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A quality control system for automated prostate segmentation on T2-weighted MRI

Author:Mohammed Sunoqrot  Kirsten Selnæs  Olmo Zavala-Romero  Radka Stoyanova  Tone Bathen  Mattijs Elschot  

Institution:NTNU, Norwegian University of Science and Technolog  University of Miami Miller School of Medicine  St. Olavs Hospital  

Session Type:Digital Poster  

Session Date:Monday, 13 May 2019  

Session Time:13:45  

Session Name:Prostate MRI: Technical Developments  

Program Number:1622  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 14  

Breast lesion classification accuracy using intravoxel incoherent motion diffusion modelling is improved by incorporating all parameters and informative Bayesian priors

Author:Neil Jerome  Igor Vidic  Tone Bathen  Pål Goa  Peter While  

Institution:Norwegian University of Science and Technology (NTNU)  St Olavs University Hospital  St Olavs Hospital  

Session Type:Oral  

Session Date:Monday, 13 May 2019  

Session Time:16:00  

Session Name:Breast  

Program Number:0282  

Presentation Time:17:00   

Room Number:Room 513D-F  

Computer Number:

Initial evaluation of an automated acquisition workflow for multiparametric MR (spectroscopic) imaging of the prostate

Maximising Repeatability: It’s Time to Reconsider the Sampling Scheme for IVIM

Author:Callie Deng  Pa°l Erik Goa  Matthew Orton  Torill Sjøbakk  Tone Bathen  Neil Jerome  

Institution:Cancer Research UK Cancer Imaging Centre   Norwegian University of Science and Technology  St. Olavs University Hospital  

Session Type:Digital Poster  

Session Date:Wednesday, 15 May 2019  

Session Time:09:15  

Session Name:Diffusion MRI: Data Acquisition  

Program Number:3515  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 7  

mpMRI-based Tumor Probability Maps for Guidance of Targeted Prostate Biopsies

Object Recognition for Fully Automated Reference Tissue Normalization of T2-weighted MR Images of the Prostate

Author:Mattijs Elschot  Gabriel Nketiah  Mohammed Sunoqrot  Tone Bathen  

Institution:NTNU, Norwegian University of Science and Technology  St. Olavs Hospital, Trondheim University Hospital  

Session Type:Digital Poster  

Session Date:Monday, 13 May 2019  

Session Time:13:45  

Session Name:Prostate MRI: Technical Developments  

Program Number:1614  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 6