Lasse Løvstakken
Bakgrunn og aktiviteter
Mine interesser og forskning er innen medisinsk ultralydavbildning, en metode hvor man basert på ekko fra utsendte høyfrekvente lydbølger danner bilder og måler egenskaper til vev og blod i kroppen. Ultralydavbildningsteknologien har hatt en rivende utvikling de siste årene, og mulighetene for klarere bilder som kan gi en sikrere medisinsk diagnose blir stadig forbedret.
Følg linken for en beskrivelse av et av mine pågående forskningsprosjekter som omhandler 3D ultralydavbildning av blodstrøm i hjertet til barn og voksne: http://blog.medisin.ntnu.no/3d-ultralydbilder-av-blodstrom-kan-gi-bedre-forstaelse-av-hjertesykdom/
Vitenskapelig, faglig og kunstnerisk arbeid
Et utvalg av nyere tidsskriftspublikasjoner, kunstneriske produksjoner, bok, inklusiv bokdeler og rapport-del. Se alle publikasjoner i databasen
Tidsskriftspublikasjoner
- (2020) Blood Speckle-Tracking Based on High–Frame Rate Ultrasound Imaging in Pediatric Cardiology. Journal of the American Society of Echocardiography.
- (2019) Data Adaptive 2-D Tracking Doppler for High-Resolution Spectral Estimation. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control. vol. 67 (1).
- (2019) RU-Net: A refining segmentation network for 2D echocardiography. Proceedings - IEEE Ultrasonics Symposium. vol. 2019-October.
- (2019) Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography. IEEE Transactions on Medical Imaging. vol. 38 (9).
- (2019) A Direct Measurement of Inter-Element Cross-Talk in Ultrasound Arrays. Proceedings - IEEE Ultrasonics Symposium. vol. 2019-October.
- (2019) High frame rate color flow echocardiography: A comparison of different imaging approaches. Journal of the Acoustical Society of America. vol. 146 (4).
- (2019) Clutter Filter Wave Imaging. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control. vol. 66 (9).
- (2019) Segmentation of apical long axis, four- and two-chamber views using deep neural networks. Proceedings - IEEE Ultrasonics Symposium. vol. 2019-October.
- (2019) Ventriculo-arterial interaction may be assessed by Oscillatory Power Fraction. Clinical Physiology and Functional Imaging. vol. 39 (5).
- (2018) Ultrasound speckle reduction using generative adversial networks. Proceedings - IEEE Ultrasonics Symposium. vol. 2018-October:8579764.
- (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. vol. 2018-October.
- (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. vol. 2018-October.
- (2018) Fully automatic real-time ejection fraction and MAPSE measurements in 2D echocardiography using deep neural networks. Proceedings - IEEE Ultrasonics Symposium.
- (2018) 4-D Intracardiac Ultrasound Vector Flow Imaging-Feasibility and Comparison to Phase-Contrast MRI. IEEE Transactions on Medical Imaging. vol. 37 (12).
- (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 (LNCS). vol. 11045 LNCS.