298 related articles for article (PubMed ID: 28370063)
1. Total variation based DCE-MRI decomposition by separating lesion from background for time-intensity curve estimation.
Liu H; Zheng Y; Liang D; Tang P; Ren F; Zhang L; Zhao Z
Med Phys; 2017 Jun; 44(6):2321-2331. PubMed ID: 28370063
[TBL] [Abstract][Full Text] [Related]
2. Assessing the performance of benign and malignant breast lesion classification with bilateral TIC differentiation and other effective features in DCE-MRI.
Li H; Sun H; Liu S; Zhang W; Arukalam FM; Ma H; Qian W
J Magn Reson Imaging; 2019 Aug; 50(2):465-473. PubMed ID: 30688398
[TBL] [Abstract][Full Text] [Related]
3. A new background distribution-based active contour model for three-dimensional lesion segmentation in breast DCE-MRI.
Liu H; Liu Y; Zhao Z; Zhang L; Qiu T
Med Phys; 2014 Aug; 41(8):082303. PubMed ID: 25086552
[TBL] [Abstract][Full Text] [Related]
4. A computer-aided diagnosis system for breast DCE-MRI at high spatiotemporal resolution.
Dalmış MU; Gubern-Mérida A; Vreemann S; Karssemeijer N; Mann R; Platel B
Med Phys; 2016 Jan; 43(1):84. PubMed ID: 26745902
[TBL] [Abstract][Full Text] [Related]
5. Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI.
Chen W; Giger ML; Bick U; Newstead GM
Med Phys; 2006 Aug; 33(8):2878-87. PubMed ID: 16964864
[TBL] [Abstract][Full Text] [Related]
6. High-Resolution Diffusion-Weighted Imaging Improves the Diagnostic Accuracy of Dynamic Contrast-Enhanced Sinonasal Magnetic Resonance Imaging.
Wang F; Sha Y; Zhao M; Wan H; Zhang F; Cheng Y; Tang W
J Comput Assist Tomogr; 2017; 41(2):199-205. PubMed ID: 27560026
[TBL] [Abstract][Full Text] [Related]
7. Textural analysis of early-phase spatiotemporal changes in contrast enhancement of breast lesions imaged with an ultrafast DCE-MRI protocol.
Milenković J; Dalmış MU; Žgajnar J; Platel B
Med Phys; 2017 Sep; 44(9):4652-4664. PubMed ID: 28622412
[TBL] [Abstract][Full Text] [Related]
8. Discrimination between breast invasive ductal carcinomas and benign lesions by optimizing quantitative parameters derived from dynamic contrast-enhanced MRI using a semi-automatic method.
Yang J; Yin J
Int J Clin Oncol; 2019 Jul; 24(7):815-824. PubMed ID: 30810889
[TBL] [Abstract][Full Text] [Related]
9. Multilevel analysis of spatiotemporal association features for differentiation of tumor enhancement patterns in breast DCE-MRI.
Lee SH; Kim JH; Cho N; Park JS; Yang Z; Jung YS; Moon WK
Med Phys; 2010 Aug; 37(8):3940-56. PubMed ID: 20879557
[TBL] [Abstract][Full Text] [Related]
10. Quantitative discrimination between invasive ductal carcinomas and benign lesions based on semi-automatic analysis of time intensity curves from breast dynamic contrast enhanced MRI.
Yin J; Yang J; Han L; Guo Q; Zhang W
J Exp Clin Cancer Res; 2015 Mar; 34(1):24. PubMed ID: 25887917
[TBL] [Abstract][Full Text] [Related]
11. Assessment of dynamic contrast-enhanced magnetic resonance imaging in the differentiation of malignant from benign orbital masses.
Yuan Y; Kuai XP; Chen XS; Tao XF
Eur J Radiol; 2013 Sep; 82(9):1506-11. PubMed ID: 23561057
[TBL] [Abstract][Full Text] [Related]
12. 3-T dynamic contrast-enhanced MRI of the breast: pharmacokinetic parameters versus conventional kinetic curve analysis.
El Khouli RH; Macura KJ; Kamel IR; Jacobs MA; Bluemke DA
AJR Am J Roentgenol; 2011 Dec; 197(6):1498-505. PubMed ID: 22109308
[TBL] [Abstract][Full Text] [Related]
13. Enhanced mass on contrast-enhanced breast MR imaging: Lesion characterization using combination of dynamic contrast-enhanced and diffusion-weighted MR images.
Yabuuchi H; Matsuo Y; Okafuji T; Kamitani T; Soeda H; Setoguchi T; Sakai S; Hatakenaka M; Kubo M; Sadanaga N; Yamamoto H; Honda H
J Magn Reson Imaging; 2008 Nov; 28(5):1157-65. PubMed ID: 18972357
[TBL] [Abstract][Full Text] [Related]
14. A computerized global MR image feature analysis scheme to assist diagnosis of breast cancer: a preliminary assessment.
Yang Q; Li L; Zhang J; Shao G; Zheng B
Eur J Radiol; 2014 Jul; 83(7):1086-1091. PubMed ID: 24743001
[TBL] [Abstract][Full Text] [Related]
15. Classification of breast mass lesions using model-based analysis of the characteristic kinetic curve derived from fuzzy c-means clustering.
Chang YC; Huang YH; Huang CS; Chang PK; Chen JH; Chang RF
Magn Reson Imaging; 2012 Apr; 30(3):312-22. PubMed ID: 22245697
[TBL] [Abstract][Full Text] [Related]
16. A novel framework for evaluating the image accuracy of dynamic MRI and the application on accelerated breast DCE MRI.
Le Y; Nickel MD; Kannengiesser S; Kiefer B; Spottiswoode B; Dale B; Soon V; Lin C
MAGMA; 2018 Apr; 31(2):309-320. PubMed ID: 28894997
[TBL] [Abstract][Full Text] [Related]
17. Preoperative predicting malignancy in breast mass-like lesions: value of adding histogram analysis of apparent diffusion coefficient maps to dynamic contrast-enhanced magnetic resonance imaging for improving confidence level.
Liu HL; Zong M; Wei H; Lou JJ; Wang SQ; Zou QG; Shi HB; Jiang YN
Br J Radiol; 2017 Nov; 90(1079):20170394. PubMed ID: 28876982
[TBL] [Abstract][Full Text] [Related]
18. Computer-aided diagnosis of breast DCE-MRI using pharmacokinetic model and 3-D morphology analysis.
Wang TC; Huang YH; Huang CS; Chen JH; Huang GY; Chang YC; Chang RF
Magn Reson Imaging; 2014 Apr; 32(3):197-205. PubMed ID: 24439361
[TBL] [Abstract][Full Text] [Related]
19. Characterization of spatiotemporal changes for the classification of dynamic contrast-enhanced magnetic-resonance breast lesions.
Milenković J; Hertl K; Košir A; Zibert J; Tasič JF
Artif Intell Med; 2013 Jun; 58(2):101-14. PubMed ID: 23548472
[TBL] [Abstract][Full Text] [Related]
20. Background parenchymal enhancement and its effect on lesion detectability in ultrafast dynamic contrast-enhanced MRI.
Honda M; Kataoka M; Iima M; Miyake KK; Ohashi A; Kishimoto AO; Ota R; Nickel MD; Toi M; Togashi K
Eur J Radiol; 2020 Aug; 129():108984. PubMed ID: 32534350
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
