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PET/MRI: Attenuation Correction

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PET/MRI in Oncology

Abstract

A well-known challenge in PET/MRI scanners is the correction of annihilation-photon attenuation introduced by both patient tissue and hardware within the field of view. Traditional methods of accounting for such attenuation—such as direct measurement with radioactive sources or estimation from computed tomography data—are impractical to implement due to the strong magnetic field.

This chapter describes the issue of MRI-based attenuation correction and presents an in-depth review of the various solutions proposed in the recent literature.

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References

  1. Schmand M, Burbar Z, Corbeil J, Zhang N, Michael C, Byars L, et al. BrainPET: First human tomograph for simultaneous (functional) PET and MR imaging. J Nucl Med Meeting Abstracts. 2007;48(MeetingAbstracts_2):45P.

    Google Scholar 

  2. Zaidi H, Ojha N, Morich M, Griesmer J, Hu Z, Maniawski P, et al. Design and performance evaluation of a whole-body ingenuity TF PET-MRI system. Phys Med Biol. 2011;56(10):3091–3106. Epub 2011/04/22. https://doi.org/10.1088/0031-9155/56/10/013.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Veit-Haibach P, Kuhn FP, Wiesinger F, Delso G, von Schulthess G. PET-MR imaging using a tri-modality PET/CT-MR system with a dedicated shuttle in clinical routine. Magn Reson Mater Phys. 2013;26(1):25–35. Epub 2012/10/12. https://doi.org/10.1007/s10334-012-0344-5.

    Article  Google Scholar 

  4. Delso G, Furst S, Jakoby B, Ladebeck R, Ganter C, Nekolla SG, et al. Performance measurements of the Siemens mMR integrated whole-body PET/MR scanner. J Nucl Med. 2011;52(12):1914–1922. Epub 2011/11/15. https://doi.org/10.2967/jnumed.111.092726.

    Article  PubMed  Google Scholar 

  5. Levin CS, Jansen F, Deller T, Maramraju SH, Grant A, Iagaru A. Performance of a high sensitivity time-of-flight PET ring operating simultaneously within a 3T MR system. EJNMMI Phys. 2014;1(Suppl 1):A72. Epub 2014/07/01. https://doi.org/10.1186/2197-7364-1-s1-a72.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Nuyts J, Stroobants S, Dupont P, Vleugels S, Flamen P, Mortelmans L. Reducing loss of image quality because of the attenuation artifact in uncorrected PET whole-body images. J Nucl Med. 2002;43(8):1054–62. Epub 2002/08/07.

    PubMed  Google Scholar 

  7. Keereman V, Holen RV, Mollet P, Vandenberghe S. The effect of errors in segmented attenuation maps on PET quantification. Med Phys. 2011;38(11):6010–6019. Epub 2011/11/04. https://doi.org/10.1118/1.3651640.

    Article  PubMed  Google Scholar 

  8. Meikle SR, Dahlbom M, Cherry SR. Attenuation correction using count-limited transmission data in positron emission tomography. J Nucl Med. 1993;34(1):143–50. Epub 1993/01/01.

    CAS  PubMed  Google Scholar 

  9. Kinahan PE, Townsend DW, Beyer T, Sashin D. Attenuation correction for a combined 3D PET/CT scanner. Med Phys. 1998;25(10):2046–53. Epub 1998/11/04.

    Article  CAS  PubMed  Google Scholar 

  10. Burger C, Goerres G, Schoenes S, Buck A, Lonn AH, Von Schulthess GK. PET attenuation coefficients from CT images: experimental evaluation of the transformation of CT into PET 511-keV attenuation coefficients. Eur J Nucl Med Mol Imaging. 2002;29(7):922–927. Epub 2002/07/12. https://doi.org/10.1007/s00259-002-0796-3.

    Article  CAS  PubMed  Google Scholar 

  11. Kamel E, Hany TF, Burger C, Treyer V, Lonn AH, von Schulthess GK, et al. CT vs 68Ge attenuation correction in a combined PET/CT system: evaluation of the effect of lowering the CT tube current. Eur J Nucl Med Mol Imaging. 2002;29(3):346–50. Epub 2002/05/11.

    Article  CAS  PubMed  Google Scholar 

  12. Visvikis D, Costa DC, Croasdale I, Lonn AH, Bomanji J, Gacinovic S, et al. CT-based attenuation correction in the calculation of semi-quantitative indices of [18F]FDG uptake in PET. Eur J Nucl Med Mol Imaging. 2003;30(3):344–353. Epub 2003/03/14. https://doi.org/10.1007/s00259-002-1070-4.

    Article  CAS  PubMed  Google Scholar 

  13. Vandenberghe S, Marsden PK. PET-MRI: a review of challenges and solutions in the development of integrated multimodality imaging. Phys Med Biol. 2015;60(4):R115.

    Article  PubMed  Google Scholar 

  14. Hofmann M, Pichler B, Scholkopf B, Beyer T. Towards quantitative PET/MRI: a review of MR-based attenuation correction techniques. Eur J Nucl Med Mol Imaging. 2009;36(Suppl 1):S93–104. Epub 2008/12/24. https://doi.org/10.1007/s00259-008-1007-7.

