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22.01.2024 | Original Article

Age-stratified Assessment of Brain Volumetric Segmentation on the Indian Population Using Quantitative Magnetic Resonance Imaging

verfasst von: Nisha Syed Nasser, Vasantha K. Venugopal, Cynthia Veenstra, Peter Johansson, Sriram Rajan, Kabir Mahajan, Swati Naik, Ravi Masand, Pratiksha Yadav, Sachin Khanduri, Suman Singhal, Rajat Bhargava, Utkarsh Kabra, Sanjay Gupta, Kavita Saggar, Balaji Varaprasad, Kushagra Aggrawal, Adinarayana Rao, Manoj K.S., Atul Dakhole, Abhimanyu Kelkar, Geena Benjamin, Varsha Sodani, Pradeep Goyal, Harsh Mahajan

Erschienen in: Clinical Neuroradiology

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Abstract

Background and Purpose

Automated methods for quantifying brain tissue volumes have gained clinical interest for their objective assessment of neurological diseases. This study aimed to establish reference curves for brain volumes and fractions in the Indian population using Synthetic MRI (SyMRI), a quantitative imaging technique providing multiple contrast-weighted images through fast postprocessing.

Methods

The study included a cohort of 314 healthy individuals aged 15–65 years from multiple hospitals/centers across India. The SyMRI-quantified brain volumes and fractions, including brain parenchymal fraction (BPF), gray matter fraction (GMF), white matter fraction (WMF), and myelin.

Results

Normative age-stratified quantification curves were created based on the obtained data. The results showed significant differences in brain volumes between the sexes, but not after normalization by intracranial volume.

Conclusion

The findings provide normative data for the Indian population and can be used for comparative analysis of brain structure values. Furthermore, our data indicate that the use of fractions rather than absolute volumes in normative curves, such as BPF, GMF, and WMF, can mitigate sex and population differences as they account for individual differences in head size or brain volume.

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Titel: Age-stratified Assessment of Brain Volumetric Segmentation on the Indian Population Using Quantitative Magnetic Resonance Imaging
verfasst von: Nisha Syed Nasser
Vasantha K. Venugopal
Cynthia Veenstra
Peter Johansson
Sriram Rajan
Kabir Mahajan
Swati Naik
Ravi Masand
Pratiksha Yadav
Sachin Khanduri
Suman Singhal
Rajat Bhargava
Utkarsh Kabra
Sanjay Gupta
Kavita Saggar
Balaji Varaprasad
Kushagra Aggrawal
Adinarayana Rao
Manoj K.S.
Atul Dakhole
Abhimanyu Kelkar
Geena Benjamin
Varsha Sodani
Pradeep Goyal
Harsh Mahajan
Publikationsdatum: 22.01.2024
Verlag: Springer Berlin Heidelberg
Erschienen in: Clinical Neuroradiology
Print ISSN: 1869-1439
Elektronische ISSN: 1869-1447
DOI: https://doi.org/10.1007/s00062-023-01374-z

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Age-stratified Assessment of Brain Volumetric Segmentation on the Indian Population Using Quantitative Magnetic Resonance Imaging

Abstract

Background and Purpose

Methods

Results

Conclusion

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Springer Medizin

Abstract

Background and Purpose

Methods

Results

Conclusion

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Neu im Fachgebiet Radiologie

Akuter Schwindel: Wann lohnt sich eine MRT?

Screening-Mammografie offenbart erhöhtes Herz-Kreislauf-Risiko

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