MSc in computer science and PhD in medical imaging from NTNU university (Trondheim, Norway).
Working as global SW architect for the Ultrasound business in GE Healthcare (Oslo, Norway).
Have completed a PhD on algorithms for real-time tracking of deformable models in volumetric data, using sequential state estimation. The primary application was automatic left ventricular segmentation in 3D echocardiography.
The PhD included development of the world's fastest algorithm for 3D segmentation and tracking with deformable models. The developed tracking framework operated 10-100 times faster than known comparable systems, with typical execution times of 5 ms per model per 3D frame on typical computer hardware as of 2008.
Examples of automatic 3D segmentation/tracking conducted in
Endocardial LV segmentation with a Doo-Sabin surface.
Endocardial and epicardial LV segmentation with two coupled Doo-Sabin surfaces.
Tracking of LV endo+epi and RV in cardiac CT.
Automatic bladder segmentation.
F. Orderud: Real-time segmentation of 3D echocardiograms using a state estimation approach with deformable models, NTNU 2010 (PDF, presentation). Opponents: professor Alison Noble, Oxford University; assistant professor Johan G. Bosch, Erasmus MC Rotterdam.
Selected 3D segmentation/tracking publications
F. Orderud, H. Torp, S.I. Rabben: Automatic Alignment of Standard Views in 3D Echocardiograms Using Real-time Tracking, in proceedings of the SPIE Medical Imaging conference - SPIE MedImg 2009 (DOI, PDF).
F. Orderud, G. Kiss, S. Langeland, E. Remme, H. Torp, S.I. Rabben: Combining Edge Detection With Speckle-Tracking for Cardiac Strain Assessment in 3D echocardiography, in proceedings of the IEEE Ultrasonics symposium - IUS 2008 (DOI, PDF).
F. Orderud, G. Kiss, H. Torp: Automatic coupled segmentation of endo- and epicardial borders in 3D echocardiography, in proceedings of the IEEE Ultrasonics symposium - IUS 2008 (DOI, PDF).
F. Orderud, G. Kiss, S. Langeland, E. Remme, H. Torp, S.I. Rabben: Real-time Left Ventricular Speckle-Tracking in 3D Echocardiography With Deformable Subdivision Surfaces, in proceedings of the MICCAI workshop on Analysis of Medical Images - f-MICCAI 2008, p. 41-48 (PDF, presentation).
F. Orderud, S.I. Rabben: Real-time 3D Segmentation of the Left Ventricle Using Deformable Subdivision Surfaces, in proceedings in the IEEE Computer Society Conference on Computer Vision and Pattern Recognition - CVPR 2008, p. 1-8 (DOI, PDF, poster).
F. Orderud, J. Hansegård, S.I. Rabben: Real-time Tracking of the Left Ventricle in 3D Echocardiography Using a State Estimation Approach, in proceedings of the 10th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2007, p. 858-865 (DOI, PDF, poster).
J. Hansegård, F. Orderud, S.I. Rabben: Real-Time Active Shape Models for Segmentation of 3D Cardiac Ultrasound, in proceedings of the 12th International Conference on Computer Analysis of Images and Patterns - CAIP 2007, p. 157-164 (DOI, PDF, presentation, movie clip).
F. Orderud: A Framework for Real-Time Left Ventricular Tracking in 3D+T Echocardiography, Using Nonlinear Deformable Contours and Kalman Filter Based Tracking, in proceedings of IEEE Computers in Cardiology - CinC 2006, p. 125-128 (DOI, PDF, presentation.
Other selected publications
F. Orderud, J. Hansegård, B. Amundsen, H. Torp, S.I. Rabben: Real-time Left Ventricular Volume Measurements in 3D Echocardiograms, presented abstract on EuroEcho 2007 (PDF).
L. Løvstakken and F. Orderud, and H. Torp: Real-time Indication of Acoustic Window for Phased-array Transducers in Ultrasound Imaging, in proceedings of IEEE Ultrasonics symposium - IUS 2007, p. 1549-1552 (DOI, PDF, poster).
F. Orderud: Comparison of Kalman Filter Estimation Approaches for State Space Models with Nonlinear Measurements, in proceedings of Scandinavian Conference on Simulation and Modeling - SIMS 2005 (PDF, code).
Complete publication search (co-author of 48 publications with 244 citations as of December 2014).
PhD theseses based on the same Kalman tracking framework: