![Christopher Marshall BSc(Hons), MSc, PhD, FIPEM, CSci](https://profiles-cardiff.imgix.net/attachments/2498?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Professor Christopher Marshall
BSc(Hons), MSc, PhD, FIPEM, CSci
Teams and roles for Christopher Marshall
Director of Wales Research and Diagnostic PET Imaging Centre
Overview
Prof Marshall is a state registered Clinical Scientist specialising in Nuclear Medicine, Radiopharmaceutical Production, Quality Management and Positron Emission Tomography. Prof Marshall joined PETIC in 2010 to take up the post of Operations Director after spending 6 years as Head of Radioisotopes in Northern Ireland and previously working at Lincoln and Aberdeen. In 2013, Prof Marshall was promoted to Director of PETIC in 2013 and has since significantly increased patient throughput and research activity within the facility.
In 2000, Prof Marshall commenced a part time PhD with the University of Aberdeen and successfully submitted his thesis on the role of Molecular Imaging in Monitoring and Predicting the Response of Breast Cancer to Neoadjuvant Chemotherapy in 2004.
Prof Marshall’s major achievements include designing, commissioning and project managing the new nuclear medicine facilities at the Royal Victoria Hospital and Northern Ireland Cancer Centre and the cyclotron facilities in both Belfast and Cardiff and well as leading on the introduction of an all Wales PET service and the production of several novel radiotracers and radiometals.
Publication
2025
- Paisey, S. J. et al. 2025. Imaging of human stem cell-derived dopamine grafts correlates with behavioural recovery and reveals microstructural brain changes. Neurobiology of Disease 209 106910. (10.1016/j.nbd.2025.106910)
2024
- Smith, R. L. et al. 2024. NEMA NU 2-2018 evaluation and image quality optimization of a new generation digital 32-cm axial field-of-view Omni Legend PET-CT using a genetic evolutionary algorithm. Biomedical Physics & Engineering Express 10 (2) 025032. (10.1088/2057-1976/ad286c)
2023
- Alsyed, E. et al. 2023. A heterogeneous phantom study for investigating the stability of PET images radiomic features with varying reconstruction settings. Frontiers in Nuclear Medicine 3 (10.3389/fnume.2023.1078536)
2022
- Gendron, T. et al., 2022. Multi‐patient dose synthesis of [18F] Flumazenil via a copper‐mediated 18F‐fluorination. EJNMMI Radiopharmacy and Chemistry 7 5. (10.1186/s41181-022-00158-z)
2021
- Alsyed, E. et al. 2021. A self organizing map for exploratory analysis of PET radiomic features. Presented at: 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Boston, MA, USA 31 October -7 November 2020. 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE. (10.1109/NSS/MIC42677.2020.9507846)
- Smith, R. L. et al. 2021. Deep learning PET epilepsy detection with a novel symmetric loss convolutional autoencoder. Presented at: 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Boston, MA, USA 31 October -7 November 2020. 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE. , pp.1-3. (10.1109/NSS/MIC42677.2020.9507980)
2020
- Cavaliere, A. et al. 2020. Radiosynthesis of [18F]-labelled pro-nucleotides (ProTides). Molecules 25 (3) 704. (10.3390/molecules25030704)
- Fenwick, A. J. et al. 2020. Absolute standardisation and determination of the half-life and gamma emission intensities of 89Zr. Applied Radiation and Isotopes 166 109294. (10.1016/j.apradiso.2020.109294)
2019
- Alsyed, E. et al. 2019. The statistical influence of imaging time and segmentation volume on PET radiomic features: A preclinical study. Presented at: 2019 IEEE NSS-MIC Manchester, UK 26 October - 2 November 2019. Proceedings of the IEEE Nuclear Science Symposium and Medical Imaging Conference. IEEE. , pp.1-4. (10.1109/NSS/MIC42101.2019.9059863)
- Foley, K. et al. 2019. Cyclo-oxygenase-2 expression is associated with mean standardised uptake value on 18F-fluorodeoxyglucose positron emission tomography in oesophageal adenocarcinoma. British Journal of Radiology 92 (1099) 20180668. (10.1259/bjr.20180668)