    Article  PubMed  Google Scholar 

  15. Wagenknecht G, Kaiser HJ, Mottaghy FM, Herzog H. MRI for attenuation correction in PET: methods and challenges. Magn Reson Mater Phys. 2013;26(1):99–113. Epub 2012/11/28. https://doi.org/10.1007/s10334-012-0353-4.

    Article  Google Scholar 

  16. Bezrukov I, Mantlik F, Schmidt H, Scholkopf B, Pichler BJ. MR-based PET attenuation correction for PET/MR imaging. Semin Nucl Med. 2013;43(1):45–59. Epub 2012/11/28. https://doi.org/10.1053/j.semnuclmed.2012.08.002.

    Article  PubMed  Google Scholar 

  17. Visvikis D, Monnier F, Bert J, Hatt M, Fayad H. PET/MR attenuation correction: where have we come from and where are we going? Eur J Nucl Med. 2014;41(6):1172–5. https://doi.org/10.1007/s00259-014-2748-0.

    Article  Google Scholar 

  18. Beyer T, Lassen ML, Boellaard R, Delso G, Yaqub M, Sattler B, et al. Investigating the state-of-the-art in whole-body MR-based attenuation correction: an intra-individual, inter-system, inventory study on three clinical PET/MR systems. MAGMA. 2016;29(1):75–87. Epub 2016/01/08. https://doi.org/10.1007/s10334-015-0505-4.

    Article  PubMed  Google Scholar 

  19. Schulz V, Torres-Espallardo I, Renisch S, Hu Z, Ojha N, Bornert P, et al. Automatic, three-segment, MR-based attenuation correction for whole-body PET/MR data. Eur J Nucl Med Mol Imaging. 2011;38(1):138–152. Epub 2010/10/06. https://doi.org/10.1007/s00259-010-1603-1.

    Article  CAS  PubMed  Google Scholar 

  20. Martinez-Moller A, Souvatzoglou M, Delso G, Bundschuh RA, Chefd’hotel C, Ziegler SI, et al. Tissue classification as a potential approach for attenuation correction in whole-body PET/MRI: evaluation with PET/CT data. J Nucl Med. 2009;50(4):520–526. Epub 2009/03/18. https://doi.org/10.2967/jnumed.108.054726.

    Article  PubMed  Google Scholar 

  21. Wollenweber SD, Ambwani S, Lonn AHR, Shanbhag DD, Thiruvenkadam S, Kaushik S, et al. Comparison of 4-class and continuous fat/water methods for whole-body, MR-based PET attenuation correction. IEEE Trans Nucl Sci. 2013;60(5):3391–8. https://doi.org/10.1109/tns.2013.2278759.

    Article  Google Scholar 

  22. Navalpakkam BK, Braun H, Kuwert T, Quick HH. Magnetic resonance-based attenuation correction for PET/MR hybrid imaging using continuous valued attenuation maps. Investig Radiol. 2013;48(5):323–332. Epub 2013/02/28. https://doi.org/10.1097/RLI.0b013e318283292f.

    Article  Google Scholar 

  23. Ouyang Y, Judenhofer MS, Walton JH, Marik J, Williams SP, Cherry SR. Simultaneous PET/MRI imaging during mouse cerebral hypoxia-ischemia. J Vis Exp: JoVE. 2015;103:e52728. Epub 2015/10/06. https://doi.org/10.3791/52728.

    Article  CAS  Google Scholar 

  24. Dixon WT. Simple proton spectroscopic imaging. Radiology. 1984;153(1):189–194. Epub 1984/10/01. https://doi.org/10.1148/radiology.153.1.6089263.

    Article  CAS  PubMed  Google Scholar 

  25. Ma J. Dixon techniques for water and fat imaging. J Magn Reson Imaging: JMRI. 2008;28(3):543–558. Epub 2008/09/09. https://doi.org/10.1002/jmri.21492.

    Article  PubMed  Google Scholar 

  26. Du J, Carl M, Bydder M, Takahashi A, Chung CB, Bydder GM. Qualitative and quantitative ultrashort echo time (UTE) imaging of cortical bone. J Magn Reson. 2010;207(2):304–311. Epub 2010/10/29. https://doi.org/10.1016/j.jmr.2010.09.013.

    Article  CAS  PubMed  Google Scholar 

  27. Samarin A, Burger C, Wollenweber SD, Crook DW, Burger IA, Schmid DT, et al. PET/MR imaging of bone lesions – implications for PET quantification from imperfect attenuation correction. Eur J Nucl Med Mol Imaging. 2012;39(7):1154–1160. Epub 2012/04/25. https://doi.org/10.1007/s00259-012-2113-0.

    Article  PubMed  Google Scholar 

  28. Teuho J, Johansson J, Linden J, Saunavaara V, Tolvanen T, Teras M, editors. Quantitative bias in PET/MR from attenuation correction and reconstruction: a comparison with PET and PET/CT with an anatomical brain phantom and Hoffman brain phantom. In: Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE, October 27 2013–November 2 2013.

