Lasse Løvstakken
Professor
Background and activities
My research interests is targeted towards medical ultrasound imaging, a method where echoes from high-frequency sound waves emitted into the body can be used to make images and measure properties of tissue and blood flow. Ultrasound imaging technology has had a remarkable development in recent years, providing a basis for clearer images that can be used to obtain a more certain medical diagnosis in the future healthcare.
Follow this link to read more about one of my on-going research projects where we are developing and evaluating 3D ultrasound imaging of blood flow in the hearts of children and adults: http://blog.medisin.ntnu.no/3d-ultralydbilder-av-blodstrom-kan-gi-bedre-forstaelse-av-hjertesykdom/
Scientific, academic and artistic work
A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database
Journal publications
- (2018) Ultrasound speckle reduction using generative adversial networks. Proceedings - IEEE Ultrasonics Symposium.
- (2018) Detection of Cardiac Events in Echocardiography using 3D Convolutional Recurrent Neural Networks. Proceedings - IEEE Ultrasonics Symposium.
- (2018) A fast 4D B-spline framework for model-based reconstruction and regularization in vector flow imaging. Proceedings - IEEE Ultrasonics Symposium.
- (2018) Automatic intraoperative estimation of blood flow direction during neurosurgical interventions. International Journal of Computer Assisted Radiology and Surgery. vol. 13 (5).
- (2018) Quantitative Doppler analysis using conventional color flow imaging acquisitions. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control. vol. 65 (5).
- (2018) Deep learning applied to multi-structure segmentation in 2D echocardiography: A preliminary investigation of the required database size. Proceedings - IEEE Ultrasonics Symposium.
- (2018) Spatial and Temporal Adaptive FIR Clutter Filtering. Proceedings - IEEE Ultrasonics Symposium.
- (2018) Fully automatic real-time ejection fraction and MAPSE measurements in 2D echocardiography using deep neural networks. Proceedings - IEEE Ultrasonics Symposium.
- (2018) 4D Intracardiac Ultrasound Vector Flow Imaging -Feasibility and Comparison to Phase-Contrast MRI. IEEE Transactions on Medical Imaging.
- (2018) Real-time Standard View Classification in Transthoracic Echocardiography using Convolutional Neural Networks. Ultrasound in Medicine and Biology.
- (2018) Automatic Myocardial Strain Imaging in Echocardiography Using Deep Learning. Lecture Notes in Computer Science. vol. 11045.
- (2017) Combined 2-D Vector imaging and Tracking Doppler for improved vascular blood velocity quantification. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control. vol. 64 (12).
- (2017) Vector Flow Imaging of Fetal Circulation using Diverging Waves. Proceedings - IEEE Ultrasonics Symposium.
- (2017) In vivo intracardiac vector flow imaging using phased array transducers for pediatric cardiology. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control. vol. 64 (9).
- (2017) Real-time assimilation and regularization of ultrasound blood velocity measurements using smoothed particle hydrodynamics. Proceedings - IEEE Ultrasonics Symposium. vol. 2017.
- (2017) Right ventricular flow dynamics in dilated right ventricles. Energy loss estimation based on blood speckle tracking echocardiography in children. Journal of the American Society of Echocardiography. vol. 30 (6).
- (2017) Specular Beamforming. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control. vol. 64 (9).
- (2017) The UltraSound ToolBox. Proceedings - IEEE Ultrasonics Symposium.
- (2017) Sequential CPWC: from ultrafast to ultralight. Proceedings of SPIE, the International Society for Optical Engineering. vol. 10139.
- (2017) Clutter filter wave imaging (CFWI): A new way to visualize and detect mechanical waves propagation. Proceedings - IEEE Ultrasonics Symposium.