- Parkinson, C. et al. 2019. Machine-learned target volume delineation of 18F-FDG PET images after one cycle of induction chemotherapy. Physica Medica, European Journal of Medical Physics 61 , pp.85-93. (10.1016/j.ejmp.2019.04.020)
- Smith, R. L. et al. 2019. Reinforcement learning for object detection in PET imaging. Presented at: 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Manchester, England 26 October - 02 November 2019. 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE. , pp.1-4. (10.1109/NSS/MIC42101.2019.9060031)
- Watson, H. A. et al. 2019. L-selectin enhanced T cells improve the efficacy of cancer immunotherapy. Frontiers in Immunology 10 1321. (10.3389/fimmu.2019.01321)
- Whone, A. et al., 2019. Randomized trial of intermittent intraputamenal glial cell line-derived neurotrophic factor in Parkinson's disease. Brain 142 (3), pp.512-525. (10.1093/brain/awz023)
- Whone, A. L. et al., 2019. Extended treatment with glial cell line-derived neurotrophic factor in Parkinson's Disease. Journal of Parkinson's Disease 9 (2), pp.301-313. (10.3233/JPD-191576)
2018
- Parkinson, C. et al. 2018. Target volume delineation of PET post one cycle of induction chemotherapy in oropharyngeal cancer. Radiotherapy and Oncology 127 (S1), pp.S634-S635. EP-1126. (10.1016/S0167-8140(18)31436-1)
- Parkinson, C. et al. 2018. Dependency of patient risk stratification on PET target volume definition in oesophageal cancer. Presented at: ESTRO Barcelona, Spain 20-24 April 2018.
- Parkinson, C. et al. 2018. Evaluation of prognostic models developed using standardised image features from different PET automated segmentation methods. EJNMMI Research 8 29. (10.1186/s13550-018-0379-3)
- Parkinson, C. et al. 2018. ATLAAS - Investigation into the incorporation of morphological data on automated segmentation. Presented at: EANM Congress 2018: European Association of Nuclear Medicine. Dusseldorf, Germany 12-18 October 2018.
- Smith, R. L. et al. 2018. Deep learning pre-clinical medical image segmentation for automated organ-wise delineation of PET. Presented at: Annual Congress of the European Association of Nuclear Medicine Barcelona, Spain 12-16 October 2019. Vol. 45.
2017
- Berthon, B. et al., 2017. Head and neck target delineation using a novel PET automatic segmentation algorithm. Radiotherapy and Oncology 122 (2), pp.242-247. (10.1016/j.radonc.2016.12.008)
- Jolles, S. et al. 2017. FDG PET-CT imaging of therapeutic response in granulomatous lymphocytic interstitial lung disease (GLILD) in common variable immunodeficiency (CVID). Clinical & Experimental Immunology 187 (1), pp.138-145. (10.1111/cei.12856)
- Parkinson, C. et al. 2017. Impact of 18F-Choline PET scan acquisition time on delineation of GTV in prostate cancer [Poster Abstract]. Radiotherapy and Oncology 123 (S1), pp.S714-S715. (10.1016/S0167-8140(17)31768-1)
2016
- Berthon, B. et al., 2016. ATLAAS: an automatic decision tree-based learning algorithm for advanced image segmentation in positron emission tomography. Physics in Medicine and Biology 61 (13), pp.4855-4869. (10.1088/0031-9155/61/13/4855)
2015
- Berthon, B. et al. 2015. PETSTEP: Generation of synthetic PET lesions for fast evaluation of segmentation methods. Physica Medica 31 (8), pp.969-980. (10.1016/j.ejmp.2015.07.139)
- Berthon, B. et al. 2015. A novel phantom technique for evaluating the performance of PET auto-segmentation methods in delineating heterogeneous and irregular lesions. EJNMMI Physics 2 (1) 13. (10.1186/s40658-015-0116-1)
- Dabkowski, A. M. et al. 2015. Optimization of cyclotron production for radiometal of Zirconium 89. Acta Physica Polonica Series A 127 (5), pp.1479-1482. (10.12693/APhysPolA.127.1479)
- Marshall, C. et al. 2015. Implementation of routine production of [18F]-fallypride on the TRASIS all-in-one universal synthesizer. European Journal of Nuclear Medicine and Molecular Imaging 42 (S1), pp.S479. (10.1007/s00259-015-3198-z)
2014
