These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
Pubmed for Handhelds
PUBMED FOR HANDHELDS
Journal Abstract Search
118 related items for PubMed ID: 18838373
1. Predicting tumor location by modeling the deformation of the breast. Pathmanathan P, Gavaghan DJ, Whiteley JP, Chapman SJ, Brady JM. IEEE Trans Biomed Eng; 2008 Oct; 55(10):2471-80. PubMed ID: 18838373 [Abstract] [Full Text] [Related]
2. Breast lesion co-localisation between X-ray and MR images using finite element modelling. Lee AW, Rajagopal V, Babarenda Gamage TP, Doyle AJ, Nielsen PM, Nash MP. Med Image Anal; 2013 Dec; 17(8):1256-64. PubMed ID: 23860392 [Abstract] [Full Text] [Related]
6. Mammogram synthesis using a 3D simulation. I. Breast tissue model and image acquisition simulation. Bakic PR, Albert M, Brzakovic D, Maidment AD. Med Phys; 2002 Sep; 29(9):2131-9. PubMed ID: 12349935 [Abstract] [Full Text] [Related]
7. Automatic multimodal 2D/3D breast image registration using biomechanical FEM models and intensity-based optimization. Hopp T, Dietzel M, Baltzer PA, Kreisel P, Kaiser WA, Gemmeke H, Ruiter NV. Med Image Anal; 2013 Feb; 17(2):209-18. PubMed ID: 23265802 [Abstract] [Full Text] [Related]
8. Analytical derivation of elasticity in breast phantoms for deformation tracking. Groenhuis V, Visentin F, Siepel FJ, Maris BM, Dall'alba D, Fiorini P, Stramigioli S. Int J Comput Assist Radiol Surg; 2018 Oct; 13(10):1641-1650. PubMed ID: 29869320 [Abstract] [Full Text] [Related]
11. A nonlinear biomechanical model based registration method for aligning prone and supine MR breast images. Han L, Hipwell JH, Eiben B, Barratt D, Modat M, Ourselin S, Hawkes DJ. IEEE Trans Med Imaging; 2014 Mar; 33(3):682-94. PubMed ID: 24595342 [Abstract] [Full Text] [Related]
12. Validation of nonrigid image registration using finite-element methods: application to breast MR images. Schnabel JA, Tanner C, Castellano-Smith AD, Degenhard A, Leach MO, Hose DR, Hill DL, Hawkes DJ. IEEE Trans Med Imaging; 2003 Feb; 22(2):238-47. PubMed ID: 12716000 [Abstract] [Full Text] [Related]
16. Study of tissue compression in breast phantoms: possible implications for the use of X-ray mammography as a method of imaging breast carcinoma. Watmough DJ, Quan KM, Aspden RM, Mallard JR. Eur J Surg Oncol; 1992 Dec; 18(6):538-44. PubMed ID: 1478286 [Abstract] [Full Text] [Related]
17. A new validation method for X-ray mammogram registration algorithms using a projection model of breast X-ray compression. Hipwell JH, Tanner C, Crum WR, Schnabel JA, Hawkes DJ. IEEE Trans Med Imaging; 2007 Sep; 26(9):1190-200. PubMed ID: 17896592 [Abstract] [Full Text] [Related]
18. Towards a more realistic biomechanical modelling of breast malignant tumours. Wessel C, Schnabel JA, Brady M. Phys Med Biol; 2012 Feb 07; 57(3):631-48. PubMed ID: 22241544 [Abstract] [Full Text] [Related]
19. The compressed breast during mammography and breast tomosynthesis: in vivo shape characterization and modeling. Rodríguez-Ruiz A, Agasthya GA, Sechopoulos I. Phys Med Biol; 2017 Aug 07; 62(17):6920-6937. PubMed ID: 28665291 [Abstract] [Full Text] [Related]
20. Towards an in-plane methodology to track breast lesions using mammograms and patient-specific finite-element simulations. Lapuebla-Ferri A, Cegoñino-Banzo J, Jiménez-Mocholí AJ, Del Palomar AP. Phys Med Biol; 2017 Nov 01; 62(22):8720-8738. PubMed ID: 29091591 [Abstract] [Full Text] [Related] Page: [Next] [New Search]