Skip to main content
Top
Published in: Annals of Nuclear Medicine 10/2010

01-12-2010 | Short Communication

Simultaneous PET–MR acquisition and MR-derived motion fields for correction of non-rigid motion in PET

Authors: Charalampos Tsoumpas, Jane E. Mackewn, Philip Halsted, Andrew P. King, Christian Buerger, John J. Totman, Tobias Schaeffter, Paul K. Marsden

Published in: Annals of Nuclear Medicine | Issue 10/2010

Login to get access

Abstract

Objective

Positron emission tomography (PET) provides an accurate measurement of radiotracer concentration in vivo, but performance can be limited by subject motion which degrades spatial resolution and quantitative accuracy. This effect may become a limiting factor for PET studies in the body as PET scanner technology improves. In this work, we propose a new approach to address this problem by employing motion information from images measured simultaneously using a magnetic resonance (MR) scanner.

Methods

The approach is demonstrated using an MR-compatible PET scanner and PET–MR acquisition with a purpose-designed phantom capable of non-rigid deformations. Measured, simultaneously acquired MR data were used to correct for motion in PET, and results were compared with those obtained using motion information from PET images alone.

Results

Motion artefacts were significantly reduced and the PET image quality and quantification was significantly improved by the use of MR motion fields, whilst the use of PET-only motion information was less successful.