- Marshall, C. et al. 2014. Quantification of the activity of tritium produced during the routine synthesis of 18F fluorodeoxyglucose for positron emission tomography. Journal of Radiological Protection 34 (2), pp.435-444. (10.1088/0952-4746/34/2/435)
2013
- Berthon, B. et al. 2013. Influence of cold walls on PET image quantification and volume segmentation: A phantom study. Medical Physics 40 (8) 082505. (10.1118/1.4813302)
2011
- Ferguson, D. et al., 2011. Measurement of long lived radioactive impurities retained in the disposable cassettes on the Tracerlab MX system during the production of [18F]FDG. Applied Radiation and Isotopes 69 (10), pp.1479-1485. (10.1016/j.apradiso.2011.05.028)
- Ferguson, D. et al., 2011. Investigation of staff finger doses during quality control of FDG production. Health Physics 100 (5), pp.523-529. (10.1097/HP.0b013e3181f1e9b5)
Articles
- Alsyed, E. et al. 2023. A heterogeneous phantom study for investigating the stability of PET images radiomic features with varying reconstruction settings. Frontiers in Nuclear Medicine 3 (10.3389/fnume.2023.1078536)
- Berthon, B. et al., 2017. Head and neck target delineation using a novel PET automatic segmentation algorithm. Radiotherapy and Oncology 122 (2), pp.242-247. (10.1016/j.radonc.2016.12.008)
- Berthon, B. et al. 2015. PETSTEP: Generation of synthetic PET lesions for fast evaluation of segmentation methods. Physica Medica 31 (8), pp.969-980. (10.1016/j.ejmp.2015.07.139)
- Berthon, B. et al. 2013. Influence of cold walls on PET image quantification and volume segmentation: A phantom study. Medical Physics 40 (8) 082505. (10.1118/1.4813302)
- Berthon, B. et al., 2016. ATLAAS: an automatic decision tree-based learning algorithm for advanced image segmentation in positron emission tomography. Physics in Medicine and Biology 61 (13), pp.4855-4869. (10.1088/0031-9155/61/13/4855)
- Berthon, B. et al. 2015. A novel phantom technique for evaluating the performance of PET auto-segmentation methods in delineating heterogeneous and irregular lesions. EJNMMI Physics 2 (1) 13. (10.1186/s40658-015-0116-1)
- Cavaliere, A. et al. 2020. Radiosynthesis of [18F]-labelled pro-nucleotides (ProTides). Molecules 25 (3) 704. (10.3390/molecules25030704)
- Dabkowski, A. M. et al. 2015. Optimization of cyclotron production for radiometal of Zirconium 89. Acta Physica Polonica Series A 127 (5), pp.1479-1482. (10.12693/APhysPolA.127.1479)
- Fenwick, A. J. et al. 2020. Absolute standardisation and determination of the half-life and gamma emission intensities of 89Zr. Applied Radiation and Isotopes 166 109294. (10.1016/j.apradiso.2020.109294)
- Ferguson, D. et al., 2011. Measurement of long lived radioactive impurities retained in the disposable cassettes on the Tracerlab MX system during the production of [18F]FDG. Applied Radiation and Isotopes 69 (10), pp.1479-1485. (10.1016/j.apradiso.2011.05.028)
- Ferguson, D. et al., 2011. Investigation of staff finger doses during quality control of FDG production. Health Physics 100 (5), pp.523-529. (10.1097/HP.0b013e3181f1e9b5)
- Foley, K. et al. 2019. Cyclo-oxygenase-2 expression is associated with mean standardised uptake value on 18F-fluorodeoxyglucose positron emission tomography in oesophageal adenocarcinoma. British Journal of Radiology 92 (1099) 20180668. (10.1259/bjr.20180668)
- Gendron, T. et al., 2022. Multi‐patient dose synthesis of [18F] Flumazenil via a copper‐mediated 18F‐fluorination. EJNMMI Radiopharmacy and Chemistry 7 5. (10.1186/s41181-022-00158-z)
- Jolles, S. et al. 2017. FDG PET-CT imaging of therapeutic response in granulomatous lymphocytic interstitial lung disease (GLILD) in common variable immunodeficiency (CVID). Clinical & Experimental Immunology 187 (1), pp.138-145. (10.1111/cei.12856)
- Marshall, C. et al. 2015. Implementation of routine production of [18F]-fallypride on the TRASIS all-in-one universal synthesizer. European Journal of Nuclear Medicine and Molecular Imaging 42 (S1), pp.S479. (10.1007/s00259-015-3198-z)