    Google Scholar 

  29. Keller SH, Holm S, Hansen AE, Sattler B, Andersen F, Klausen TL, et al. Image artifacts from MR-based attenuation correction in clinical, whole-body PET/MRI. Magn Reson Mater Phys. 2013;26(1):173–181. Epub 2012/09/22. https://doi.org/10.1007/s10334-012-0345-4.

    Article  Google Scholar 

  30. Aznar MC, Sersar R, Saabye J, Ladefoged CN, Andersen FL, Rasmussen JH, et al. Whole-body PET/MRI: the effect of bone attenuation during MR-based attenuation correction in oncology imaging. Eur J Radiol. 2014;83(7):1177–1183. Epub 2014/05/02. https://doi.org/10.1016/j.ejrad.2014.03.022.

    Article  CAS  PubMed  Google Scholar 

  31. Izquierdo-Garcia D, Sawiak S, Knesaurek K, Narula J, Fuster V, Machac J, et al. Comparison of MR-based attenuation correction and CT-based attenuation correction of whole-body PET/MR imaging. Eur J Nucl Med. 2014;41(8):1574–84. https://doi.org/10.1007/s00259-014-2751-5.

    Article  Google Scholar 

  32. Bezrukov I, Schmidt H, Gatidis S, Mantlik F, Schäfer JF, Schwenzer N, et al. Quantitative evaluation of segmentation- and atlas-based attenuation correction for PET/MR on pediatric patients. J Nucl Med. 2015;56(7):1067–74. https://doi.org/10.2967/jnumed.114.149476.

    Article  PubMed  Google Scholar 

  33. Andersen FL, Ladefoged CN, Beyer T, Keller SH, Hansen AE, Hojgaard L, et al. Combined PET/MR imaging in neurology: MR-based attenuation correction implies a strong spatial bias when ignoring bone. NeuroImage. 2014;84:206–216. Epub 2013/09/03. https://doi.org/10.1016/j.neuroimage.2013.08.042.

    Article  PubMed  Google Scholar 

  34. Cabello J, Lukas M, Rota Kops E, Ribeiro A, Shah NJ, Yakushev I, et al. Comparison between MRI-based attenuation correction methods for brain PET in dementia patients. Eur J Nucl Med Mol Imaging. 2016;43:2190–2200. Epub 2016/04/21. https://doi.org/10.1007/s00259-016-3394-5.

    Article  CAS  PubMed  Google Scholar 

  35. Catana C, Van der Kouwe A, Benner T, Hamm C, Michel CJ, Fenchel M, et al. MR-based PET attenuation correction for neurological studies using dual-echo UTE sequences. In: Joint annual meeting of the International Society of Magnetic Resonance in Medicine and the European Society for Magnetic Resonance in Medicine and Biology, May, Stockholm; 2010. p. 3953.

    Google Scholar 

  36. Wiesinger F, Sacolick LI, Menini A, Kaushik SS, Ahn S, Veit-Haibach P, et al. Zero TE MR bone imaging in the head. Magn Reson Med. 2016;75(1):107–14.

    Google Scholar 

  37. Qian H, Shanbhag D, Kaushik S, Thiruvenkadam S, Novak G, Lonn A, et al. Whole-body PET/MR attenuation correction on a sequential, tri-modality PET/CT and MR imaging setup combing image segmentation, truncation completion and atlas-based skull segmentation. In: Proceedings new paradigms in molecular imaging conference, Elba, Italy, Tuesday, 29th May 2012.

    Google Scholar 

  38. Wollenweber SD, Ambwani S, Lonn AHR, Mullick R, Wiesinger F, Piti Z, et al., editors. Evaluation of an atlas-based PET head attenuation correction using PET/CT & MR patient data. In: Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE; October 27 2012–November 3 2012.

    Google Scholar 

  39. Sekine T, Buck A, Delso G, Ter Voert EE, Huellner M, Veit-Haibach P, et al. Evaluation of atlas-based attenuation correction for integrated PET/MR in human brain: application of a head atlas and comparison to true CT-based attenuation correction. J Nucl Med. 2016;57(2):215–220. Epub 2015/10/24. https://doi.org/10.2967/jnumed.115.159228.

    Article  CAS  PubMed  Google Scholar 

  40. Hofmann M, Steinke F, Scheel V, Charpiat G, Farquhar J, Aschoff P, et al. MRI-based attenuation correction for PET/MRI: a novel approach combining pattern recognition and atlas registration. J Nucl Med. 2008;49(11):1875–1883. Epub 2008/10/18. https://doi.org/10.2967/jnumed.107.049353.

    Article  PubMed  Google Scholar 

  41. Burgos N, Cardoso MJ, Thielemans K, Modat M, Pedemonte S, Dickson J, et al. Attenuation correction synthesis for hybrid PET-MR scanners: application to brain studies. IEEE Trans Med Imaging. 2014;33(12):2332–2341. Epub 2014/07/24. https://doi.org/10.1109/TMI.2014.2340135.

    Article  PubMed  Google Scholar 

  42. Chen Y, Juttukonda M, Su Y, Benzinger T, Rubin BG, Lee YZ, et al. Probabilistic air segmentation and sparse regression estimated pseudo CT for PET/MR attenuation correction. Radiology. 2015;275(2):562–569. Epub 2014/12/19. https://doi.org/10.1148/radiol.14140810.

