134 related articles for article (PubMed ID: 38597871)
1. Conversion of single-energy CT to parametric maps of dual-energy CT using convolutional neural network.
Kim S; Lee J; Kim J; Kim B; Choi CH; Jung S
Br J Radiol; 2024 May; 97(1158):1180-1190. PubMed ID: 38597871
[TBL] [Abstract][Full Text] [Related]
2. Pseudo low-energy monochromatic imaging of head and neck cancers: Deep learning image reconstruction with dual-energy CT.
Koike Y; Ohira S; Teraoka Y; Matsumi A; Imai Y; Akino Y; Miyazaki M; Nakamura S; Konishi K; Tanigawa N; Ogawa K
Int J Comput Assist Radiol Surg; 2022 Jul; 17(7):1271-1279. PubMed ID: 35415780
[TBL] [Abstract][Full Text] [Related]
3. An adult and pediatric size-based contrast administration reduction phantom study for single and dual-energy CT through preservation of contrast-to-noise ratio.
Wang J; Duan X; Mahmood U; McKenney SE; Brady SL
J Appl Clin Med Phys; 2024 May; 25(5):e14340. PubMed ID: 38605540
[TBL] [Abstract][Full Text] [Related]
4. Deep learning reconstruction CT for liver metastases: low-dose dual-energy vs standard-dose single-energy.
Lyu P; Li Z; Chen Y; Wang H; Liu N; Liu J; Zhan P; Liu X; Shang B; Wang L; Gao J
Eur Radiol; 2024 Jan; 34(1):28-38. PubMed ID: 37532899
[TBL] [Abstract][Full Text] [Related]
5. Improvement of image quality for pancreatic cancer using deep learning-generated virtual monochromatic images: Comparison with single-energy computed tomography.
Ohira S; Koike Y; Akino Y; Kanayama N; Wada K; Ueda Y; Masaoka A; Washio H; Miyazaki M; Koizumi M; Ogawa K; Teshima T
Phys Med; 2021 May; 85():8-14. PubMed ID: 33940528
[TBL] [Abstract][Full Text] [Related]
6. Noise reduction approach in pediatric abdominal CT combining deep learning and dual-energy technique.
Lee S; Choi YH; Cho YJ; Lee SB; Cheon JE; Kim WS; Ahn CK; Kim JH
Eur Radiol; 2021 Apr; 31(4):2218-2226. PubMed ID: 33030573
[TBL] [Abstract][Full Text] [Related]
7. Deep learning-based virtual noncontrast CT for volumetric modulated arc therapy planning: Comparison with a dual-energy CT-based approach.
Koike Y; Ohira S; Akino Y; Sagawa T; Yagi M; Ueda Y; Miyazaki M; Sumida I; Teshima T; Ogawa K
Med Phys; 2020 Feb; 47(2):371-379. PubMed ID: 31733105
[TBL] [Abstract][Full Text] [Related]
8. Virtual monoenergetic reconstructions of dynamic DECT acquisitions for calculation of perfusion maps of blood flow: Quantitative comparison to conventional, dynamic 80 kV
Skornitzke S; Kauczor HU; Stiller W
Eur J Radiol; 2020 Oct; 131():109262. PubMed ID: 32942200
[TBL] [Abstract][Full Text] [Related]
9. Characteristics of the deep learning-based virtual monochromatic image with fast kilovolt-switching CT: a phantom study.
Katsuyama Y; Kojima T; Shirasaka T; Kondo M; Kato T
Radiol Phys Technol; 2023 Mar; 16(1):77-84. PubMed ID: 36583827
[TBL] [Abstract][Full Text] [Related]
10. Determination of the optimal range for virtual monoenergetic images in dual-energy CT based on physical quality parameters.
Fernandez-Velilla Cepria E; González-Ballester MÁ; Quera Jordana J; Pera O; Sanz Latiesas X; Foro Arnalot P; Membrive Conejo I; Rodriguez de Dios N; Reig Castillejo A; Algara Lopez M
Med Phys; 2021 Sep; 48(9):5085-5095. PubMed ID: 34287956
[TBL] [Abstract][Full Text] [Related]
11. Artificial intelligence-based image-domain material decomposition in single-energy computed tomography for head and neck cancer.
