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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Cite this

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

@article{7db0658b9faa4ea5af44e03a8b1610c9,

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",