    Article  PubMed  Google Scholar 

  43. Torrado-Carvajal A, Herraiz JL, Alcain E, Montemayor AS, Garcia-Canamaque L, Hernandez-Tamames JA, et al. Fast patch-based pseudo-CT synthesis from T1-weighted MR images for PET/MR attenuation correction in brain studies. J Nucl Med. 2016;57(1):136–143 . Epub 2015/10/24. https://doi.org/10.2967/jnumed.115.156299.

    Article  CAS  PubMed  Google Scholar 

  44. Keereman V, Fierens Y, Broux T, De Deene Y, Lonneux M, Vandenberghe S. MRI-based attenuation correction for PET/MRI using ultrashort echo time sequences. J Nucl Med. 2010;51(5):812–818. Epub 2010/05/05. https://doi.org/10.2967/jnumed.109.065425.

    Article  PubMed  Google Scholar 

  45. Delso G, Wiesinger F, Sacolick LI, Kaushik SS, Shanbhag DD, Hullner M, et al. Clinical evaluation of zero-echo-time MR imaging for the segmentation of the skull. J Nucl Med. 2015;56(3):417–422. Epub 2015/02/14. https://doi.org/10.2967/jnumed.114.149997.

    Article  PubMed  Google Scholar 

  46. Hu L, Su K-H, Pereira GC, Grover A, Traughber B, Traughber M, et al. k-space sampling optimization for ultrashort TE imaging of cortical bone: applications in radiation therapy planning and MR-based PET attenuation correction. Med Phys. 2014;41(10):102301. https://doi.org/10.1118/1.4894709.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Cabello J, Lukas M, Förster S, Pyka T, Nekolla SG, Ziegler SI. MR-based attenuation correction using UTE pulse sequences in dementia patients. J Nucl Med. 2015;56:423–9. https://doi.org/10.2967/jnumed.114.146308.

    Article  PubMed  Google Scholar 

  48. Khateri P, Saligheh Rad H, Jafari AH, Fathi Kazerooni A, Akbarzadeh A, Shojae Moghadam M, et al. Generation of a four-class attenuation map for MRI-based attenuation correction of PET data in the head area using a novel combination of STE/Dixon-MRI and FCM clustering. Mol Imaging Biol. 2015;17(6):884–892. Epub 2015/04/29. https://doi.org/10.1007/s11307-015-0849-1.

    Article  CAS  PubMed  Google Scholar 

  49. Berker Y, Franke J, Salomon A, Palmowski M, Donker HC, Temur Y, et al. MRI-based attenuation correction for hybrid PET/MRI systems: a 4-class tissue segmentation technique using a combined ultrashort-echo-time/Dixon MRI sequence. J Nucl Med. 2012;53(5):796–804. Epub 2012/04/17. https://doi.org/10.2967/jnumed.111.092577.

    Article  PubMed  Google Scholar 

  50. Dickson JC, O’Meara C, Barnes A. A comparison of CT- and MR-based attenuation correction in neurological PET. Eur J Nucl Med Mol Imaging. 2014;41(6):1176–1189. Epub 2014/01/16. https://doi.org/10.1007/s00259-013-2652-z.

    Article  PubMed  Google Scholar 

  51. Roy S, Wang WT, Carass A, Prince JL, Butman JA, Pham DL. PET attenuation correction using synthetic CT from ultrashort echo-time MR imaging. J Nucl Med. 2014;55(12):2071–2077. Epub 2014/11/22. https://doi.org/10.2967/jnumed.114.143958.

    Article  PubMed  Google Scholar 

  52. Johansson A, Karlsson M, Nyholm T. CT substitute derived from MRI sequences with ultrashort echo time. Med Phys. 2011;38(5):2708–14.

    Article  PubMed  Google Scholar 

  53. Delso G, Zeimpekis K, Carl M, Wiesinger F, Hullner M, Veit-Haibach P. Cluster-based segmentation of dual-echo ultra-short echo time images for PET/MR bone localization. EJNMMI Phys. 2014;1(1):7. Epub 2015/10/27. https://doi.org/10.1186/2197-7364-1-7.

    Article  PubMed  PubMed Central  Google Scholar 

  54. Paulus DH, Quick HH, Geppert C, Fenchel M, Zhan Y, Hermosillo G, et al. Whole-body PET/MR imaging: quantitative evaluation of a novel model-based MR attenuation correction method including bone. J Nucl Med. 2015;56(7):1061–6. https://doi.org/10.2967/jnumed.115.156000.

    Article  PubMed  Google Scholar 

  55. Beyer T, Bockisch A, Kühl H, Martinez M-J. Whole-body 18F-FDG PET/CT in the presence of truncation artifacts. J Nucl Med. 2006;47(1):91–9.

    PubMed  Google Scholar 

  56. Delso G, Martinez-Moller A, Bundschuh RA, Nekolla SG, Ziegler SI. The effect of limited MR field of view in MR/PET attenuation correction. Med Phys. 2010;37(6):2804–12. Epub 2010/07/17.

