Optimizing positron emission tomography for accurate plant imaging using Monte Carlo simulations to correct positron range effects
- PMID: 40263448
- PMCID: PMC12015257
- DOI: 10.1038/s41598-025-95670-y
Optimizing positron emission tomography for accurate plant imaging using Monte Carlo simulations to correct positron range effects
Erratum in
-
Correction: Optimizing positron emission tomography for accurate plant imaging using Monte Carlo simulations to correct positron range effects.Sci Rep. 2025 Jul 7;15(1):24250. doi: 10.1038/s41598-025-07148-6. Sci Rep. 2025. PMID: 40624175 Free PMC article. No abstract available.
Abstract
Positron Emission Tomography (PET) is a valuable tool for plant imaging, but its accuracy can be compromised by positron range effects. This study improves PET accuracy using the GATE Monte Carlo simulation tool to estimate and correct these effects. The GATE model was validated for the Siemens Biograph Vision system using the NEMA NU 2-2018 protocol, showing alignment with experimental data. Deviations were within 9% for sensitivity and 3% for peak Noise Equivalent Count Rate (NECR). Different isotopes (18F, 11C, 15O, and 30P) and plant phantom properties were analyzed for their impact on reconstructed images. A sixfold enhancement was observed for 15O and a threefold improvement for 11C when a magnetic field was applied to the plant phantom. Our findings suggest that integrating PET with magnetic resonance imaging can help address Positron range effects in plant imaging. This study provides valuable insights into PET imaging and offers refined methodologies for clinical and plant-centric research. Our research validates the use of GATE Monte Carlo simulation for Biograph Vision and advances our understanding of Positron range phenomena and potential mitigation strategies for precise PET Plant imaging.
Keywords: GATE Monte Carlo simulation; Integrated PET and Magnetic Resonance Imaging (MRI); NEMA protocol; PET; Plant Imaging; Positron range.
© 2025. The Author(s).
Conflict of interest statement
Declarations. Competing interests: The authors declare no competing interests.
Figures










Similar articles
-
FAST (fast analytical simulator of tracer)-PET: an accurate and efficient PET analytical simulation tool.Phys Med Biol. 2024 Aug 6;69(16):165020. doi: 10.1088/1361-6560/ad6743. Phys Med Biol. 2024. PMID: 39047765 Free PMC article.
-
The value of FDG positron emission tomography/computerised tomography (PET/CT) in pre-operative staging of colorectal cancer: a systematic review and economic evaluation.Health Technol Assess. 2011 Sep;15(35):1-192, iii-iv. doi: 10.3310/hta15350. Health Technol Assess. 2011. PMID: 21958472 Free PMC article.
-
Development of a Monte Carlo-based scatter correction method for total-body PET using the uEXPLORER PET/CT scanner.Phys Med Biol. 2024 Feb 16;69(4). doi: 10.1088/1361-6560/ad2230. Phys Med Biol. 2024. PMID: 38266297
-
Cloud-based serverless computing enables accelerated monte carlo simulations for nuclear medicine imaging.Biomed Phys Eng Express. 2024 Jun 25;10(4):10.1088/2057-1976/ad5847. doi: 10.1088/2057-1976/ad5847. Biomed Phys Eng Express. 2024. PMID: 38876087 Free PMC article.
-
Positron emission tomography (PET) and magnetic resonance imaging (MRI) for the assessment of axillary lymph node metastases in early breast cancer: systematic review and economic evaluation.Health Technol Assess. 2011 Jan;15(4):iii-iv, 1-134. doi: 10.3310/hta15040. Health Technol Assess. 2011. PMID: 21276372 Free PMC article.
References
-
- Hubeau, M., & Steppe, K. Plant-pet scans: in vivo mapping of xylem and phloem functioning. Trends Plant Sci.20(10), 676–685 (2015). - PubMed
MeSH terms
LinkOut - more resources
Full Text Sources
Research Materials