| ORIGINAL ARTICLE |
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| Year : 2022 | Volume
: 9
| Issue : 1 | Page : 17-21 |
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Quantitative structured reporting in dementia studies with magnetic resonance imaging: Application to neuroinformatics
Mojtaba Barzegar1, Joan Carreras2
1 Intelligent quantitative biomedical imaging (iqbmi); Medical School (Medical Physics and Medical Engineering Department), Tehran University of Medical Sciences, Tehran; Department of Neuroscience, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran; Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, Spain
2 Radiology and Biomedical Imaging Research Group (GIBI230), La Fe University and Polytechnic Hospital and Spain La Fe Health Research Institute, Valencia, Spain
Correspondence Address:
Mojtaba Barzegar
Department of Neuroscience, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, 71348-14336, Iran University/Organization: Intelligent quantitative biomedical imaging (iqbmi), Tehran, 1955748171
 Source of Support: None, Conflict of Interest: None
DOI: 10.4103/jnbs.jnbs_6_22
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Introduction: Nowadays, radiology is playing a very essential role in quantitative imaging from medical images to quantitative biomarkers. Integration of this numerical information into structured reports can make it more practical tool for an accurate diagnosis of dementia. Materials and Methods: This research developed a structured radiological report template for dementia as an automated integration of quantitative imaging biomarkers of magnetic resonance images into neurological structured reporting as a new achievement in the Management of Radiology Report Templates in a more organized style. Results: A significant accuracy rather than free conventional style for dementia patients. Conclusion: Final aim of this study is making this feature available to make the best decision on patients with some dementia signs.
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