Development of quantitative computed tomography lung protocols

John D Newell Jr; Jered Sieren; Eric A Hoffman

doi:10.1097/RTI.0b013e31829f6796

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Development of quantitative computed tomography lung protocols

Journal article

Open access

Peer reviewed

Development of quantitative computed tomography lung protocols

John D Newell Jr, Jered Sieren and Eric A Hoffman

Journal of thoracic imaging, Vol.28(5), pp.266-271

09/2013

DOI: 10.1097/RTI.0b013e31829f6796

PMCID: PMC3876949

PMID: 23934142

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http://doi.org/10.1097/RTI.0b013e31829f6796View

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Abstract

The purpose of this review article is to review the process of developing optimal computed tomography (CT) protocols for quantitative lung CT (QCT). In this review, we discuss the following important topics: QCT-derived metrics of lung disease; QCT scanning protocols; quality control; and QCT image processing software. We will briefly discuss several QCT-derived metrics of lung disease that have been developed for the assessment of emphysema, small airway disease, and large airway disease. The CT scanning protocol is one of the most important elements in a successful QCT. We will provide a detailed description of the current move toward optimizing the QCT protocol for the assessment of chronic obstructive pulmonary disorder and asthma. Quality control of CT images is also a very important part of the QCT process. We will discuss why it is necessary to use CT scanner test objects (phantoms) to provide frequent periodic checks on the CT scanner calibration to ensure precise and accurate CT numbers. We will discuss the use of QCT image processing software to segment the lung and extract the desired QCT metrics of lung disease. We will discuss the practical issues of using this software. The data obtained from the image processing software are then combined with those from other clinical examinations, health status questionnaires, pulmonary physiology, and genomics to increase our understanding of obstructive lung disease and improve our ability to design new therapies for these diseases.

Genomics

Software

Humans

Clinical Protocols

Tomography, X-Ray Computed - methods

Asthma - diagnostic imaging

Pulmonary Disease, Chronic Obstructive - pathology

Lung Diseases - diagnostic imaging

Pulmonary Disease, Chronic Obstructive - diagnostic imaging

Surveys and Questionnaires

Lung Diseases - pathology

Respiratory Function Tests

Phantoms, Imaging

Asthma - pathology

Radiographic Image Interpretation, Computer-Assisted

Quality Control

Details

Title: Subtitle: Development of quantitative computed tomography lung protocols
Creators: John D Newell Jr - Advanced Pulmonary Physiomics Imaging Laboratory, Department of Radiology, University of Iowa, Iowa City, IA 52242, USA. john-newell@uiowa.edu
Jered Sieren
Eric A Hoffman
Resource Type: Journal article
Publication Details: Journal of thoracic imaging, Vol.28(5), pp.266-271
DOI: 10.1097/RTI.0b013e31829f6796
PMID: 23934142
PMCID: PMC3876949
NLM abbreviation: J Thorac Imaging
ISSN: 0883-5993
eISSN: 1536-0237
Publisher: United States
Grant note: R01 HL112986 / NHLBI NIH HHS P30 ES005605 / NIEHS NIH HHS
Language: English
Date published: 09/2013
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Internal Medicine
Record Identifier: 9984051748202771

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