Transforming static CT in gated PET/CT studies to multiple respiratory phases

Proceedings - International Conference on Pattern Recognition

Volumn 1, Issue , 2006, Pages 1026-1029

  Dawood, M ^a,b   Buther F ^b   Lang, N ^b   Jiang, X ^a,b   Schafers K P ^b  

^a UNIVERSITY OF MÜNSTER   (Germany)

^b UNIVERSITY HOSPITAL MÜNSTER   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER AIDED DIAGNOSIS; GATES (TRANSISTOR); OPTICAL FLOWS; POSITRON EMISSION TOMOGRAPHY; RESPIRATORY SYSTEM;

ATTENUATION CORRECTION; OPTICAL FLOW ALGORITHMS; REAL PATIENT DATA; SOFTWARE PHANTOMS;

COMPUTERIZED TOMOGRAPHY;

EID: 34047224659     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.1135     Document Type: Conference Paper

References (10)

1. Bruhn A et al: Lucas/kanade meets horn/schunck: Combining local and global optic flow methods. International Journal of Computer Vision, 2005, vol 61(3), 211-231
2. Charbonnier P et al: Two deterministic half-quadratic regularization algorithms for computed imaging. Proceedings of IEEE International Conference on Image Processing 1994, vol 2, 168-172
3. Cohade C et al: PET-CT: Accuracy of pet and ct spatial registration of lung lesions. European Journal of Nuclear Medicine and Molecular Imaging, 2003, vol 30(5), 721-726
4. Dawood M et al: Lung motion correction on respiratory gated 3D PET/CT images. IEEE Transactions on Medical Imaging: Special Issue on Pulmonary Imaging 2006, vol 25(4), 476-485
5. Dawood M et al: Advanced optical flow algorithms for motion correction in 3D PET/CT. Submitted for publication, 2006
6. Erdi Y E et al: The CT motion quatitation of lung leasions and its impact on PET-measured SUVs. Journal of Nuclear Medicine, 2004, vol 45(8), 1287-1292
7. Fitzpatrick J M et al: Image registraion, in: Hand-book of medical imaging, Volume 2: Medical image processing and analysis Edited by: M Sonka and J M Fitzpatrick, 2000, 447-513
8. Osman M M et al: Clinically significant inaccurate localization of lesions with PET/CT: Frequency in 300 patients. Journal of Nuclear Medicine, 2003, vol 44(2), 240-243
9. Segars W P: Development of a new dynamic NURBS-based cardiac-torso (NCAT) phantom. PhD dissertation, The University of North Carolina, 2001
10. Zitová B et al: Image registration methods: A survey. Image and Vision Computing, 2003, vol 21, 977-1000