163 related articles for article (PubMed ID: 31453975)
1. Accuracy of Pulmonary Nodule Volumetry at Different Exposure Parameters in Low-Dose Computed Tomography: A Phantom Study.
Liu J; Qing H; Luo H; He C; Wang C; Ren J; Zhou P
J Comput Assist Tomogr; 2019; 43(6):926-930. PubMed ID: 31453975
[TBL] [Abstract][Full Text] [Related]
2. CT volumetry of artificial pulmonary nodules using an ex vivo lung phantom: influence of exposure parameters and iterative reconstruction on reproducibility.
Wielpütz MO; Lederlin M; Wroblewski J; Dinkel J; Eichinger M; Biederer J; Kauczor HU; Puderbach M
Eur J Radiol; 2013 Sep; 82(9):1577-83. PubMed ID: 23727376
[TBL] [Abstract][Full Text] [Related]
3. Accuracy of lung nodule volumetry in low-dose CT with iterative reconstruction: an anthropomorphic thoracic phantom study.
Doo KW; Kang EY; Yong HS; Woo OH; Lee KY; Oh YW
Br J Radiol; 2014 Sep; 87(1041):20130644. PubMed ID: 25026866
[TBL] [Abstract][Full Text] [Related]
4. Systematic error in lung nodule volumetry: effect of iterative reconstruction versus filtered back projection at different CT parameters.
Willemink MJ; Leiner T; Budde RP; de Kort FP; Vliegenthart R; van Ooijen PM; Oudkerk M; de Jong PA
AJR Am J Roentgenol; 2012 Dec; 199(6):1241-6. PubMed ID: 23169714
[TBL] [Abstract][Full Text] [Related]
5. Influence of radiation dose and iterative reconstruction algorithms for measurement accuracy and reproducibility of pulmonary nodule volumetry: A phantom study.
Kim H; Park CM; Song YS; Lee SM; Goo JM
Eur J Radiol; 2014 May; 83(5):848-57. PubMed ID: 24572380
[TBL] [Abstract][Full Text] [Related]
6. Accuracy of Pulmonary Nodule Volumetry Using Noise-Optimized Virtual Monoenergetic Image and Nonlinear Blending Image Algorithms in Dual-Energy Computed Tomography: A Phantom Study.
He C; Liu J; Hu S; Qing H; Qiao L; Luo H; Chen X; Zhou P
J Comput Assist Tomogr; 2020; 44(6):847-851. PubMed ID: 32976271
[TBL] [Abstract][Full Text] [Related]
7. Ultralow-dose chest computed tomography for pulmonary nodule detection: first performance evaluation of single energy scanning with spectral shaping.
Gordic S; Morsbach F; Schmidt B; Allmendinger T; Flohr T; Husarik D; Baumueller S; Raupach R; Stolzmann P; Leschka S; Frauenfelder T; Alkadhi H
Invest Radiol; 2014 Jul; 49(7):465-73. PubMed ID: 24598443
[TBL] [Abstract][Full Text] [Related]
8. Effect of radiation dose and iterative reconstruction on lung lesion conspicuity at MDCT: does one size fit all?
Botelho MP; Agrawal R; Gonzalez-Guindalini FD; Hart EM; Patel SK; Töre HG; Yaghmai V
Eur J Radiol; 2013 Nov; 82(11):e726-33. PubMed ID: 23928232
[TBL] [Abstract][Full Text] [Related]
9. Pulmonary nodules with ground-glass opacity can be reliably measured with low-dose techniques regardless of iterative reconstruction: results of a phantom study.
Siegelman JW; Supanich MP; Gavrielides MA
AJR Am J Roentgenol; 2015 Jun; 204(6):1242-7. PubMed ID: 26001234
[TBL] [Abstract][Full Text] [Related]
10. Automated volumetry of solid pulmonary nodules in a phantom: accuracy across different CT scanner technologies.
Das M; Mühlenbruch G; Katoh M; Bakai A; Salganicoff M; Stanzel S; Mahnken AH; Günther RW; Wildberger JE
Invest Radiol; 2007 May; 42(5):297-302. PubMed ID: 17414525
[TBL] [Abstract][Full Text] [Related]
11. Accuracy of two deep learning-based reconstruction methods compared with an adaptive statistical iterative reconstruction method for solid and ground-glass nodule volumetry on low-dose and ultra-low-dose chest computed tomography: A phantom study.
