Publications by authors named "Gaurav Vivek Bhalerao"
When data is pooled across multiple sites, the extracted features are confounded by site effects. Harmonization methods attempt to correct these site effects while preserving the biological variability within the features. However, little is known about the sample size requirement for effectively learning the harmonization parameters and their relationship with the increasing number of sites.
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- Facial features in MRI images can compromise participant confidentiality, prompting the use of defacing methods to anonymize images by removing identifiable facial features.
- The study evaluated different defacing methods' impact on image quality and volumetric assessments using various MRI analysis tools on a set of T1-weighted images.
- Results showed that defacing affected quality measurements and tissue volumes differently across methods, indicating potential implications for the reproducibility of MRI studies and the need for careful processing of defaced images.
Objective: Spatial normalization of brain MR images is highly dependent on the choice of target brain template. Morphological differences caused by factors like genetic and environmental exposures, generates a necessity to construct population specific brain templates. Brain image analysis performed using brain templates from Caucasian population may not be appropriate for non-Caucasian population.
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