Effect of Reconstruction Parameters on the Quantitative Analysis of Chest Computed Tomography.

Journal of Thoracic Imaging
Hyungjin KimEdwin J R van Beek

Abstract

Quantitative features obtained from computed tomography (CT) scans are being explored for clinical applications. Various classes of quantitative features exist for chest CT including radiomics features, emphysema measurements, lung nodule volumetric measurements, dual energy quantification, and perfusion parameters. A number of research articles have shown promise in diagnosis and prognosis prediction of oncologic patients or those with diffuse lung diseases using these feature classes. Nevertheless, a prerequisite for the quantification is the evaluation of variation in measurements in terms of repeatability and reproducibility, which are distinct aspects of precision but are often not separable from each other. There are well-known sources of measurement variability including patient factors, CT acquisition (scan and reconstruction) factors, and radiologist (or measurement-related) factors. The purpose of this article is to review the effects of CT reconstruction parameters on the quantitative imaging features and efforts to correct or neutralize variations induced by those parameters.

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Citations

Nov 30, 2019·Radiographics : a Review Publication of the Radiological Society of North America, Inc·Alicia ChenChi Wan Koo
Apr 24, 2020·Korean Journal of Radiology : Official Journal of the Korean Radiological Society·Eui Jin Hwang, Chang Min Park
Sep 30, 2021·Nature Communications·Matthias PerkoniggGeorg Langs

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Methods Mentioned

BETA
feature extraction

Software Mentioned

AVIEW
iDose
SAFIRE

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