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Muhammad U. Ghani

Researcher at University of Oklahoma

Publications -  69
Citations -  337

Muhammad U. Ghani is an academic researcher from University of Oklahoma. The author has contributed to research in topics: Imaging phantom & Chemistry. The author has an hindex of 7, co-authored 31 publications receiving 159 citations.

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Dose and detectability improvements with high energy phase sensitive x-ray imaging in comparison to low energy conventional imaging

TL;DR: The SNR improvement provided by phase contrast imaging is not yet enough to offset the noise reduction provided by the clinical system at the doubled dose level, so the potential for high energy phase sensitive x-ray imaging to improve lesion detection and reduce radiation dose in mammography warrants further investigation of this technique.
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Investigation of spatial resolution characteristics of an in vivo microcomputed tomography system

TL;DR: The spatial resolution characteristics of an in vivo micro computed tomography (CT) system was investigated in the in-plane (x-y), cross plane (z) and projection imaging modes and the cross plane MTF curves showed that the spatial resolution increased as the slice thickness decreased.
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Detectability comparison between a high energy x-ray phase sensitive and mammography systems in imaging phantoms with varying glandular-adipose ratios.

TL;DR: The observer study, contrast-to-noise ratio and figure of merit comparisons indicated a large improvement with the phase retrieved images in comparison to the AEC mode images acquired with the clinical systems for both density levels.
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Degree-Based Entropy for a Non-Kekulean Benzenoid Graph

TL;DR: In this article , the crystal structure of non-Kekulean benzenoid graph was studied and the degree-based topological indices were used to calculate the entropies.
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Computation of Zagreb Polynomials and Zagreb Indices for Benzenoid Triangular & Hourglass System

TL;DR: In this paper , the authors studied the Zagreb polynomials for the benzenoid triangle system and the hourglass system and computed the degree-based Zagreve indices.