280 related articles for article (PubMed ID: 31957969)
1. A pitfall of using the circular-edge technique with image averaging for spatial resolution measurement in iteratively reconstructed CT images.
Narita A; Ohkubo M
J Appl Clin Med Phys; 2020 Feb; 21(2):144-151. PubMed ID: 31957969
[TBL] [Abstract][Full Text] [Related]
2. Modulation transfer function measurement of CT images by use of a circular edge method with a logistic curve-fitting technique.
Takenaga T; Katsuragawa S; Goto M; Hatemura M; Uchiyama Y; Shiraishi J
Radiol Phys Technol; 2015 Jan; 8(1):53-9. PubMed ID: 25142743
[TBL] [Abstract][Full Text] [Related]
3. An algorithm for automated modulation transfer function measurement using an edge of a PMMA phantom: Impact of field of view on spatial resolution of CT images.
Anam C; Fujibuchi T; Budi WS; Haryanto F; Dougherty G
J Appl Clin Med Phys; 2018 Nov; 19(6):244-252. PubMed ID: 30338920
[TBL] [Abstract][Full Text] [Related]
4. Deep Learning Reconstruction at CT: Phantom Study of the Image Characteristics.
Higaki T; Nakamura Y; Zhou J; Yu Z; Nemoto T; Tatsugami F; Awai K
Acad Radiol; 2020 Jan; 27(1):82-87. PubMed ID: 31818389
[TBL] [Abstract][Full Text] [Related]
5. Spatial resolution measurement for iterative reconstruction by use of image-averaging techniques in computed tomography.
Urikura A; Ichikawa K; Hara T; Nishimaru E; Nakaya Y
Radiol Phys Technol; 2014 Jul; 7(2):358-66. PubMed ID: 24880960
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Towards task-based assessment of CT performance: system and object MTF across different reconstruction algorithms.
Richard S; Husarik DB; Yadava G; Murphy SN; Samei E
Med Phys; 2012 Jul; 39(7):4115-22. PubMed ID: 22830744
[TBL] [Abstract][Full Text] [Related]
8. Isotope independent determination of PET/CT modulation transfer functions from phantom measurements on spheres.
Prenosil GA; Klaeser B; Hentschel M; Fürstner M; Berndt M; Krause T; Weitzel T
Med Phys; 2016 Oct; 43(10):5767. PubMed ID: 27782715
[TBL] [Abstract][Full Text] [Related]
9. Object shape dependency of in-plane resolution for iterative reconstruction of computed tomography.
Takata T; Ichikawa K; Mitsui W; Hayashi H; Minehiro K; Sakuta K; Nunome H; Matsubara K; Kawashima H; Matsuura Y; Gabata T
Phys Med; 2017 Jan; 33():146-151. PubMed ID: 28089191
[TBL] [Abstract][Full Text] [Related]
10. Simultaneous deblurring and iterative reconstruction of CBCT for image guided brain radiosurgery.
Hashemi S; Song WY; Sahgal A; Lee Y; Huynh C; Grouza V; Nordström H; Eriksson M; Dorenlot A; Régis JM; Mainprize JG; Ruschin M
Phys Med Biol; 2017 Apr; 62(7):2521-2541. PubMed ID: 28248652
[TBL] [Abstract][Full Text] [Related]
11. Effect of noise on MTF calculations using different phantoms.
González-López A
Med Phys; 2018 May; 45(5):1889-1898. PubMed ID: 29500817
[TBL] [Abstract][Full Text] [Related]
12. Technical assessment of a mobile CT scanner for image-guided brachytherapy.
Chernavsky NE; Morcos M; Wu P; Viswanathan AN; Siewerdsen JH
J Appl Clin Med Phys; 2019 Oct; 20(10):187-200. PubMed ID: 31578811
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Noise-resolution tradeoffs in x-ray CT imaging: a comparison of penalized alternating minimization and filtered backprojection algorithms.
Evans JD; Politte DG; Whiting BR; O'Sullivan JA; Williamson JF
Med Phys; 2011 Mar; 38(3):1444-58. PubMed ID: 21520856
[TBL] [Abstract][Full Text] [Related]
15. Objective performance assessment of five computed tomography iterative reconstruction algorithms.
Omotayo A; Elbakri I
J Xray Sci Technol; 2016 Nov; 24(6):913-930. PubMed ID: 27612054
[TBL] [Abstract][Full Text] [Related]
16. Combined iterative reconstruction and image-domain decomposition for dual energy CT using total-variation regularization.
Dong X; Niu T; Zhu L
Med Phys; 2014 May; 41(5):051909. PubMed ID: 24784388
[TBL] [Abstract][Full Text] [Related]
17. An effective method to verify line and point spread functions measured in computed tomography.
Ohkubo M; Wada S; Matsumoto T; Nishizawa K
Med Phys; 2006 Aug; 33(8):2757-64. PubMed ID: 16964851
[TBL] [Abstract][Full Text] [Related]
18. Assessment of the dose reduction potential of a model-based iterative reconstruction algorithm using a task-based performance metrology.
Samei E; Richard S
Med Phys; 2015 Jan; 42(1):314-23. PubMed ID: 25563271
[TBL] [Abstract][Full Text] [Related]
19. Iterative image-domain decomposition for dual-energy CT.
Niu T; Dong X; Petrongolo M; Zhu L
Med Phys; 2014 Apr; 41(4):041901. PubMed ID: 24694132
[TBL] [Abstract][Full Text] [Related]
20. [Improvement of Image Quality in the Axial Section Using High-resolution Scan Mode and Hybrid Iterative Reconstruction in Ultra-high-resolution Computed Tomography].
Sakai Y; Shirasaka T; Kondo M; Hamasaki H; Mikayama R; Matsumoto R; Hioki K; Onizuka Y; Yoshikawa H
Nihon Hoshasen Gijutsu Gakkai Zasshi; 2018 Dec; 74(12):1419-1427. PubMed ID: 30568092
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]