Does Deep Learning Reconstruction Improve Ureteral Stone Detection and Subjective Image Quality in the CT Images of Patients with Metal Hardware?

Ruben Crew; Jason Smith; Mohammad Kassir; Ala’a Farkouh; Kai Wen Cheng; Bertha Escobar-Poni; Jun Ho Chung; Uy Lae Kim; Jammie Lyn Quines; Grant Sajdak; Katya Hanessian; Sikai Song; Akin S. Amasyali; Zhamshid Okhunov; Udochukwo Oyoyo; D. Daniel Baldwin; Kerby Oberg; D. Duane Baldwin

doi:10.1089/end.2024.0666

Does Deep Learning Reconstruction Improve Ureteral Stone Detection and Subjective Image Quality in the CT Images of Patients with Metal Hardware?

Ruben Crew, Jason Smith, Mohammad Kassir, Ala’a Farkouh, Kai Wen Cheng, Bertha Escobar-Poni, Jun Ho Chung, Uy Lae Kim, Jammie Lyn Quines, Grant Sajdak, Katya Hanessian, Sikai Song, Akin S. Amasyali, Zhamshid Okhunov, Udochukwo Oyoyo, D. Daniel Baldwin, Kerby Oberg, D. Duane Baldwin

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	306-313
Number of pages	8
Journal	Journal of Endourology
Volume	39
Issue number	3
DOIs	https://doi.org/10.1089/end.2024.0666
State	Published - Mar 1 2025

ASJC Scopus Subject Areas

Urology

Keywords

X-ray computed tomography
artificial intelligence
computer-assisted
deep learning
radiation dosage
radiographic image interpretation
urolithiasis

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10.1089/end.2024.0666

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Crew, R., Smith, J., Kassir, M., Farkouh, A., Cheng, K. W., Escobar-Poni, B., Chung, J. H., Kim, U. L., Quines, J. L., Sajdak, G., Hanessian, K., Song, S., Amasyali, A. S., Okhunov, Z., Oyoyo, U., Baldwin, D. D., Oberg, K., & Baldwin, D. D. (2025). Does Deep Learning Reconstruction Improve Ureteral Stone Detection and Subjective Image Quality in the CT Images of Patients with Metal Hardware? Journal of Endourology, 39(3), 306-313. https://doi.org/10.1089/end.2024.0666

Crew, R, Smith, J, Kassir, M, Farkouh, A, Cheng, KW, Escobar-Poni, B, Chung, JH, Kim, UL, Quines, JL, Sajdak, G, Hanessian, K, Song, S, Amasyali, AS, Okhunov, Z, Oyoyo, U, Baldwin, DD, Oberg, K & Baldwin, DD 2025, 'Does Deep Learning Reconstruction Improve Ureteral Stone Detection and Subjective Image Quality in the CT Images of Patients with Metal Hardware?', Journal of Endourology, vol. 39, no. 3, pp. 306-313. https://doi.org/10.1089/end.2024.0666

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title = "Does Deep Learning Reconstruction Improve Ureteral Stone Detection and Subjective Image Quality in the CT Images of Patients with Metal Hardware?",

keywords = "X-ray computed tomography, artificial intelligence, computer-assisted, deep learning, radiation dosage, radiographic image interpretation, urolithiasis",

author = "Ruben Crew and Jason Smith and Mohammad Kassir and Ala{\textquoteright}a Farkouh and Cheng, {Kai Wen} and Bertha Escobar-Poni and Chung, {Jun Ho} and Kim, {Uy Lae} and Quines, {Jammie Lyn} and Grant Sajdak and Katya Hanessian and Sikai Song and Amasyali, {Akin S.} and Zhamshid Okhunov and Udochukwo Oyoyo and Baldwin, {D. Daniel} and Kerby Oberg and Baldwin, {D. Duane}",

year = "2025",

month = mar,

day = "1",

doi = "10.1089/end.2024.0666",

language = "English",

volume = "39",

pages = "306--313",

journal = "Journal of Endourology",