Kim C; Kwack T; Kim W; Cha J; Yang Z; Yong HS
PLoS One; 2022; 17(6):e0270122. PubMed ID: 35737734
[TBL] [Abstract][Full Text] [Related]
12. Repeatability of small lung nodule measurement in low-dose lung screening: a phantom study.
Du Y; Shi GF; Wang YN; Wang Q; Feng H
BMC Med Imaging; 2020 Oct; 20(1):112. PubMed ID: 33008318
[TBL] [Abstract][Full Text] [Related]
13. Computer-aided segmentation and volumetry of artificial ground-glass nodules at chest CT.
Scholten ET; Jacobs C; van Ginneken B; Willemink MJ; Kuhnigk JM; van Ooijen PM; Oudkerk M; Mali WP; de Jong PA
AJR Am J Roentgenol; 2013 Aug; 201(2):295-300. PubMed ID: 23883209
[TBL] [Abstract][Full Text] [Related]
14. Volumetric measurement pulmonary ground-glass opacity nodules with multi-detector CT: effect of various tube current on measurement accuracy--a chest CT phantom study.
Linning E; Daqing M
Acad Radiol; 2009 Aug; 16(8):934-9. PubMed ID: 19409818
[TBL] [Abstract][Full Text] [Related]
15. "Will I change nodule management recommendations if I change my CAD system?"-impact of volumetric deviation between different CAD systems on lesion management.
Peters AA; Christe A; von Stackelberg O; Pohl M; Kauczor HU; Heußel CP; Wielpütz MO; Ebner L
Eur Radiol; 2023 Aug; 33(8):5568-5577. PubMed ID: 36894752
[TBL] [Abstract][Full Text] [Related]
16. Diagnostic validation of a deep learning nodule detection algorithm in low-dose chest CT: determination of optimized dose thresholds in a virtual screening scenario.
Peters AA; Huber AT; Obmann VC; Heverhagen JT; Christe A; Ebner L
Eur Radiol; 2022 Jun; 32(6):4324-4332. PubMed ID: 35059804
[TBL] [Abstract][Full Text] [Related]
17. Ultra-low-dose spectral-detector computed tomography for the accurate quantification of pulmonary nodules: an anthropomorphic chest phantom study.
Zhou X; Zhang H; Jin X; Zhang X; Lu X; Han Q; Xiong X; Liu T; Feng Y; Tu W; Zhou T; Ge Y; Dong P; Liu S; Fan L
Diagn Interv Radiol; 2023 Sep; 29(5):691-703. PubMed ID: 37559745
[TBL] [Abstract][Full Text] [Related]
18. Measurement accuracy of lung nodule volumetry in a phantom study: Effect of axial-volume scan and iterative reconstruction algorithm.
Lee HN; Kim JI; Shin SY
Medicine (Baltimore); 2020 Jun; 99(23):e20543. PubMed ID: 32502015
[TBL] [Abstract][Full Text] [Related]
19. Comparative evaluation of newly developed model-based and commercially available hybrid-type iterative reconstruction methods and filter back projection method in terms of accuracy of computer-aided volumetry (CADv) for low-dose CT protocols in phantom study.
Ohno Y; Yaguchi A; Okazaki T; Aoyagi K; Yamagata H; Sugihara N; Koyama H; Yoshikawa T; Sugimura K
Eur J Radiol; 2016 Aug; 85(8):1375-82. PubMed ID: 27423675
[TBL] [Abstract][Full Text] [Related]
20. Computer-aided detection of artificial pulmonary nodules using an ex vivo lung phantom: influence of exposure parameters and iterative reconstruction.
Wielpütz MO; Wroblewski J; Lederlin M; Dinkel J; Eichinger M; Koenigkam-Santos M; Biederer J; Kauczor HU; Puderbach MU; Jobst BJ
Eur J Radiol; 2015 May; 84(5):1005-11. PubMed ID: 25740701
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
