2. Stierstorfer, K., Rauscher, A., Boese, J., Bruder, H., Schaller, S., Flohr, T.: Weighted FBP - a simple approximate 3D FBP algorithm for multislice spiral CT with good dose usage for arbitrary pitch. Phys. Med. Biol. 49, 2209-2218 (2004)
3. Persson, A., Jackowski, C., Engström, E., Zachrisson, H.: Advances of dual source, dual-energy imaging in postmortem CT. Eur. J. Radiol. 68, 446-455 (2008)
4. Schneider, W., Bortfeld, T., Schlegel, W.: Correlation between CT numbers and tissue parameters needed for Monte Carlo simulations of clinical dose distributions. Phys. Med. Biol. 45, 459-478 (2000)
5. Bazalova, M., Beaulieu, L., Palefsky, S., Verhaegen, F.: Tissue segmentation in Monte Carlo treatment planning: a simulation study using dual-energy CT images. Radiother Oncol. 86, 93-98 (2007)
6. Liu, X., Yu, L., Primak, A.N., McCollough, C.H.: Quantitative imaging of element composition and mass fraction using dual-energy CT: Three-material decomposition. Med. Phys. 36(5), 1602-1609 (2009)
7. Yu, L., Liu, X., McCollough, C.H.: Pre-reconstruction three-material decomposition in dual-energy CT. In: Proc. of SPIE, vol. 7258, pp. 72583V-1 (2009)
8. International Commission on Radiation Units and Measurements: Tissue Substitutes in Radiation Dosimetry and Measurement, ICRU Report No. 44 (1989)
9. De Man, B., Nuyts, J., Dupont, P., Marchal, G., Suetens, P.: An Iterative Maximum-Likelihood Polychromatic Algorithm for CT. IEEE Trans. on Med. Imaging 20(10) (2001)
10. Seger, O., Magnusson Seger, M.: The MATLAB/C program take - a program for simulation of X-ray projections from 3D volume data. Demonstration of beam-hardening artifacts in subsequent CT reconstruction, Technical Report LiTH-ISYR-2682 (2005), http://liu.diva-portal.org
11. Joseph, P.: An Improved Algorithm for reprojectiong Rays Through Pixel Images. IEEE Trans. on Med. Imaging 1(3), 1992-1996 (1982)
12. National Institute of Standards and Technology, http://physics.nist.gov/ PhysRefData/XrayMassCoef/cover.html