Fan-beam filtered-backprojection reconstruction without backprojection weight

Physics in Medicine and Biology

Volumn 52, Issue 11, 2007, Pages 3227-3240

  Dennerlein, Frank ^a   Noo, Frédéric ^a   Hornegger, Joachim ^b   Lauritsch, Günter ^c  

^a UNIVERSITY OF UTAH SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^c SIEMENS AG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL GEOMETRY; COMPUTATIONAL METHODS; COMPUTER SIMULATION; DATA ACQUISITION; SIGNAL TO NOISE RATIO;

BACKPROJECTION WEIGHT; FAN BEAM DATA; FILTERED BACKPROJECTION (FBP); NOISE PROPERTIES;

IMAGE RECONSTRUCTION;

ARTICLE; COMPARATIVE STUDY; COMPUTED TOMOGRAPHIC ANGIOGRAPHY; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER SIMULATION; GEOMETRY; IMAGE QUALITY; IMAGE RECONSTRUCTION; NOISE; PRIORITY JOURNAL; RADIATION BEAM; SIGNAL NOISE RATIO;

ALGORITHMS; COMPUTER SIMULATION; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, STATISTICAL; MODELS, THEORETICAL; PHANTOMS, IMAGING; PROGRAMMING LANGUAGES; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; SCATTERING, RADIATION; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE; THORAX;

EID: 34249105265     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/52/11/019     Document Type: Article

References (16)

1. Arai I, Kudo H, Noo F, Defrise M and Pack J D 2005 A new class of super-short-scan algorithms for fan-beam reconstruction Proc. IEEE NSS pp 2296-300
2. Besson G 1999 CT image reconstruction from fan-parallel data Med. Phys. 26 415-26
3. Chen G H, Tokalkanahalli R and Hsieh J 2006 Development and evaluation of an exact fan-beam reconstruction algorithm using an equal weighting scheme via locally compensated filtered backprojection (LCFBP) Med. Phys. 33 475-81
4. Crawford C F and King K F 1990 Computed tomography scanning with simultaneous patient translation Med. Phys. 17 967-82
5. Kak A C and Slaney M 1988 Principles of Computerized Tomographic Imaging (Piscataway, NJ: IEEE Press)
6. Katsevich A 2002 Analysis of an exact inversion algorithm for spiral cone-beam CT Phys. Med. Biol. 47 2583-97
7. Katsevich A, Taguchi K and Zamyatin A A 2006 Formulation of four Katsevich algorithms in native geometry IEEE Trans. Med. Imaging 25 855-68
8. Kudo H, Noo F, Defrise M and Clackdoyle R 2002 New super-short-scan algorithm for fan-beam and cone-beam reconstruction Proc. IEEE MIC pp 902-6
9. Noo F, Defrise M, Clackdoyle R and Kudo H 2002 Image reconstruction from fan-beam projections on less than a short scan Phys. Med. Biol. 47 2525-46
10. Noo F, Pack J D and Heuscher D 2003 Exact helical reconstruction using native cone-beam geometries Phys. Med. Biol. 48 3787-818
11. Pan X 1999 Optimal noise control in and fast reconstruction of fan-beam computed tomography image Med. Phys. 26 689-97
12. Pan X and Yu L 2003 Image reconstruction with shift-variant filtration and its implication for noise and resolution properties in fan-beam computed tomography Med. Phys. 30 590-600
13. Taguchi K 2003 Temporal resolution and the evaluation of candidate algorithms for four-dimensional CT Med. Phys. 30 640-50
14. Wang J, Lu H, Li T and Liang Z 2005 An alternative solution to the nonuniform noise propagation problem in fan-beam FBP image reconstruction Med. Phys. 32 3389-94
15. You J and Zeng G L 2007 Hilbert transform based FBP algorithm for fan-beam CT full and partial scans IEEE Trans. Med. Imaging 32 3389-94
16. Zamyatin A A, Taguchi K and Silver M D 2006 Practical hybrid convolution algorithm for helical CT reconstruction IEEE Trans. Nucl. Sci. 53 167-74