    Article  PubMed  Google Scholar 

  57. Mawlawi O, Erasmus JJ, Pan T, Cody DD, Campbell R, Lonn AH, et al. Truncation artifact on PET/CT: impact on measurements of activity concentration and assessment of a correction algorithm. AJR Am J Roentgenol. 2006;186(5):1458–1467. Epub 2006/04/25. https://doi.org/10.2214/AJR.05.0255.

    Article  PubMed  Google Scholar 

  58. Blumhagen JO, Braun H, Ladebeck R, Fenchel M, Faul D, Scheffler K, et al. Field of view extension and truncation correction for MR-based human attenuation correction in simultaneous MR/PET imaging. Med Phys. 2014;41(2):022303. Epub 2014/02/11. https://doi.org/10.1118/1.4861097.

    Article  PubMed  Google Scholar 

  59. Blumhagen JO, Ladebeck R, Fenchel M, Scheffler K. MR-based field-of-view extension in MR/PET: B0 homogenization using gradient enhancement (HUGE). Magn Reson Med. 2012. https://doi.org/10.1002/mrm.24555.

  60. Schramm G, Langner J, Hofheinz F, Petr J, Lougovski A, Beuthien-Baumann B, et al. Influence and compensation of truncation artifacts in MR-based attenuation correction in PET/MR. IEEE Trans Med Imaging. 2013;32(11):2056–63. https://doi.org/10.1109/tmi.2013.2272660.

    Article  CAS  PubMed  Google Scholar 

  61. Qian H, Shanbhag D, Kaushik S, Thiruvenkadam S, Novak G, Lonn A, et al. Whole-body PET/MR attenuation correction combining image segmentation, truncation completion and atlas-based skull segmentation PET/MR and SPECT/MR. In: New paradigms for combined modalities in molecular imaging conference; Elba2012.

    Google Scholar 

  62. Nuyts J, Bal G, Kehren F, Fenchel M, Michel C, Watson C. Completion of a truncated attenuation image from the attenuated PET emission data. IEEE Trans Med Imaging. 2013;32(2):237–246. Epub 2012/09/28. https://doi.org/10.1109/TMI.2012.2220376.

    Article  PubMed  Google Scholar 

  63. Conti M. Why is TOF PET reconstruction a more robust method in the presence of inconsistent data? Phys Med Biol. 2011;56(1):155–168. Epub 2010/12/02. https://doi.org/10.1088/0031-9155/56/1/010.

    Article  PubMed  Google Scholar 

  64. Mehranian A, Zaidi H. Emission-based estimation of lung attenuation coefficients for attenuation correction in time-of-flight PET/MR. Phys Med Biol. 2015;60(12):4813–4833. Epub 2015/06/06. https://doi.org/10.1088/0031-9155/60/12/4813.

    Article  PubMed  Google Scholar 

  65. Nuyts J, Dupont P, Stroobants S, Benninck R, Mortelmans L, Suetens P. Simultaneous maximum a posteriori reconstruction of attenuation and activity distributions from emission sinograms. IEEE Trans Med Imaging. 1999;18(5):393–403. Epub 1999/07/23. https://doi.org/10.1109/42.774167.

    Article  CAS  PubMed  Google Scholar 

  66. Krol A, Bowsher JE, Manglos SH, Feiglin DH, Tornai MP, Thomas FD. An EM algorithm for estimating SPECT emission and transmission parameters from emission data only. IEEE Trans Med Imaging. 2001;20(3):218–32. https://doi.org/10.1109/42.918472.

    Article  CAS  PubMed  Google Scholar 

  67. Mihlin A, Levin CS, editors. An MLEM method for joint tissue activity distribution and photon attenuation map reconstruction in PET. In: 2013 IEEE nuclear science symposium and medical imaging conference (2013 NSS/MIC), October 27 2013–November 2 2013.

    Google Scholar 

  68. Bousse A, Bertolli O, Atkinson D, Arridge S, Ourselin S, Hutton BF, et al. Maximum-likelihood joint image reconstruction/motion estimation in attenuation-corrected respiratory gated PET/CT using a single attenuation map. IEEE Trans Med Imaging. 2016;35(1):217–228. Epub 2015/08/11. https://doi.org/10.1109/tmi.2015.2464156.

    Article  PubMed  Google Scholar 

  69. Tomitani T. Image reconstruction and noise evaluation in photon time-of-flight assisted positron emission tomography. IEEE Trans Nucl Sci. 1981;28(6):4581–9. https://doi.org/10.1109/tns.1981.4335769.

    Article  Google Scholar 

  70. Salomon A, Goedicke A, Schweizer B, Aach T, Schulz V. Simultaneous reconstruction of activity and attenuation for PET/MR. IEEE Trans Med Imaging. 2011;30(3):804–813. Epub 2010/12/02. https://doi.org/10.1109/TMI.2010.2095464.

    Article  PubMed  Google Scholar 

  71. Defrise M, Rezaei A, Nuyts J. Time-of-flight PET data determine the attenuation sinogram up to a constant. Phys Med Biol. 2012;57(4):885.

