Detection of Pathological Contrast Enhancement Through Synthetic Imaging Based on Quantitative Multiparametric MRI

Authors

  • Mohammed Abdulaziz Saad Alqhtani Radiographer, Prince Sultan Military Medical City, Riyadh
  • Moayad Alwi Ali Abdalwahed Radiographer, Prince Sultan Military Medical City, Riyadh
  • Ali Idris Yahya Abiri Radiology Technician, Prince Sultan Military Medical City, Riyadh
  • Naif Basri Mohammed Albasri Radiology Technician, Prince Sultan Military Medical City, Riyadh
  • Abdulaziz Mohammed Huwayshel Radiology Technician, Prince Sultan Military Medical City, Riyadh

DOI:

https://doi.org/10.29070/rrz0dt61

Keywords:

Synthetic brain imaging, Quantitative multiparametric MRI, Pathological contrast enhancement, Non-contrast imaging techniques, Gadolinium-free MRI, Neurological imaging, Glioblastoma detection, Multiple sclerosis imaging, Brain metastases diagnosis, Machine learning in MRI, Diagnostic accuracy, Signal intensity correlation, Advanced neuroimaging techniques, Personalized medicine, Artificial intelligence in radiology

Abstract

Synthetic brain imaging has emerged as a transformative approach for diagnosing and evaluating neurological pathologies. By utilizing quantitative multiparametric MRI, synthetic imaging generates contrast-enhanced images without the need for gadolinium-based contrast agents. This study aims to validate the accuracy, reliability, and diagnostic efficacy of synthetic imaging in detecting pathological contrast enhancement (PCE) in neurological disorders such as glioblastoma, multiple sclerosis, and brain metastases. Results demonstrate a high correlation between synthetic and conventional contrast-enhanced MRI, offering a safer and cost-effective diagnostic alternative.

References

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Gao, W., et al. (2022). “Quantitative Imaging Biomarkers in Neurological Diseases.” Neuroscience Imaging, 34(2), 245-258.

Roberts, E., et al. (2023). “Synthetic Imaging in Multiple Sclerosis: A Review.” Journal of Neuroimaging, 19(5), 367-374.

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Published

2025-01-01

How to Cite

[1]
“Detection of Pathological Contrast Enhancement Through Synthetic Imaging Based on Quantitative Multiparametric MRI”, JASRAE, vol. 22, no. 01, pp. 1–4, Jan. 2025, doi: 10.29070/rrz0dt61.

How to Cite

[1]
“Detection of Pathological Contrast Enhancement Through Synthetic Imaging Based on Quantitative Multiparametric MRI”, JASRAE, vol. 22, no. 01, pp. 1–4, Jan. 2025, doi: 10.29070/rrz0dt61.