116 related articles for article (PubMed ID: 38753583)
1. Protocol optimization for functional cardiac CT imaging using noise emulation in the raw data domain.
Yin Z; Wu P; Manohar A; McVeigh ER; Pack JD
Med Phys; 2024 May; ():. PubMed ID: 38753583
[TBL] [Abstract][Full Text] [Related]
2. Protocol Optimization for Functional Cardiac CT Imaging Using Noise Emulation in the Raw Data Domain.
Yin Z; Wu P; Manohar A; McVeigh ER; Pack JD
ArXiv; 2024 Mar; ():. PubMed ID: 38560739
[TBL] [Abstract][Full Text] [Related]
3. Low-dose preview for patient-specific, task-specific technique selection in cone-beam CT.
Wang AS; Stayman JW; Otake Y; Vogt S; Kleinszig G; Khanna AJ; Gallia GL; Siewerdsen JH
Med Phys; 2014 Jul; 41(7):071915. PubMed ID: 24989393
[TBL] [Abstract][Full Text] [Related]
4. Validation of synthesized normal-resolution image data generated from high-resolution acquisitions on a commercial CT scanner.
Hernandez AM; Shin DW; Abbey CK; Seibert JA; Akino N; Goto T; Vaishnav JY; Boedeker KL; Boone JM
Med Phys; 2020 Oct; 47(10):4775-4785. PubMed ID: 32677085
[TBL] [Abstract][Full Text] [Related]
5. CT head-scan dosimetry in an anthropomorphic phantom and associated measurement of ACR accreditation-phantom imaging metrics under clinically representative scan conditions.
Brunner CC; Stern SH; Minniti R; Parry MI; Skopec M; Chakrabarti K
Med Phys; 2013 Aug; 40(8):081917. PubMed ID: 23927331
[TBL] [Abstract][Full Text] [Related]
6. Synthetic CT: simulating low dose single and dual energy protocols from a dual energy scan.
Wang AS; Pelc NJ
Med Phys; 2011 Oct; 38(10):5551-62. PubMed ID: 21992373
[TBL] [Abstract][Full Text] [Related]
7. A systematic task-based image quality assessment of photon-counting and energy integrating CT as a function of reconstruction kernel and phantom size.
Bhattarai M; Bache S; Abadi E; Samei E
Med Phys; 2024 Feb; 51(2):1047-1060. PubMed ID: 37469179
[TBL] [Abstract][Full Text] [Related]
8. Technical Note: Evaluation of a 160-mm/256-row CT scanner for whole-heart quantitative myocardial perfusion imaging.
So A; Imai Y; Nett B; Jackson J; Nett L; Hsieh J; Wisenberg G; Teefy P; Yadegari A; Islam A; Lee TY
Med Phys; 2016 Aug; 43(8):4821. PubMed ID: 27487900
[TBL] [Abstract][Full Text] [Related]
9. Characterization of a commercial hybrid iterative and model-based reconstruction algorithm in radiation oncology.
Price RG; Vance S; Cattaneo R; Schultz L; Elshaikh MA; Chetty IJ; Glide-Hurst CK
Med Phys; 2014 Aug; 41(8):081907. PubMed ID: 25086538
[TBL] [Abstract][Full Text] [Related]
10. A comparative study based on image quality and clinical task performance for CT reconstruction algorithms in radiotherapy.
Li H; Dolly S; Chen HC; Anastasio MA; Low DA; Li HH; Michalski JM; Thorstad WL; Gay H; Mutic S
J Appl Clin Med Phys; 2016 Jul; 17(4):377-390. PubMed ID: 27455472
[TBL] [Abstract][Full Text] [Related]
11. Synthetization of high-dose images using low-dose CT scans.
Hsieh J
Med Phys; 2024 Jan; 51(1):113-125. PubMed ID: 37975625
[TBL] [Abstract][Full Text] [Related]
12. Characteristic image quality of a third generation dual-source MDCT scanner: Noise, resolution, and detectability.
Solomon J; Wilson J; Samei E
Med Phys; 2015 Aug; 42(8):4941-53. PubMed ID: 26233220
[TBL] [Abstract][Full Text] [Related]
13. A method for characterizing and matching CT image quality across CT scanners from different manufacturers.
Winslow J; Zhang Y; Samei E
Med Phys; 2017 Nov; 44(11):5705-5717. PubMed ID: 28865170
[TBL] [Abstract][Full Text] [Related]
14. Low-dose cone-beam CT via raw counts domain low-signal correction schemes: Performance assessment and task-based parameter optimization (Part I: Assessment of spatial resolution and noise performance).
Hayes JW; Gomez-Cardona D; Zhang R; Li K; Cruz-Bastida JP; Chen GH
Med Phys; 2018 May; 45(5):1942-1956. PubMed ID: 29532483
[TBL] [Abstract][Full Text] [Related]
15. Application of fractal dimension for quantifying noise texture in computed tomography images.
Khobragade P; Fan J; Rupcich F; Crotty DJ; Schmidt TG
Med Phys; 2018 Jun; ():. PubMed ID: 29885062
[TBL] [Abstract][Full Text] [Related]
16. Faster and lower dose imaging: evaluating adaptive, constant gantry velocity and angular separation in fast low-dose 4D cone beam CT imaging.
Lau BKF; Dillon O; Vinod SK; O'Brien RT; Reynolds T
Med Phys; 2024 Feb; 51(2):1364-1382. PubMed ID: 37427751
[TBL] [Abstract][Full Text] [Related]
17. Toward standardized quantitative image quality (IQ) assessment in computed tomography (CT): A comprehensive framework for automated and comparative IQ analysis based on ICRU Report 87.
Pahn G; Skornitzke S; Schlemmer HP; Kauczor HU; Stiller W
Phys Med; 2016 Jan; 32(1):104-15. PubMed ID: 26520485
[TBL] [Abstract][Full Text] [Related]
18. Image quality of conventional images of dual-layer SPECTRAL CT: A phantom study.
van Ommen F; Bennink E; Vlassenbroek A; Dankbaar JW; Schilham AMR; Viergever MA; de Jong HWAM
Med Phys; 2018 Jul; 45(7):3031-3042. PubMed ID: 29749624
[TBL] [Abstract][Full Text] [Related]
19. Realistic simulation of reduced-dose CT with noise modeling and sinogram synthesis using DICOM CT images.
Won Kim C; Kim JH
Med Phys; 2014 Jan; 41(1):011901. PubMed ID: 24387509
[TBL] [Abstract][Full Text] [Related]
20. Low contrast- and low radiation dose protocol for cardiac CT of thin adults at 256-row CT: usefulness of low tube voltage scans and the hybrid iterative reconstruction algorithm.
Nakaura T; Kidoh M; Sakaino N; Utsunomiya D; Oda S; Kawahara T; Harada K; Yamashita Y
Int J Cardiovasc Imaging; 2013 Apr; 29(4):913-23. PubMed ID: 23160977
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
