Motion artifact reducing reconstruction of 4D CT image data for the analysis of respiratory dynamics

Methods of Information in Medicine

Volumn 46, Issue 3, 2007, Pages 254-260

  Werner, René ^a   Ehrhardt, J ^a   Frenzel, T ^b   Saring D ^a   Lu, W ^c   Low, D ^c   Handels, H ^a  

^a UNIVERSITY MEDICAL CENTER HAMBURG EPPENDORF   (Germany)

^b DEPARTMENT OF CARDIOLOGY   (Germany)

^c WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

4D CT; Computed x ray tomography; Computer assisted image analysis; Lung cancer; Respiratory motion

Indexed keywords

ARTICLE; ARTIFACT; BREATHING; CLINICAL ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; HUMAN; MOTION ANALYSIS SYSTEM; PRIORITY JOURNAL; RESPIRATORY FUNCTION; TUMOR;

GERMANY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LUNG NEOPLASMS; MOVEMENT; RESPIRATORY SYSTEM; TOMOGRAPHY, X-RAY COMPUTED;

EID: 34249335383     PISSN: 00261270     EISSN: None     Source Type: Journal    
DOI: 10.1160/ME9040     Document Type: Article

References (25)

1. Hanley J, Debois MM, Mah D, Mageras GS, Raben A, Rosenzweig K, et al. Deep inspiration breath-hold technique for lung tumors: the potential value of target immobilization and reduced lung density in dose escalation. Int J Radiat Oncol Biol Phys 1999; 45 (3): 603-611.
2. Wilson EM, Williams FJ, Lyn BE, Wong JW, Aird EGA. Validation of active breathing control in patients with non-small-cell lung cancer to be treated with CHARTWEL. Int J Radiat Oncol Biol Phys 2003; 57 (3): 864-874.
3. Kubo HD, Hill BC. Respiration gated radiotherapy treatment: a technical study. Phys Med Biol 1996; 41 (1): 83-91.
4. Mageras GS, Yorke E, Rosenzweig K, Braban L, Keatley E, Ford E, et al. Fluoroscopic evaluation of diaphragmatic motion reduction with a respiratory gated radiotherapy system. J Appl Clin Med Phys 2001; 2 (4): 191-200.
5. Keall PJ, Kini VR, Vedam SS, Mohan R. Motion adaptive x-ray therapy: a feasibility study. Phys Med Biol 2001;46 (1): 1-10.
6. Schweikard A, Glosser G, Bodduluri M, Murphy MJ, Adler JR. Robotic motion compensation for respiratory movement during radiosurgery. Comput Aided Surg 2000; 5 (4): 263-277.
7. Dawson L, Balter JM. Interventions to reduce organ motion effects in radiation delivery. Semin Radat Oncol 2004; 14: 65-75.
8. Low DA, Nystrom M, Kalinin E, Parikh P, Dempsey JF, Bradley JD, et al. A method for the reconstruction of four-dimensional synchronized CT scans acquired during free breathing. Med Phys 2003; 30 (6): 1254-1263.
9. Pan T, Lee T, Rietzel E, Chen GTY. 4D-CT imaging of a volume influenced by respiratory motion on multi-slice CT. Med Phys 2004; 31 (2): 333-340.
10. Vedam SS, Keall PJ, Kini VR, Mostafavi H, Shukla HP, Mohan R. Acquiring a four-dimensional computed tomography dataset using an external respiratory signal. Phys Med Biol 2003; 48 (1): 45-62.
11. Keall PJ, Starkschall G, Shukla H, Forster KM, Ortiz V, Stevens CW, et al. Acquiring 4D thoracic CT scans using a multislice helical method. Phys Med Biol 2004; 49 (10): 2053-2067.
12. McCollough CH, Bruesewitz MR, Daly TR, Zink FE. Motion artifacts in subsecond conventional CT and electron-beam CT: pictorial demonstration of temporal resolution. Radiographics 2000; 20 (6): 1675-1681.
13. Lu W, Parikh PJ, El Naqa IM, Nystrom MM, Hubenschmidt JP, Wahab SH, et al. Quantitation of the reconstruction quality of a four-dimensional computed tomography process for lung cancer patients. Med Phys 2005; 32 (4): 890-901.
14. Seppenwoolde Y, Shirato H, Kitamura K, Shimizu S, van Herk M, Lebesque JV, et al. Precise and real-time measurement of 3D tumor motion in lung due to breathing and heartbeat, measured during radiotherapy. Int J Radiat Oncol Biol Phys 2002; 53 (4): 822-834.
15. Ehrhardt J, Säring D, Handels H. Stucture-preserving Interpolation of Temporal and Spatial Image Sequences Using an Optical Flow-based Method. Methods Inf Med 2007; 46: 300-307.
16. Horn BKP, Schunk BG. Determining optical flow. Artificial Intelligence 1981; 17: 185-203.
17. Barron JL, Fleet DJ, Beauchemin SS. Performance of optical flow techniques. Int J Comp Vision 1994; 12: 43-77.
18. Ehrhardt J, Handels H, Plötz W, Pöppl SJ. Atlas-based recognition of anatomical structures and landmarks and the automatic computation of orthopedic parameters. Methods Inf Med 2004; 43 (4): 391-397.
19. Fischer B, Modersitzki J. Intensity-based image registration with a guaranteed one-to-one point match. Methods Inf Med 2004; 43 (4): 327-330.
20. Thirion JP. Image matching as a diffusion process: an analogy with Maxwell's demons. Med Image Anal 1998; 2 (3): 243-260.
21. Matej S, Furuie S, Herman G. Relevance of statistically significant differences between reconstruction algorithms. IEEE Trans Image Proc 1996; 5 (3): 554-556.
22. Ibanez L, Schroeder W. The ITK Software Guide. Kitware Inc. 2004.
23. Schroeder W, Martin K, Lorensen B. The Visualization Toolkit, Third Edition. Kitware Inc. 2004.
24. Langen KM, Jones DT. Organ motion and its management. Int J Radiat Oncol Biol Phys 2001; 50 (1): 265-278.
25. Schoebinger M, Plathow C, Wolf I, Kauczor H, Meinzer H. Quantification of tumor mobility during the breathing cycle using 3D dynamic MRI. In: Manduca A, Amini AA, editors. Medical Imaging 2006: Physiology, Function, and Structure from Medical Images. Proc. SPIE Vol. 6143; Feb 2006; San Diego, USA. 2006. pp 61430P-1 to 61430P-8.