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

Hyungjin Kim; Jin Mo Goo; Yoshiharu Ohno; Hans-Ulrich Kauczor; Eric A. Hoffman; James C. Gee; Edwin J. R. van Beek

doi:10.1097/RTI.0000000000000389

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

Journal article

Open access

Peer reviewed

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

Hyungjin Kim, Jin Mo Goo, Yoshiharu Ohno, Hans-Ulrich Kauczor, Eric A. Hoffman, James C. Gee and Edwin J. R. van Beek

Journal of thoracic imaging, Vol.34(2), pp.92-102

03/01/2019

DOI: 10.1097/RTI.0000000000000389

PMID: 30802233

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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.

Life Sciences & Biomedicine

Radiology, Nuclear Medicine & Medical Imaging

Science & Technology

Details

Title: Subtitle: Effect of Reconstruction Parameters on the Quantitative Analysis of Chest Computed Tomography
Creators: Hyungjin Kim - New Generation University College
Jin Mo Goo - New Generation University College
Yoshiharu Ohno - Kobe University
Hans-Ulrich Kauczor - Heidelberg University
Eric A. Hoffman - University of Iowa
James C. Gee - University of Pennsylvania
Edwin J. R. van Beek - University of Edinburgh
Resource Type: Journal article
Publication Details: Journal of thoracic imaging, Vol.34(2), pp.92-102
DOI: 10.1097/RTI.0000000000000389
PMID: 30802233
NLM abbreviation: J Thorac Imaging
ISSN: 0883-5993
eISSN: 1536-0237
Publisher: Lippincott Williams & Wilkins
Number of pages: 11
Grant note: Canon Medical Systems P30CA086862 / NATIONAL CANCER INSTITUTE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI)
Language: English
Date published: 03/01/2019
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Internal Medicine
Record Identifier: 9984318687102771

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