PURPOSE: The current investigation was undertaken to evaluate a new method for creating MR multispectral color images, which we call "Superimages." They were developed to improve the delineation of small brain structures composed of mixed tissue types, such as the basal ganglia. METHOD: To qualitatively validate the method, visual comparisons were made of six unimodal and multispectral images, including the Superimage. Quantitative validation was undertaken by comparing the reliability values for parcellation of the globus pallidus (GP) using either a gray scale (T1-weighted) image or the Superimage. RESULTS: Qualitative assessment of the Superimage revealed enhanced visualization of the GP, caudate, and putamen. Quantitative assessment resulted in good reliability for Superimage traces. CONCLUSION: The Superimage significantly improves both the visualization and the parcellation of structures visualized by MRI.
PURPOSE: The current investigation was undertaken to evaluate a new method for creating MR multispectral color images, which we call "Superimages." They were developed to improve the delineation of small brain structures composed of mixed tissue types, such as the basal ganglia. METHOD: To qualitatively validate the method, visual comparisons were made of six unimodal and multispectral images, including the Superimage. Quantitative validation was undertaken by comparing the reliability values for parcellation of the globus pallidus (GP) using either a gray scale (T1-weighted) image or the Superimage. RESULTS: Qualitative assessment of the Superimage revealed enhanced visualization of the GP, caudate, and putamen. Quantitative assessment resulted in good reliability for Superimage traces. CONCLUSION: The Superimage significantly improves both the visualization and the parcellation of structures visualized by MRI.
Authors: Mahdi Alizadeh; Pallav Shah; Chris J Conklin; Devon M Middleton; Sona Saksena; Adam E Flanders; Laura Krisa; M J Mulcahey; Scott H Faro; Feroze B Mohamed Journal: J Digit Imaging Date: 2018-08 Impact factor: 4.056