Top

European Journal of Nuclear Medicine and Molecular Imaging

Published in:

13-01-2024 | Positron Emission Tomography | Editorial

Beyond stillness: the importance of tackling patient’s motion for reliable parametric imaging

Authors: Alessia Artesani, Laura Providência, Joyce van Sluis, Charalampos Tsoumpas

Published in: European Journal of Nuclear Medicine and Molecular Imaging | Issue 5/2024

Excerpt

Positron emission tomography (PET) is currently going through a technological revolution marked by the introduction of long axial field of view (LAFOV) PET systems, advanced processing tools based on artificial intelligence, and the implementation of kinetic models directly within the scanner console for dynamic acquisitions [1‐4]. The combination of these technologies is now opening new transformative possibilities in the field of nuclear medicine enabling researchers to glean more insightful information about physiological processes, interconnection between organs, and the differentiation of healthy, inflamed, and tumoral tissues [5, 6]. The significance of these emerging areas for clinical practice is further demonstrated by numerous studies that explore the feasibility and reliability of kinetic applications for tumour prognosis, particularly when employing [¹⁸F]FDG [7‐9]. …

Shi K, Tsoumpas C. Collection on total-body PET. EJNMMI Phys. 2023;10(1):42. https://doi.org/10.1186/s40658-023-00550-x.CrossRefPubMedPubMedCentral

Vandenberghe S, Moskal P, Karp JS. State of the art in total body PET. EJNMMI Phys. 2020;7(1):35. https://doi.org/10.1186/s40658-020-00290-2.CrossRefPubMedPubMedCentral

Dimitrakopoulou-Strauss A, Pan L, Sachpekidis C. Kinetic modeling and parametric imaging with dynamic PET for oncological applications: general considerations, current clinical applications, and future perspectives. Eur J Nucl Med Mol Imaging. 2021;48(1):21–39. https://doi.org/10.1007/s00259-020-04843-6.CrossRefPubMed

Glaudemans AWJM, et al. The first international network symposium on artificial intelligence and informatics in nuclear medicine: ‘The bright future of nuclear medicine is illuminated by artificial intelligence.’ Eur J Nucl Med Mol Imaging. 2023. https://doi.org/10.1007/s00259-023-06507-7.CrossRefPubMedPubMedCentral

Geist BK, et al. A methodological investigation of healthy tissue, hepatocellular carcinoma, and other lesions with dynamic 68Ga-FAPI-04 PET/CT imaging. EJNMMI Phys. 2021;8(1):8. https://doi.org/10.1186/s40658-021-00353-y.CrossRefPubMedPubMedCentral

van der Weijden CWJ, et al. Non-invasive kinetic modelling approaches for quantitative analysis of brain PET studies. Eur J Nucl Med Mol Imaging. 2023;50(6):1636–50. https://doi.org/10.1007/s00259-022-06057-4.CrossRefPubMedPubMedCentral

Dias AH, Hansen AK, Munk OL, Gormsen LC. Normal values for 18F-FDG uptake in organs and tissues measured by dynamic whole body multiparametric FDG PET in 126 patients. EJNMMI Res. 2022;12(1):15. https://doi.org/10.1186/s13550-022-00884-0.CrossRefPubMedPubMedCentral

Dias AH, Pedersen MF, Danielsen H, Munk OL, Gormsen LC. Clinical feasibility and impact of fully automated multiparametric PET imaging using direct Patlak reconstruction: evaluation of 103 dynamic whole-body 18F-FDG PET/CT scans. Eur J Nucl Med Mol Imaging. 2021;48(3):837–50. https://doi.org/10.1007/s00259-020-05007-2.CrossRefPubMed

Sari H, et al. Feasibility of using abbreviated scan protocols with population-based input functions for accurate kinetic modeling of [18F]-FDG datasets from a long axial FOV PET scanner. Eur J Nucl Med Mol Imaging. 2023;50(2):257–65. https://doi.org/10.1007/s00259-022-05983-7.CrossRefPubMed

10.