    Article  PubMed  Google Scholar 

  72. Rezaei A, Defrise M, Bal G, Michel C, Conti M, Watson C, et al. Simultaneous reconstruction of activity and attenuation in time-of-flight PET. IEEE Trans Med Imaging. 2012;31(12):2224–2233. Epub 2012/08/18. https://doi.org/10.1109/TMI.2012.2212719.

    Article  PubMed  Google Scholar 

  73. Boellaard R, Hofman MB, Hoekstra OS, Lammertsma AA. Accurate PET/MR quantification using time of flight MLAA image reconstruction. Mol Imaging Biol. 2014;16(4):469–477. Epub 2014/01/17. https://doi.org/10.1007/s11307-013-0716-x.

    Article  CAS  PubMed  Google Scholar 

  74. Mehranian A, Zaidi H. Joint estimation of activity and attenuation in whole-body TOF PET/MRI using constrained Gaussian mixture models. IEEE Trans Med Imaging 2015. Epub 2015/03/15. doi: https://doi.org/10.1109/TMI.2015.2409157.

  75. Berker Y, Li Y. Attenuation correction in emission tomography using the emission data – a review. Med Phys. 2016;43(2):807–32. https://doi.org/10.1118/1.4938264.

    Article  PubMed  PubMed Central  Google Scholar 

  76. Defrise M, Rezaei A, Nuyts J. Transmission-less attenuation correction in time-of-flight PET: analysis of a discrete iterative algorithm. Phys Med Biol. 2014;59(4):1073–1095. Epub 2014/02/08. https://doi.org/10.1088/0031-9155/59/4/1073.

    Article  PubMed  Google Scholar 

  77. Rezaei A, Defrise M, Nuyts J. ML-reconstruction for TOF-PET with simultaneous estimation of the attenuation factors. IEEE Trans Med Imaging. 2014;33(7):1563–1572. Epub 2014/04/25. https://doi.org/10.1109/TMI.2014.2318175.

    Article  PubMed  Google Scholar 

  78. Rezaei A, Michel C, Casey ME, Nuyts J. Simultaneous reconstruction of the activity image and registration of the CT image in TOF-PET. Phys Med Biol. 2016;61(4):1852–1874. Epub 2016/02/09. https://doi.org/10.1088/0031-9155/61/4/1852.

    Article  PubMed  Google Scholar 

  79. Bousse A, Bertolli O, Atkinson D, Arridge S, Ourselin S, Hutton BF, et al. Maximum-likelihood joint image reconstruction and motion estimation with misaligned attenuation in TOF-PET/CT. Phys Med Biol. 2016;61(3):L11–L19. Epub 2016/01/21. https://doi.org/10.1088/0031-9155/61/3/l11.

    Article  CAS  PubMed  Google Scholar 

  80. Defrise M, Salvo K, Rezaei A, Nuyts J, Panin V, Casey M, editors. ML estimation of the scatter scaling in TOF PET. In: 2014 IEEE nuclear science symposium and medical imaging conference (NSS/MIC), 8–15 November 2014.

    Google Scholar 

  81. Ahn S, Shanbhag D, Qian H, Kaushik S, Thiruvenkadam S, Manjeshwar R. Improved attenuation correction in PET/MRI by combining MR image segmentation and joint estimation approaches. J Nucl Med. 2013;54(Supplement 2):150.

    Google Scholar 

  82. Eldib M, Bini J, Faul DD, Oesingmann N, Tsoumpas C, Fayad ZA. Attenuation correction for magnetic resonance coils in combined PET/MR imaging: a review. PET Clin. 2016;11(2):151–160. Epub 2016/03/10. https://doi.org/10.1016/j.cpet.2015.10.004.

    Article  PubMed  Google Scholar 

  83. Wollenweber SD, Delso G, Deller T, Goldhaber D, Hullner M, Veit-Haibach P. Characterization of the impact to PET quantification and image quality of an anterior array surface coil for PET/MR imaging. MAGMA. 2014;27(2):149–159. Epub 2013/06/27. https://doi.org/10.1007/s10334-013-0388-1.

    Article  PubMed  Google Scholar 

  84. Delso G, Martinez-Moller A, Bundschuh RA, Ladebeck R, Candidus Y, Faul D, et al. Evaluation of the attenuation properties of MR equipment for its use in a whole-body PET/MR scanner. Phys Med Biol. 2010;55(15):4361–4374. Epub 2010/07/22. https://doi.org/10.1088/0031-9155/55/15/011.

    Article  CAS  PubMed  Google Scholar 

  85. MacDonald LR, Kohlmyer S, Liu C, Lewellen TK, Kinahan PE. Effects of MR surface coils on PET quantification. Med Phys. 2011;38(6):2948–56. Epub 2011/08/06.

    Article  PubMed  PubMed Central  Google Scholar 

  86. Ferguson A, McConathy J, Su Y, Hewing D, Laforest R. Attenuation effects of MR headphones during brain PET/MR studies. J Nucl Med Technol. 2014;42(2):93–100. Epub 2014/02/22. https://doi.org/10.2967/jnmt.113.131995.

    Article  PubMed  Google Scholar 

  87. Zhang B, Pal D, Hu Z, Ojha N, Guo T, Muswick G, et al., editors. Attenuation correction for MR table and coils for a sequential PET/MR system. In: Nuclear science symposium conference record (NSS/MIC). IEEE, October 24 2009–November 1 2009.