- Marshall, C. et al. 2014. Quantification of the activity of tritium produced during the routine synthesis of 18F fluorodeoxyglucose for positron emission tomography. Journal of Radiological Protection 34 (2), pp.435-444. (10.1088/0952-4746/34/2/435)
- Paisey, S. J. et al. 2025. Imaging of human stem cell-derived dopamine grafts correlates with behavioural recovery and reveals microstructural brain changes. Neurobiology of Disease 209 106910. (10.1016/j.nbd.2025.106910)
- Parkinson, C. et al. 2018. Target volume delineation of PET post one cycle of induction chemotherapy in oropharyngeal cancer. Radiotherapy and Oncology 127 (S1), pp.S634-S635. EP-1126. (10.1016/S0167-8140(18)31436-1)
- Parkinson, C. et al. 2017. Impact of 18F-Choline PET scan acquisition time on delineation of GTV in prostate cancer [Poster Abstract]. Radiotherapy and Oncology 123 (S1), pp.S714-S715. (10.1016/S0167-8140(17)31768-1)
- Parkinson, C. et al. 2019. Machine-learned target volume delineation of 18F-FDG PET images after one cycle of induction chemotherapy. Physica Medica, European Journal of Medical Physics 61 , pp.85-93. (10.1016/j.ejmp.2019.04.020)
- Parkinson, C. et al. 2018. Evaluation of prognostic models developed using standardised image features from different PET automated segmentation methods. EJNMMI Research 8 29. (10.1186/s13550-018-0379-3)
- Smith, R. L. et al. 2024. NEMA NU 2-2018 evaluation and image quality optimization of a new generation digital 32-cm axial field-of-view Omni Legend PET-CT using a genetic evolutionary algorithm. Biomedical Physics & Engineering Express 10 (2) 025032. (10.1088/2057-1976/ad286c)
- Watson, H. A. et al. 2019. L-selectin enhanced T cells improve the efficacy of cancer immunotherapy. Frontiers in Immunology 10 1321. (10.3389/fimmu.2019.01321)
- Whone, A. et al., 2019. Randomized trial of intermittent intraputamenal glial cell line-derived neurotrophic factor in Parkinson's disease. Brain 142 (3), pp.512-525. (10.1093/brain/awz023)
- Whone, A. L. et al., 2019. Extended treatment with glial cell line-derived neurotrophic factor in Parkinson's Disease. Journal of Parkinson's Disease 9 (2), pp.301-313. (10.3233/JPD-191576)
Conferences
- Alsyed, E. et al. 2019. The statistical influence of imaging time and segmentation volume on PET radiomic features: A preclinical study. Presented at: 2019 IEEE NSS-MIC Manchester, UK 26 October - 2 November 2019. Proceedings of the IEEE Nuclear Science Symposium and Medical Imaging Conference. IEEE. , pp.1-4. (10.1109/NSS/MIC42101.2019.9059863)
- Alsyed, E. et al. 2021. A self organizing map for exploratory analysis of PET radiomic features. Presented at: 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Boston, MA, USA 31 October -7 November 2020. 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE. (10.1109/NSS/MIC42677.2020.9507846)
- Parkinson, C. et al. 2018. Dependency of patient risk stratification on PET target volume definition in oesophageal cancer. Presented at: ESTRO Barcelona, Spain 20-24 April 2018.
- Parkinson, C. et al. 2018. ATLAAS - Investigation into the incorporation of morphological data on automated segmentation. Presented at: EANM Congress 2018: European Association of Nuclear Medicine. Dusseldorf, Germany 12-18 October 2018.
- Smith, R. L. et al. 2019. Reinforcement learning for object detection in PET imaging. Presented at: 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Manchester, England 26 October - 02 November 2019. 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE. , pp.1-4. (10.1109/NSS/MIC42101.2019.9060031)
- Smith, R. L. et al. 2021. Deep learning PET epilepsy detection with a novel symmetric loss convolutional autoencoder. Presented at: 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Boston, MA, USA 31 October -7 November 2020. 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE. , pp.1-3. (10.1109/NSS/MIC42677.2020.9507980)
- Smith, R. L. et al. 2018. Deep learning pre-clinical medical image segmentation for automated organ-wise delineation of PET. Presented at: Annual Congress of the European Association of Nuclear Medicine Barcelona, Spain 12-16 October 2019. Vol. 45.