Kotasidis FA, Angelis GI, Anton-Rodriguez JM, Zaidi H. Robustness of post-reconstruction and direct kinetic parameter estimates under rigid head motion in dynamic brain PET imaging. Phys Med. 2018;53:40–55. https://doi.org/10.1016/j.ejmp.2018.08.006.CrossRefPubMed

11.

Sun T, et al. Motion correction and its impact on quantification in dynamic total-body 18F-fluorodeoxyglucose PET. EJNMMI Phys. 2022;9:62. https://doi.org/10.1186/s40658-022-00493-9.CrossRefPubMedPubMedCentral

12.

Herzog H, et al. Motion artifact reduction on parametric PET images of neuroreceptor binding. J Nucl Med. 2005;46(6):1059–65.PubMed

13.

Kolbitsch C, et al. Cardiac and respiratory motion correction for simultaneous cardiac PET/MR. J Nucl Med. 2017;58(5):846–52. https://doi.org/10.2967/jnumed.115.171728.CrossRefPubMedPubMedCentral

14.

Robson PM, et al. Correction of respiratory and cardiac motion in cardiac PET/MR using MR-based motion modeling. Phys Med Biol. 2018;63(22):225011. https://doi.org/10.1088/1361-6560/aaea97.CrossRefPubMedPubMedCentral

15.

Yu Y, et al. Event-by-event continuous respiratory motion correction for dynamic PET imaging. J Nucl Med. 2016;57(7):1084–90. https://doi.org/10.2967/jnumed.115.167676.CrossRefPubMed

16.

Hunter CRRN, Klein R, Alessio AM, deKemp RA. Patient body motion correction for dynamic cardiac PET-CT by attenuation-emission alignment according to projection consistency conditions. Med Phys. 2019;46(4):1697–706. https://doi.org/10.1002/mp.13419.CrossRefPubMedPubMedCentral

17.

Artesani A, van Sluis J, van Snick JH, Providência L, Noordzij W, Tsoumpas C. Impact of patient motion on parametric PET imaging. EJNMMI in press.

18.

Reed MB et al. Comparison of cardiac image-derived input functions for quantitative whole body [18F]FDG imaging with arterial blood sampling. Front Physiol. 2023;14. https://doi.org/10.3389/fphys.2023.1074052.

19.

Jiao J, et al. Direct parametric reconstruction with joint motion estimation/correction for dynamic brain PET data. IEEE Trans Med Imaging. 2017;36(1):203–13. https://doi.org/10.1109/TMI.2016.2594150.CrossRefPubMed

Title: Beyond stillness: the importance of tackling patient’s motion for reliable parametric imaging
Authors: Alessia Artesani
Laura Providência
Joyce van Sluis
Charalampos Tsoumpas
Publication date: 13-01-2024
Publisher: Springer Berlin Heidelberg
Keyword: Positron Emission Tomography
Published in: European Journal of Nuclear Medicine and Molecular Imaging / Issue 5/2024
Print ISSN: 1619-7070
Electronic ISSN: 1619-7089
DOI: https://doi.org/10.1007/s00259-024-06592-2

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Beyond stillness: the importance of tackling patient’s motion for reliable parametric imaging

Excerpt

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Excerpt

Please log in to get access to this content

Other articles of this Issue 5/2024

Effects of medication on dopamine transporter imaging using [123I]I-FP-CIT SPECT in routine practice

Pre-clinical evaluation of biomarkers for the early detection of nephrotoxicity following alpha-particle radioligand therapy

Detection of metabolic adaptation in a triple-negative breast cancer animal model with [18F]choline-PET imaging as a surrogate for drug resistance

Ultra-fast whole-body bone tomoscintigraphies achieved with a high-sensitivity 360° CZT camera and a dedicated deep-learning noise reduction algorithm

Therapeutic efficacy of an alpha-particle emitter labeled anti-GD2 humanized antibody against osteosarcoma—a proof of concept study

Letter to the Editor: FDG Liver Biodistribution