    Google Scholar 

  88. Mantlik F, Hofmann M, Werner MK, Sauter A, Kupferschlager J, Scholkopf B, et al. The effect of patient positioning aids on PET quantification in PET/MR imaging. Eur J Nucl Med Mol Imaging. 2011;38(5):920–929. Epub 2011/02/11. https://doi.org/10.1007/s00259-010-1721-9.

    Article  PubMed  Google Scholar 

  89. Aklan B, Paulus DH, Wenkel E, Braun H, Navalpakkam BK, Ziegler S, et al. Toward simultaneous PET/MR breast imaging: evaluation and integration of a radiofrequency breast coil. Med Phys. 2013;40(2):024301. https://doi.org/10.1118/1.4788642.

    Article  PubMed  Google Scholar 

  90. Eldib M, Faul D, Ladebeck R, Pawlak J, Doshi N. A method for estimating the attenuation correction for the MR hardware of an MR/PET scanner. J Nucl Med. 2012;53(supplement 1):371.

    Google Scholar 

  91. Paulus DH, Braun H, Aklan B, Quick HH. Simultaneous PET/MR imaging: MR-based attenuation correction of local radiofrequency surface coils. Med Phys. 2012;39(7):4306–4315. Epub 2012/07/27. https://doi.org/10.1118/1.4729716.

    Article  PubMed  Google Scholar 

  92. Kartmann R, Paulus DH, Braun H, Aklan B, Ziegler S, Navalpakkam BK, et al. Integrated PET/MR imaging: automatic attenuation correction of flexible RF coils. Med Phys. 2013;40(8):082301. Epub 2013/08/10. https://doi.org/10.1118/1.4812685.

    Article  PubMed  Google Scholar 

  93. Eldib M, Bini J, Robson PM, Calcagno C, Faul DD, Tsoumpas C, et al. Markerless attenuation correction for carotid MRI surface receiver coils in combined PET/MR imaging. Phys Med Biol 2015;60(12):4705-4717. Epub 2015/05/29. doi: https://doi.org/10.1088/0031-9155/60/12/4705.

  94. Kamel EM, Burger C, Buck A, von Schulthess GK, Goerres GW. Impact of metallic dental implants on CT-based attenuation correction in a combined PET/CT scanner. Eur Radiol. 2003;13(4):724–728. Epub 2003/03/29. https://doi.org/10.1007/s00330-002-1564-2.

    Article  PubMed  Google Scholar 

  95. Brendle C, Schmidt H, Oergel A, Bezrukov I, Mueller M, Schraml C, et al. Segmentation-based attenuation correction in positron emission tomography/magnetic resonance: erroneous tissue identification and its impact on positron emission tomography interpretation. Investig Radiol. 2015;50(5):339–346. Epub 2015/01/15. https://doi.org/10.1097/RLI.0000000000000131.

    Article  Google Scholar 

  96. Davison H, Voert ET, Barbosa FDG, Veit-Haibach P, Delso G. Incorporation of TOF information reduces metal artifacts in simultaneous PET/MR: a simulation study. Investig Radiol 2015;50(7):423–9.

    Google Scholar 

  97. Schramm G, Maus J, Hofheinz F, Petr J, Lougovski A, Beuthien-Baumann B, et al. Evaluation and automatic correction of metal-implant-induced artifacts in MR-based attenuation correction in whole-body PET/MR imaging. Phys Med Biol. 2014;59(11):2713–2726. Epub 2014/05/08. https://doi.org/10.1088/0031-9155/59/11/2713.

    Article  CAS  PubMed  Google Scholar 

  98. Ladefoged C, Andersen F, Keller S, Löfgren J, Hansen A, Holm S, et al. PET/MR imaging of the pelvis in the presence of endoprostheses: reducing image artifacts and increasing accuracy through inpainting. Eur J Nucl Med. 2013:1–8. https://doi.org/10.1007/s00259-012-2316-4.

  99. Burger IA, Wurnig MC, Becker AS, Kenkel D, Delso G, Veit-Haibach P, et al. Hybrid PET/MR imaging: an algorithm to reduce metal artifacts from dental implants in Dixon-based attenuation map generation using a multiacquisition variable-resonance image combination sequence. J Nucl Med. 2015;56(1):93–7. https://doi.org/10.2967/jnumed.114.145862.

    Article  PubMed  Google Scholar 

  100. Mehranian A, Zaidi H. Impact of time-of-flight PET on quantification errors in MR imaging-based attenuation correction. J Nucl Med. 2015;56(4):635–641. Epub 2015/03/07. https://doi.org/10.2967/jnumed.114.148817.

    Article  PubMed  Google Scholar 

  101. Pan T, Mawlawi O, Nehmeh SA, Erdi YE, Luo D, Liu HH, et al. Attenuation correction of PET images with respiration-averaged CT images in PET/CT. J Nucl Med. 2005;46(9):1481–7. Epub 2005/09/15.