Koike Y; Ohira S; Yamamoto Y; Miyazaki M; Konishi K; Nakamura S; Tanigawa N
Int J Comput Assist Radiol Surg; 2024 Mar; 19(3):541-551. PubMed ID: 38219257
[TBL] [Abstract][Full Text] [Related]
12. Effect of iodine concentration reduction by comparison of virtual monoenergetic image quality with dual-energy computed tomography.
Shim J; Kim K; Lee Y
Appl Radiat Isot; 2023 Oct; 200():110967. PubMed ID: 37527620
[TBL] [Abstract][Full Text] [Related]
13. Robustness of CT radiomics features: consistency within and between single-energy CT and dual-energy CT.
Chen Y; Zhong J; Wang L; Shi X; Lu W; Li J; Feng J; Xia Y; Chang R; Fan J; Chen L; Zhu Y; Yan F; Yao W; Zhang H
Eur Radiol; 2022 Aug; 32(8):5480-5490. PubMed ID: 35192011
[TBL] [Abstract][Full Text] [Related]
14. Physical density estimations of single- and dual-energy CT using material-based forward projection algorithm: a simulation study.
Li KW; Fujiwara D; Haga A; Liu H; Geng LS
Br J Radiol; 2021 Dec; 94(1128):20201236. PubMed ID: 34541866
[TBL] [Abstract][Full Text] [Related]
15. Synthetic Low-Energy Monochromatic Image Generation in Single-Energy Computed Tomography System Using a Transformer-Based Deep Learning Model.
Koike Y; Ohira S; Kihara S; Anetai Y; Takegawa H; Nakamura S; Miyazaki M; Konishi K; Tanigawa N
J Imaging Inform Med; 2024 Apr; ():. PubMed ID: 38637424
[TBL] [Abstract][Full Text] [Related]
16. Dual-energy CT Aortography with 50% Reduced Iodine Dose Versus Single-energy CT Aortography with Standard Iodine Dose.
Shuman WP; Chan KT; Busey JM; Mitsumori LM; Koprowicz KM
Acad Radiol; 2016 May; 23(5):611-8. PubMed ID: 26897602
[TBL] [Abstract][Full Text] [Related]
17. Comparison of image quality, contrast administration, and radiation doses in pediatric abdominal dual-layer detector dual-energy CT using propensity score matching analysis.
Kang Y; Hwang SH; Han K; Shin HJ
Eur J Radiol; 2023 Dec; 169():111177. PubMed ID: 37944333
[TBL] [Abstract][Full Text] [Related]
18. Deep learning-based image reconstruction of 40-keV virtual monoenergetic images of dual-energy CT for the assessment of hypoenhancing hepatic metastasis.
Lee T; Lee JM; Yoon JH; Joo I; Bae JS; Yoo J; Kim JH; Ahn C; Kim JH
Eur Radiol; 2022 Sep; 32(9):6407-6417. PubMed ID: 35380228
[TBL] [Abstract][Full Text] [Related]
19. Feasibility of Dual-Energy Computed Tomography Imaging of Gadolinium-Based Contrast Agents and Its Application in Computed Tomography Cystography: An Exploratory Study to Assess an Alternative Option When Iodinated Contrast Agents Are Contraindicated.
Nogel SJ; Ren L; Yu L; Takahashi N; Froemming AT
J Comput Assist Tomogr; 2021 Sep-Oct 01; 45(5):691-695. PubMed ID: 34407061
[TBL] [Abstract][Full Text] [Related]
20. Virtual Monochromatic Image Quality from Dual-Layer Dual-Energy Computed Tomography for Detecting Brain Tumors.
Tanoue S; Nakaura T; Nagayama Y; Uetani H; Ikeda O; Yamashita Y
Korean J Radiol; 2021 Jun; 22(6):951-958. PubMed ID: 33569932
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]