Conclusions

Combined PET–MR acquisitions potentially allow PET motion compensation in whole-body acquisitions without prolonging PET acquisition time or increasing radiation dose. This, to the best of our knowledge, is the first study to demonstrate that simultaneously acquired MR data can be used to estimate and correct for the effects of non-rigid motion in PET.
Literature
1.
go back to reference Wienhard K, Schmand M, Casey ME, Baker K, Bao J, Eriksson L, et al., editors. The ECAT HRRT: performance and first clinical application of the new high resolution research tomograph. 2000 IEEE Nucl Sci Symp Conf Rec; 2000. Wienhard K, Schmand M, Casey ME, Baker K, Bao J, Eriksson L, et al., editors. The ECAT HRRT: performance and first clinical application of the new high resolution research tomograph. 2000 IEEE Nucl Sci Symp Conf Rec; 2000.
2.
go back to reference Livieratos L, Rajappan K, Stegger L, Schafers K, Bailey DL, Camici PG. Respiratory gating of cardiac PET data in list-mode acquisition. Eur J Nucl Med Mol Imaging. 2006;33(5):584–8.PubMedCrossRef Livieratos L, Rajappan K, Stegger L, Schafers K, Bailey DL, Camici PG. Respiratory gating of cardiac PET data in list-mode acquisition. Eur J Nucl Med Mol Imaging. 2006;33(5):584–8.PubMedCrossRef
3.
go back to reference Nehmeh SA, Erdi YE, Ling CC, Rosenzweig KE, Squire OD, Braban LE, et al. Effect of respiratory gating on reducing lung motion artifacts in PET imaging of lung cancer. Med Phys. 2002;29(3):366–71.PubMedCrossRef Nehmeh SA, Erdi YE, Ling CC, Rosenzweig KE, Squire OD, Braban LE, et al. Effect of respiratory gating on reducing lung motion artifacts in PET imaging of lung cancer. Med Phys. 2002;29(3):366–71.PubMedCrossRef
4.
go back to reference Schafers KP, Stegger L. Combined imaging of molecular function and morphology with PET/CT and SPECT/CT: image fusion and motion correction. Basic Res Cardiol. 2008;103(2):191–9.PubMedCrossRef Schafers KP, Stegger L. Combined imaging of molecular function and morphology with PET/CT and SPECT/CT: image fusion and motion correction. Basic Res Cardiol. 2008;103(2):191–9.PubMedCrossRef
5.
go back to reference Nehmeh SA, Erdi YE. Respiratory motion in positron emission tomography/computed tomography: a review. Semin Nucl Med. 2008;38(3):167–76.PubMedCrossRef Nehmeh SA, Erdi YE. Respiratory motion in positron emission tomography/computed tomography: a review. Semin Nucl Med. 2008;38(3):167–76.PubMedCrossRef
6.
go back to reference Nehmeh SA, Erdi YE, Meirelles GSP, Squire O, Larson SM, Humm JL, et al. Deep-inspiration breath-hold PET/CT of the thorax. J Nucl Med. 2007;48(1):22–6.PubMed Nehmeh SA, Erdi YE, Meirelles GSP, Squire O, Larson SM, Humm JL, et al. Deep-inspiration breath-hold PET/CT of the thorax. J Nucl Med. 2007;48(1):22–6.PubMed
7.
go back to reference Montgomery AJ, Thielemans K, Mehta MA, Turkheimer F, Mustafovic S, Grasby PM. Correction of head movement on PET studies: comparison of methods. J Nucl Med. 2006;47(12):1936–44.PubMed Montgomery AJ, Thielemans K, Mehta MA, Turkheimer F, Mustafovic S, Grasby PM. Correction of head movement on PET studies: comparison of methods. J Nucl Med. 2006;47(12):1936–44.PubMed
8.
go back to reference Catana C, van der Kouwe A, Benner T, Byars L, Michel C, Hamm M, et al. Rigid-body MR-assisted PET motion correction. J Nucl Med. 2009;50(Supplement 2):592. Catana C, van der Kouwe A, Benner T, Byars L, Michel C, Hamm M, et al. Rigid-body MR-assisted PET motion correction. J Nucl Med. 2009;50(Supplement 2):592.
9.
go back to reference Ruan D, Fessler JA, Balter JM. Mean position tracking of respiratory motion. Med Phys. 2008;35(2):782–92.PubMedCrossRef Ruan D, Fessler JA, Balter JM. Mean position tracking of respiratory motion. Med Phys. 2008;35(2):782–92.PubMedCrossRef
10.
go back to reference Ruan D, Fessler JA, Balter JM, Sonke JJ. Exploring breathing pattern irregularity with projection-based method. Med Phys. 2006;33(7):2491–9.PubMedCrossRef Ruan D, Fessler JA, Balter JM, Sonke JJ. Exploring breathing pattern irregularity with projection-based method. Med Phys. 2006;33(7):2491–9.PubMedCrossRef
11.
go back to reference Dawood M, Buther F, Jiang X, Schafers KP. Respiratory motion correction in 3-D PET data with advanced optical flow algorithms. IEEE Trans Med Imaging. 2008;27(8):1164–75.PubMedCrossRef Dawood M, Buther F, Jiang X, Schafers KP. Respiratory motion correction in 3-D PET data with advanced optical flow algorithms. IEEE Trans Med Imaging. 2008;27(8):1164–75.PubMedCrossRef
12.
go back to reference Rahmim A. Advanced motion correction methods in PET. Iran J Nucl Med. 2005;13(24):1–17. Rahmim A. Advanced motion correction methods in PET. Iran J Nucl Med. 2005;13(24):1–17.
13.
go back to reference Livieratos L, Stegger L, Bloomfield PM, Schafers K, Bailey DL, Camici PG. Rigid-body transformation of list-mode projection data for respiratory motion correction in cardiac PET. Phys Med Biol. 2005;50(14):3313–22.PubMedCrossRef Livieratos L, Stegger L, Bloomfield PM, Schafers K, Bailey DL, Camici PG. Rigid-body transformation of list-mode projection data for respiratory motion correction in cardiac PET. Phys Med Biol. 2005;50(14):3313–22.PubMedCrossRef
