A streamlined workflow for comprehensive 4DCT imaging QA with automated analysis of spatial integrity and image quality Journal Article


Authors: Yang, Y.; Lee, D.; Whitaker, M.; Harris, W.; Jeong, J.; Lin, S. C.; Yorke, E.; Santanam, L.; Tang, G.
Article Title: A streamlined workflow for comprehensive 4DCT imaging QA with automated analysis of spatial integrity and image quality
Abstract: Purpose: A comprehensive 4DCT QA program that includes the assessment of spatial integrity and image quality of 4D phantom scans can be resource-intensive, especially because the analysis burden scales with the number of motion traces used for QA. This work presents a streamlined and scalable workflow, enabled by the use of a widely available phantom and an automated analysis tool. Methods: For 4DCT imaging QA, the Catphan was placed on the QUASAR motion platform, driven with sinusoidal motion traces of various amplitudes and frequencies. The acquired image sets were automatically analyzed using a newly designed 4DCT analysis module in TotalQA. The metrics of interest for 4DCT QA were analyzed for image sets of all motion bins and compared to the stationary reference image set. Three broad categories of imaging tests for 4DCT QA were defined: spatial integrity, HU constancy, and image quality. The sensitometry plugs in the Catphan were used as motion surrogates for evaluating spatial integrity, including the dimensions of the plugs and the observed motion amplitude in the scans. HU values of the sensitometry plugs in different phases were evaluated for consistency. For image quality, spatial resolution, low contrast resolution, and image noise were evaluated. Results: Compared to the stationary reference CT, spatial integrity was within ±1 mm and the HU values were within two HU in the 4DCT for all phases. The spatial resolution was consistent while slightly higher noise was observed in the 4DCT images. The automated analysis in TotalQA was completed in approximately 20 min per motion trace, improving efficiency by more than 80% compared to the manual workflow. Conclusions: A streamlined 4DCT imaging QA workflow with automated analysis offers a robust assessment of imaging quality and motion accuracy in 4DCT scans, enabling an efficient and consistent QA process in large healthcare networks. © 2025 Elsevier B.V., All rights reserved.
Keywords: intensity modulated radiation therapy; radiotherapy dosage; algorithms; automation; health care quality; algorithm; radiotherapy, intensity-modulated; quality assurance; quality assurance, health care; radiotherapy planning, computer-assisted; phantoms, imaging; image processing, computer-assisted; image processing; procedures; workflow; imaging phantom; four dimensional computed tomography; four-dimensional computed tomography; humans; human; radiotherapy planning system; 4-dimensional computed tomography
Journal Title: Journal of Applied Clinical Medical Physics
Volume: 26
Issue: 8
ISSN: 1526-9914
Publisher: American College of Medical Physics  
Date Published: 2025-08-01
Start Page: e70168
Language: English
DOI: 10.1002/acm2.70168
PUBMED: 40717207
PROVIDER: scopus
PMCID: PMC12301078
DOI/URL:
Notes: The MSK Cancer Center Support Grant (P30 CA008748) is acknowledge in the PDF -- Corresponding authors is MSK author: Grace Tang -- Source: Scopus
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MSK Authors
  1. Ellen D Yorke
    452 Yorke
  2. Jeho Jeong
    38 Jeong
  3. Grace   Tang
    31 Tang
  4. Donghoon Lee
    13 Lee
  5. Wendy Harris
    12 Harris
  6. Yunjie Yang
    11 Yang
  7. Shih-Chi Lin
    7 Lin