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Amir Pourmorteza

Researcher at Emory University

Publications -  48
Citations -  2107

Amir Pourmorteza is an academic researcher from Emory University. The author has contributed to research in topics: Photon counting & Imaging phantom. The author has an hindex of 19, co-authored 43 publications receiving 1179 citations. Previous affiliations of Amir Pourmorteza include Johns Hopkins University & Johns Hopkins University School of Medicine.

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Journal ArticleDOI

Photon-counting CT: Technical Principles and Clinical Prospects.

TL;DR: The authors will explain the technical principles of photon-counting CT in nonmathematical terms for radiologists and clinicians to create opportunities for quantitative imaging relative to current CT technology.
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Abdominal Imaging with Contrast-enhanced Photon-counting CT: First Human Experience

TL;DR: The performance of PCD showed no statistically significant difference compared with EID when the abdomen was evaluated in a conventional scan mode, and PCD provides spectral information, which may be used for material decomposition.
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Photon-counting CT for simultaneous imaging of multiple contrast agents in the abdomen: An in vivo study

TL;DR: Photon‐counting spectral CT allowed simultaneous material decomposition of multiple contrast agents in vivo and tissue enhancement at multiple phases was observed in a single CT acquisition, potentially obviating the need for multiphase CT scans and thus reducing radiation dose.
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Feasibility of Dose-reduced Chest CT with Photon-counting Detectors: Initial Results in Humans.

TL;DR: Initial human experience with dose-reduced PCD chest CT demonstrated lower image noise compared with conventional EID CT, with better diagnostic quality and lung nodule CNR.
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Photon-Counting Computed Tomography for Vascular Imaging of the Head and Neck: First In Vivo Human Results

TL;DR: Image quality of a spectral photon-counting detector (PCD) computed tomography (CT) system for evaluation of major arteries of the head and neck compared with conventional single-energy CT scans using energy-integrating detectors was evaluated.