287 related articles for article (PubMed ID: 29223511)
1. Ultra-low dose quantitative CT myocardial perfusion imaging with sparse-view dynamic acquisition and image reconstruction: A feasibility study.
Enjilela E; Lee TY; Hsieh J; Wisenberg G; Teefy P; Yadegari A; Bagur R; Islam A; Branch K; So A
Int J Cardiol; 2018 Mar; 254():272-281. PubMed ID: 29223511
[TBL] [Abstract][Full Text] [Related]
2. Cubic-Spline Interpolation for Sparse-View CT Image Reconstruction With Filtered Backprojection in Dynamic Myocardial Perfusion Imaging.
Enjilela E; Lee TY; Wisenberg G; Teefy P; Bagur R; Islam A; Hsieh J; So A
Tomography; 2019 Sep; 5(3):300-307. PubMed ID: 31572791
[TBL] [Abstract][Full Text] [Related]
3. Ultra-Low-Dose Sparse-View Quantitative CT Liver Perfusion Imaging.
Enjilela E; Lee TY; Hsieh J; Murjoomdar A; Stewart E; Dekaban M; Su F; So A
Tomography; 2017 Dec; 3(4):175-179. PubMed ID: 30042980
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Low dose dynamic CT myocardial perfusion imaging using a statistical iterative reconstruction method.
Tao Y; Chen GH; Hacker TA; Raval AN; Van Lysel MS; Speidel MA
Med Phys; 2014 Jul; 41(7):071914. PubMed ID: 24989392
[TBL] [Abstract][Full Text] [Related]
6. Development of a chest digital tomosynthesis R/F system and implementation of low-dose GPU-accelerated compressed sensing (CS) image reconstruction.
Choi S; Lee H; Lee D; Choi S; Lee CL; Kwon W; Shin J; Seo CW; Kim HJ
Med Phys; 2018 May; 45(5):1871-1888. PubMed ID: 29500855
[TBL] [Abstract][Full Text] [Related]
7. Dual energy CT with one full scan and a second sparse-view scan using structure preserving iterative reconstruction (SPIR).
Wang T; Zhu L
Phys Med Biol; 2016 Sep; 61(18):6684-6706. PubMed ID: 27552793
[TBL] [Abstract][Full Text] [Related]
8. A compressed sensing-based iterative algorithm for CT reconstruction and its possible application to phase contrast imaging.
Li X; Luo S
Biomed Eng Online; 2011 Aug; 10():73. PubMed ID: 21849088
[TBL] [Abstract][Full Text] [Related]
9. Bone-induced streak artifact suppression in sparse-view CT image reconstruction.
Jin SO; Kim JG; Lee SY; Kwon OK
Biomed Eng Online; 2012 Aug; 11():44. PubMed ID: 22856868
[TBL] [Abstract][Full Text] [Related]
10. Spectrotemporal CT data acquisition and reconstruction at low dose.
Clark DP; Lee CL; Kirsch DG; Badea CT
Med Phys; 2015 Nov; 42(11):6317-36. PubMed ID: 26520724
[TBL] [Abstract][Full Text] [Related]
11. Ultra-low dose CT attenuation correction for PET/CT: analysis of sparse view data acquisition and reconstruction algorithms.
Rui X; Cheng L; Long Y; Fu L; Alessio AM; Asma E; Kinahan PE; De Man B
Phys Med Biol; 2015 Oct; 60(19):7437-60. PubMed ID: 26352168
[TBL] [Abstract][Full Text] [Related]
12. Radiation Dose Reduction in CT Myocardial Perfusion Imaging Using SMART-RECON.
Li Y; Speidel MA; Francois CJ; Chen GH
IEEE Trans Med Imaging; 2017 Dec; 36(12):2557-2568. PubMed ID: 28866488
[TBL] [Abstract][Full Text] [Related]
13. Reduction of image noise in low tube current dynamic CT myocardial perfusion imaging using HYPR processing: a time-attenuation curve analysis.
Speidel MA; Bateman CL; Tao Y; Raval AN; Hacker TA; Reeder SB; Van Lysel MS
Med Phys; 2013 Jan; 40(1):011904. PubMed ID: 23298095
[TBL] [Abstract][Full Text] [Related]
14. Promote quantitative ischemia imaging via myocardial perfusion CT iterative reconstruction with tensor total generalized variation regularization.
Gu C; Zeng D; Lin J; Li S; He J; Zhang H; Bian Z; Niu S; Zhang Z; Huang J; Chen B; Zhao D; Chen W; Ma J
Phys Med Biol; 2018 Jun; 63(12):125009. PubMed ID: 29794346
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Compressed sensing reconstruction shortens the acquisition time for myocardial perfusion imaging: a simulation study.
Fukami M; Matsutomo N; Hashimoto T; Yamamoto T; Sasaki M
Radiol Phys Technol; 2023 Sep; 16(3):397-405. PubMed ID: 37382801
[TBL] [Abstract][Full Text] [Related]
17. Temporal feature prior-aided separated reconstruction method for low-dose dynamic myocardial perfusion computed tomography.
Chen Z; Zeng D; Huang Z; Ma J; Gu Z; Yang Y; Liu X; Zheng H; Liang D; Hu Z
Phys Med Biol; 2021 Feb; 66(4):045012. PubMed ID: 33333495
[TBL] [Abstract][Full Text] [Related]
18. Low-dose CT perfusion with projection view sharing.
Martin T; Hoffman J; Alger JR; McNitt-Gray M; Wang DJ
Med Phys; 2018 Jan; 45(1):101-113. PubMed ID: 29080274
[TBL] [Abstract][Full Text] [Related]
19. Nonconvex prior image constrained compressed sensing (NCPICCS): theory and simulations on perfusion CT.
Ramirez-Giraldo JC; Trzasko J; Leng S; Yu L; Manduca A; McCollough CH
Med Phys; 2011 Apr; 38(4):2157-67. PubMed ID: 21626949
[TBL] [Abstract][Full Text] [Related]
20. Median prior constrained TV algorithm for sparse view low-dose CT reconstruction.
Liu Y; Shangguan H; Zhang Q; Zhu H; Shu H; Gui Z
Comput Biol Med; 2015 May; 60():117-31. PubMed ID: 25817533
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
