A Comparative Evaluation of CT Global Noise Calculation Methods for Clinical Image Quality Assessment

Fuente: arXiv
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Hauptverfasser: Weaver, Charles M, Ge, Gary, Alsalihi, Alexander, Zhang, Jie
Format: Preprint
Veröffentlicht: 2025
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author Weaver, Charles M
Ge, Gary
Alsalihi, Alexander
Zhang, Jie
author_facet Weaver, Charles M
Ge, Gary
Alsalihi, Alexander
Zhang, Jie
contents The CMS quality measure for CT mandates compliance with dose and image quality across 18 exam categories, yet the method for calculating global noise (GN) remains undefined, referencing only the Duke and Wisconsin methods. This ambiguity raises concerns about standardization and clinical applicability. We retrospectively analyzed 719 CT exams across seven protocols, comparing five GN metrics derived from the Duke and Wisconsin approaches. Results showed significant variability across metrics and protocols, with Wisconsin_tissue_mean consistently yielding the highest values. Correlation strength varied by protocol, and mode-based metrics demonstrated higher agreement, suggesting dose dependence. In the Chest PE protocol, GN values differed significantly based on reconstruction kernel. These findings underscore the need for a standardized, clinically meaningful GN metric to ensure consistent image quality evaluation and effective implementation of the CMS measure.
format Preprint
id arxiv_https___arxiv_org_abs_2504_11578
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Comparative Evaluation of CT Global Noise Calculation Methods for Clinical Image Quality Assessment
Weaver, Charles M
Ge, Gary
Alsalihi, Alexander
Zhang, Jie
Medical Physics
The CMS quality measure for CT mandates compliance with dose and image quality across 18 exam categories, yet the method for calculating global noise (GN) remains undefined, referencing only the Duke and Wisconsin methods. This ambiguity raises concerns about standardization and clinical applicability. We retrospectively analyzed 719 CT exams across seven protocols, comparing five GN metrics derived from the Duke and Wisconsin approaches. Results showed significant variability across metrics and protocols, with Wisconsin_tissue_mean consistently yielding the highest values. Correlation strength varied by protocol, and mode-based metrics demonstrated higher agreement, suggesting dose dependence. In the Chest PE protocol, GN values differed significantly based on reconstruction kernel. These findings underscore the need for a standardized, clinically meaningful GN metric to ensure consistent image quality evaluation and effective implementation of the CMS measure.
title A Comparative Evaluation of CT Global Noise Calculation Methods for Clinical Image Quality Assessment
topic Medical Physics
url https://arxiv.org/abs/2504.11578