Projects per year
Abstract / Description of output
Obtaining accurate quantitative measurements in preclinical Positron Emission Tomography/Computed Tomography (PET/CT) imaging is of paramount importance in biomedical research and helps supporting efficient translation of preclinical results to the clinic. The purpose of this study was two-fold: (1) to investigate the effects of different CT acquisition protocols on PET/CT image quality and data quantification; and (2) to evaluate the absorbed dose associated with varying CT parameters.
Methods: An air/water quality control CT phantom, tissue equivalent material phantom, an in-house 3D printed phantom and an image quality PET/CT phantom were imaged using a Mediso nanoPET/CT scanner. Collected data was analyzed using PMOD software, VivoQuant software and National Electric Manufactures Association (NEMA) software implemented by Mediso. Measured Hounsfield Unit (HU) in collected CT images were compared to the known HU values and image noise was quantified. PET recovery coefficients (RC), uniformity and quantitative bias were also measured.
Results: Only less than 2 and 1% of CT acquisition protocols yielded water HU values < −80 and air HU values < −840, respectively. Four out of 11 CT protocols resulted in more than 100 mGy absorbed dose. Different CT protocols did not impact PET uniformity and RC, and resulted in <4% overall bias relative to expected radioactive concentration.
Conclusion: Preclinical CT protocols with increased exposure times can result in high absorbed doses to the small animals. These should be avoided, as they do not contributed toward improved microPET/CT image quantitative accuracy and could limit longitudinal scanning of small animals.
Original language | English |
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Journal | Frontiers in Physics |
Volume | 5 |
DOIs | |
Publication status | Published - 13 Oct 2017 |
Fingerprint
Dive into the research topics of 'High Dose MicroCT Does Not Contribute Toward Improved MicroPET/CT Image Quantitative Accuracy and Can Limit Longitudinal Scanning of Small Animals'. Together they form a unique fingerprint.Projects
- 3 Finished
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BHF Research Excellence Award (2) (renewal) Grant 1
Mullins, J., Bailey, M., Beqqali, A., Caporali, A., Crisan, M., Mansley, M., Meloni, M., Reynolds, R. & Wu, J.
1/04/14 → 30/06/19
Project: Research
Datasets
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CT Image datasets for highdose 16A0XXX and 16A1XXX
Mcdougald, W. (Creator), Edinburgh DataShare, 16 Dec 2019
DOI: 10.7488/ds/2726, https://doi.org/10.3389/fphy.2017.00050
Dataset
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CT Image datasets for highdose 16A2XXX and 16A3XXX
Mcdougald, W. (Creator), Edinburgh DataShare, 16 Dec 2019
DOI: 10.7488/ds/2727, https://doi.org/10.3389/fphy.2017.00050
Dataset
Profiles
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Adriana Tavares
- Deanery of Clinical Sciences - Personal Chair of Translational Molecular Imaging
- Centre for Cardiovascular Science
- Edinburgh Imaging
Person: Academic: Research Active