    PubMed  Google Scholar 

  102. Alessio AM, Kohlmyer S, Branch K, Chen G, Caldwell J, Kinahan P. Cine CT for attenuation correction in cardiac PET/CT. J Nucl Med. 2007;48(5):794–801. https://doi.org/10.2967/jnumed.106.035717.

    Article  PubMed  Google Scholar 

  103. Ho CY, Wu TH, Mok GS. Interpolated average CT for PET attenuation correction in different lesion characteristics. Nuclear Med Commun. 2015. Epub 2015/11/10. https://doi.org/10.1097/mnm.0000000000000435.

  104. Catana C. Motion correction options in PET/MRI. Semin Nucl Med. 2015;45(3):212–223. Epub 2015/04/07. https://doi.org/10.1053/j.semnuclmed.2015.01.001.

    Article  PubMed  PubMed Central  Google Scholar 

  105. Bal G, Fenchel M, Panin V, Koesters T, Fei G, Howe C, et al., editors. Multi-bed elastic motion correction for whole body MR-PET. In: 2014 IEEE nuclear science symposium and medical imaging conference (NSS/MIC); 2014. 8–15 November 2014.

    Google Scholar 

  106. Catana C, Benner T, van der Kouwe A, Byars L, Hamm M, Chonde DB, et al. MRI-assisted PET motion correction for neurologic studies in an integrated MR-PET scanner. J Nucl Med. 2011;52(1):154–161. Epub 2010/12/30. https://doi.org/10.2967/jnumed.110.079343.

    Article  PubMed  Google Scholar 

  107. Delso G, Zeimpekis K, Wiesinger F, Khalighi M, Carl M, Veit-Haibach P. Impact of patient motion on bone attenuation maps. J Nucl Med. 2014;55(supplement 1):2104.

    Google Scholar 

  108. Jensen RR, Olesen OV, Benjaminsen C, Højgaard L, Larsen R. Markerless PET motion correction: tracking in narrow gantries through optical fibers. IEEE nuclear science symposium and medical imaging conference (NSS/MIC); 2014.

    Google Scholar 

  109. Lois C, Bezrukov I, Schmidt H, Schwenzer N, Werner M, Kupferschläger J, et al. Effect of MR contrast agents on quantitative accuracy of PET in combined whole-body PET/MR imaging. Eur J Nucl Med. 2012;39(11):1756–66. https://doi.org/10.1007/s00259-012-2190-0.

    Article  CAS  Google Scholar 

  110. Ruhlmann V, Heusch P, Kuhl H, Beiderwellen K, Antoch G, Forsting M, et al. Potential influence of Gadolinium contrast on image segmentation in MR-based attenuation correction with Dixon sequences in whole-body 18F-FDG PET/MR. MAGMA. 2015. Epub 2015/12/17. https://doi.org/10.1007/s10334-015-0516-1.

  111. Soderlund AT, Chaal J, Tjio G, Totman JJ, Conti M, Townsend DW. Beyond 18F-FDG: characterization of PET/CT and PET/MR scanners for a comprehensive set of positron emitters of growing application – 18F, 11C, 89Zr, 124I, 68Ga, and 90Y. J Nucl Med. 2015;56(8):1285–91. https://doi.org/10.2967/jnumed.115.156711.

    Article  CAS  PubMed  Google Scholar 

  112. Boellaard R, Rausch I, Beyer T, Delso G, Yaqub M, Quick HH, et al. Quality control for quantitative multicenter whole-body PET/MR studies: a NEMA image quality phantom study with three current PET/MR systems. Med Phys. 2015;42(10):5961. Epub 2015/10/03. https://doi.org/10.1118/1.4930962.

    Article  PubMed  Google Scholar 

  113. Ziegler S, Braun H, Ritt P, Hocke C, Kuwert T, Quick HH. Systematic evaluation of phantom fluids for simultaneous PET/MR hybrid imaging. J Nucl Med. 2013;54(8):1464–1471. Epub 2013/06/25. https://doi.org/10.2967/jnumed.112.116376.

    Article  CAS  PubMed  Google Scholar 

  114. Ziegler S, Jakoby BW, Braun H, Paulus DH, Quick HH. NEMA image quality phantom measurements and attenuation correction in integrated PET/MR hybrid imaging. EJNMMI Phys. 2015;2(1):18. Epub 2015/10/27. https://doi.org/10.1186/s40658-015-0122-3.

    Article  PubMed  PubMed Central  Google Scholar 

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Authors and Affiliations

  1. GE Healthcare, Waukesha, WI, USA

    Gaspar Delso

  2. Nuclear Medicine and Medical Imaging Research Center, K. U. Leuven, Leuven, Belgium

    Johan Nuyts

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  1. Gaspar Delso
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  1. Division of Nuclear Medicine and Molecular Imaging, Stanford University, Stanford, CA, USA

    Andrei Iagaru

  2. Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA

    Thomas Hope

  3. Dept. of Nuclear Medicine, University of Zurich, Zurich, Switzerland

    Patrick Veit-Haibach

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Delso, G., Nuyts, J. (2018). PET/MRI: Attenuation Correction. In: Iagaru, A., Hope, T., Veit-Haibach, P. (eds) PET/MRI in Oncology. Springer, Cham. https://doi.org/10.1007/978-3-319-68517-5_4

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