14.
go back to reference Osman MM, Cohade C, Nakamoto Y, Wahl RL. Respiratory motion artifacts on PET emission images obtained using CT attenuation correction on PET-CT. Eur J Nucl Med Mol Imaging. 2003;30(4):603–6.PubMedCrossRef Osman MM, Cohade C, Nakamoto Y, Wahl RL. Respiratory motion artifacts on PET emission images obtained using CT attenuation correction on PET-CT. Eur J Nucl Med Mol Imaging. 2003;30(4):603–6.PubMedCrossRef
15.
go back to reference Pichler BJ, Kolb A, Nagele T, Schlemmer HP. PET/MRI: paving the way for the next generation of clinical multimodality imaging applications. J Nucl Med. 2010;51(3):333–6.PubMedCrossRef Pichler BJ, Kolb A, Nagele T, Schlemmer HP. PET/MRI: paving the way for the next generation of clinical multimodality imaging applications. J Nucl Med. 2010;51(3):333–6.PubMedCrossRef
16.
go back to reference Tsoumpas C, Buerger C, King AP, Keereman V, Vandenberghe S, Schulz V, et al., editors. Simulation of dynamic PET data from real MR acquisitions. 2009 IEEE Nucl Sci Symp Conf Rec; Oct. 24–Nov. 1 2009. Tsoumpas C, Buerger C, King AP, Keereman V, Vandenberghe S, Schulz V, et al., editors. Simulation of dynamic PET data from real MR acquisitions. 2009 IEEE Nucl Sci Symp Conf Rec; Oct. 24–Nov. 1 2009.
17.
go back to reference Mackewn JE, Halsted P, Charles-Edwards G, Page R, Totman JJ, Sunassee K, et al. Performance evaluation of an MRI-compatible pre-clinical PET system using long optical fibers. IEEE Trans Nucl Sci. 2010;57(3):1052–62.CrossRef Mackewn JE, Halsted P, Charles-Edwards G, Page R, Totman JJ, Sunassee K, et al. Performance evaluation of an MRI-compatible pre-clinical PET system using long optical fibers. IEEE Trans Nucl Sci. 2010;57(3):1052–62.CrossRef
18.
go back to reference Mackewn JE, Charles-Edwards G, Totman JJ, Tsoumpas C, Halsted P, Somer EJ, et al., editors. A fiducial marker based technique for alignment of simultaneously acquired PET and MRI images. 2009 IEEE Nucl Sci Symp Conf Rec; Oct. 24–Nov. 1 2009. Mackewn JE, Charles-Edwards G, Totman JJ, Tsoumpas C, Halsted P, Somer EJ, et al., editors. A fiducial marker based technique for alignment of simultaneously acquired PET and MRI images. 2009 IEEE Nucl Sci Symp Conf Rec; Oct. 24–Nov. 1 2009.
19.
go back to reference Mackewn JE, Strul D, Hallett WA, Halsted P, Page RA, Keevil SF, et al. Design and development of an MR-compatible PET scanner for imaging small animals. IEEE Trans Nucl Sci. 2005;52(5):1376–80.CrossRef Mackewn JE, Strul D, Hallett WA, Halsted P, Page RA, Keevil SF, et al. Design and development of an MR-compatible PET scanner for imaging small animals. IEEE Trans Nucl Sci. 2005;52(5):1376–80.CrossRef
20.
go back to reference Thielemans K, Mustafovic S, Tsoumpas C. STIR: Software for Tomographic Image Reconstruction Release 2. 2006 IEEE Nucl Sci Symp Conf Rec; 2007. p. 2174–6. Thielemans K, Mustafovic S, Tsoumpas C. STIR: Software for Tomographic Image Reconstruction Release 2. 2006 IEEE Nucl Sci Symp Conf Rec; 2007. p. 2174–6.
21.
go back to reference Rueckert D, Sonoda LI, Hayes C, Hill DL, Leach MO, Hawkes DJ. Nonrigid registration using free-form deformations: application to breast MR images. IEEE Trans Med Imaging. 1999;18(8):712–21.PubMedCrossRef Rueckert D, Sonoda LI, Hayes C, Hill DL, Leach MO, Hawkes DJ. Nonrigid registration using free-form deformations: application to breast MR images. IEEE Trans Med Imaging. 1999;18(8):712–21.PubMedCrossRef
22.
go back to reference Loening A, Gambhir S. AMIDE: a free software tool for multimodality medical image analysis. Mol Imaging. 2003;2(3):131–7.PubMedCrossRef Loening A, Gambhir S. AMIDE: a free software tool for multimodality medical image analysis. Mol Imaging. 2003;2(3):131–7.PubMedCrossRef
23.
go back to reference King AP, Rhode KS, Razavi RS, Schaeffter TR. An adaptive and predictive respiratory motion model for image-guided interventions: theory and first clinical application. IEEE Trans Med Imaging. 2009;28(12):2020–32.PubMedCrossRef King AP, Rhode KS, Razavi RS, Schaeffter TR. An adaptive and predictive respiratory motion model for image-guided interventions: theory and first clinical application. IEEE Trans Med Imaging. 2009;28(12):2020–32.PubMedCrossRef
Metadata
Title
Simultaneous PET–MR acquisition and MR-derived motion fields for correction of non-rigid motion in PET
Authors
Charalampos Tsoumpas
Jane E. Mackewn
Philip Halsted
Andrew P. King
Christian Buerger
John J. Totman
Tobias Schaeffter
Paul K. Marsden
Publication date
01-12-2010
Publisher
Springer Japan
Published in
Annals of Nuclear Medicine / Issue 10/2010
Print ISSN: 0914-7187
Electronic ISSN: 1864-6433
DOI
https://doi.org/10.1007/s12149-010-0418-2

Other articles of this Issue 10/2010

Annals of Nuclear Medicine 10/2010 Go to the issue