Motion correction in PET/CT

K. P. Schäfers; M. Dawood; N. Lang; F. Büther; M. Schäfers; O. Schober

doi:10.1055/s-0038-1625215

Nuklearmedizin - NuclearMedicine, Table of Contents

Nuklearmedizin 2005; 44(S 01): S46-S50
DOI: 10.1055/s-0038-1625215

Original Articles

Schattauer GmbH

Motion correction in PET/CT

Bewegungskorrektur in der PET/CT

K. P. Schäfers

¹Department of Nuclear Medicine, University Hospital of Münster, Germany

,

M. Dawood

¹Department of Nuclear Medicine, University Hospital of Münster, Germany

,

N. Lang

¹Department of Nuclear Medicine, University Hospital of Münster, Germany

,

F. Büther

¹Department of Nuclear Medicine, University Hospital of Münster, Germany

,

M. Schäfers

¹Department of Nuclear Medicine, University Hospital of Münster, Germany

,

O. Schober

¹Department of Nuclear Medicine, University Hospital of Münster, Germany

› Author Affiliations

Abstract

Summary:

Motion in PET/CT leads to artifacts in the reconstructed PET images due to the different acquisition times of positron emission tomography and computed tomography. The effect of motion on cardiac PET/CT images is evaluated in this study and a novel approach for motion correction based on optical flow methods is outlined. The Lukas-Kanade optical flow algorithm is used to calculate the motion vector field on both simulated phantom data as well as measured human PET data. The motion of the myocardium is corrected by non-linear registration techniques and results are compared to uncorrected images.

Zusammenfassung:

Bewegung in der PET/CT führt aufgrund der unterschiedlichen Akquisitionszeiten der Positronenemissionstomographie (PET) und Computertomographie zu Artefakten in den rekonstruierten PET-Bildern. In dieser Studie wurde die Auswirkung der Bewegung auf kardiale PET-Bilder untersucht und ein neuer Ansatz für eine Bewegungskorrektur basierend auf der Methode des „optical flow“ vorgestellt. Der von Lukas und Kanade entwickelte Optical-flow-Algorithmus wurde dazu benutzt, das Bewegungsvektorfeld anhand von simulierten Phantomdaten und gemessenen PET/ CT-Daten zu bestimmen. Die Bewegung des Myokards wurde mithilfe nicht-linearer Registrierung korrigiert und die Ergebnisse mit den unkorrigierten Bilddaten verglichen.

Key words:

PET/CT

Schlüsselwörter:

PET/CT

Full Text

References

References
1 Ter-Pogossian MM, Bergmann SR, Sobel BE. Influence of cardiac and respiratory motion on tomographic reconstructions of the heart: implications for quantitative nuclear cardiology. J Comput Assist Tomogr 1982; 6: 1148-55.
2 Hoffmann EJ, Phelps ME, Wisenberg G. et al. Electrocardiographic gating in positron emission computed tomography. J Comput Assist Tomogr 1979; 3: 733-9.
3 Stegger L, Biedenstein S, Schäfers KP. et al. Elastic surface contour detection for the measurement of ejection fraction in myocardial perfusion SPET. Eur J Nucl Med 2001; 28: 48-55.
4 Freiberg J, Hove JD, Kofoed KF. et al. Absolute quantitation of left ventricular wall and cavity parameters using ECG-gated PET. J Nucl Cardiol 2004; 11: 38-46.
5 Khorsand A, Graf S, Frank H. et al. Model-based analysis of electrocardiography-gated cardiac ¹⁸F-FDG PET images to assess left ventricular geometry and contractile function. J Nucl. Med 2003; 44: 1741-6.
6 Susskind H, Alderson PO, Dzebolo NN. et al. Effect of respiratory motion on pulmonary activity by positron tomography in dogs. Invest Radiol 1985; 20: 950-5.
7 Kinahan PE, Hasegawa BH, Beyer T. X-ray-based attenuation correction for positron emission tomography/ computed tomography scanners. Semin Nucl Med Mol Imaging 2003; 33: 166-79.
8 Beyer T, Antoch G, Blodgett T. et al. Dual-modality PET/CT imaging: the effect of respiratory motion on combined image quality in clinical oncology. Eur J Nucl Med 2003; 30: 588-96.
9 Osman MM, Cohade C, Nakamoto Y. et al. Respiratory motion artifacts on PET emission images obtained using CT attenuation correction on PETCT. Eur J Nucl Med Mol Imaging 2003; 30: 603-6.
10 Lucas BD, Kanade T. An iterative image registration technique with an application to stereo vision. Proceedings of Imaging Understanding Workshop 1981; 121-30.
11 Horn B, Schunck B. Determining optical flow. Artificial Intelligence 1981; 17: 185-203.
12 Segars WP. Development of a new dynamic NURBS-based cardiac torso (NCAT) phantom. PhD dissertation, The University of North Carolina 2001
13 Brix G, Lechel U, Glatting G. et al. Radiation exposure of patients undergoing whole-body dualmodality ¹⁸F-FDG PET/CT examinations. J Nucl Med 2005; 46: 608-13.
14 Kalender WA, Wolf H, Suess C. et al. Dose reduction in CT by on-line tube current control: principles and validation on phantoms and cadavers. Eur Radiol 1999; 9: 323-8.
15 Jakobs TF, Becker CR, Ohnesorge B. et al. Multislice helical CT of the heart with retrospective ECG gating: reduction of radiation exposure by ECG-controlled tube current modulation. Eur Radiol 2002; 12: 1081-6.
16 Klein GJ. Deformable Models for Volume Feature Tracking. PhD Dissertation 1999, The University of California, Berkeley.
17 Lu W, Mackie TR. Tomographic motion detection and correction directly in sinogram space. Phys Med Biol 2002; 47: 1267-84.
18 Bühler P, Just U, Will E. et al. An accurate method for correction of head movement in PET. IEEE Trans Med Imag 2004; 23: 1176-85.
19 Livieratos L, Stegger L, Bloomfield PM. et al. Rigid-body transformation of list-mode projection data for respiratory motion correction in cardiac PET. Phys Med Biol 2005; 50: 3313-22.