Technical Note: A method for quality assurance of landmark sets for use in evaluation of deformable image registration accuracy of lung parenchyma

Christopher L Guy; Elisabeth Weiss; Nuzhat Jan; Gary E Christensen; Geoffrey D Hugo

doi:10.1002/mp.13336

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Technical Note: A method for quality assurance of landmark sets for use in evaluation of deformable image registration accuracy of lung parenchyma

Journal article

Open access

Peer reviewed

Technical Note: A method for quality assurance of landmark sets for use in evaluation of deformable image registration accuracy of lung parenchyma

Christopher L Guy, Elisabeth Weiss, Nuzhat Jan, Gary E Christensen and Geoffrey D Hugo

Medical physics (Lancaster), Vol.46(2), pp.766-773

02/2019

DOI: 10.1002/mp.13336

PMCID: PMC6367034

PMID: 30537225

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6367034View

Published (Version of record) Open Access

Abstract

To develop a quality control method to improve the accuracy of corresponding landmark sets used for deformable image registration (DIR) evaluation in the lung parenchyma. An iterative workflow was developed as a method for quality assurance of landmark sets. Starting with the initial landmark set for a given image pair, a landmark-based deformation was applied to one of the images. A difference image and a color overlay were generated using the deformed image and the other image of the pair. Inspection of these generated images at locations of landmarks allowed for the identification of misplaced landmarks. The observer responsible for creating the initial landmark set was tasked with review and revision of points flagged by the quality assurance procedure. Using the updated landmark sets, the process was repeated until all points were acceptable to the reviewer. Eighteen landmark sets, containing a mean (SD) of 170 (31) landmarks, were created using CT images from non-small cell lung cancer patients exhibiting large geometric changes and atelectasis resolution, making landmark specification challenging. Following the quality assurance procedure, the final landmark sets contained a mean (SD) of 165 (25) landmarks, as points too difficult to match were removed and points were added to regions deficient in landmarks. For landmark sets in which changes were made, maximum and mean differences in landmark positions before and after quality assurance ranged between 8.7-81.5 mm and 0.3-9.6 mm, respectively. An effective method for improving the accuracy of landmark correspondence was presented. This quality assurance approach enables more accurate evaluation of DIR for lung parenchyma in clinical image pairs in the absence of a ground truth deformation and may be applicable to other feature-rich anatomical sites.

Carcinoma, Non-Small-Cell Lung - diagnostic imaging

Carcinoma, Non-Small-Cell Lung - pathology

Feasibility Studies

Humans

Image Processing, Computer-Assisted - methods

Lung - diagnostic imaging

Lung - pathology

Lung Neoplasms - diagnostic imaging

Lung Neoplasms - pathology

Quality Control

Tomography, X-Ray Computed

Details

Title: Subtitle: Technical Note: A method for quality assurance of landmark sets for use in evaluation of deformable image registration accuracy of lung parenchyma
Creators: Christopher L Guy - Virginia Commonwealth University
Elisabeth Weiss - Virginia Commonwealth University
Nuzhat Jan - Virginia Commonwealth University
Gary E Christensen - University of Iowa
Geoffrey D Hugo - Washington University in St. Louis
Resource Type: Journal article
Publication Details: Medical physics (Lancaster), Vol.46(2), pp.766-773
DOI: 10.1002/mp.13336
PMID: 30537225
PMCID: PMC6367034
NLM abbreviation: Med Phys
ISSN: 0094-2405
eISSN: 2473-4209
Grant note: R01 CA166119 / NCI NIH HHS P30 CA086862 / NCI NIH HHS R01CA166119 / National Cancer Institute of the National Institutes of Health
Language: English
Date published: 02/2019
Academic Unit: Electrical and Computer Engineering; Radiation Oncology; Radiation Research Laboratory; The Iowa Institute for Biomedical Imaging; Advanced Pulmonary Physiomic Imaging Laboratory; Holden Comprehensive Cancer Center
Record Identifier: 9984197266402771

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