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Lennart Husvogt, M. Sc.

Researcher

Department of Computer Science
Chair of Computer Science 5 (Pattern Recognition)

Room: Room 09.155
Martensstraße 3
91058 Erlangen

  • Since 05/2014:
    Researcher at the Pattern Recognition Lab
  • 10/2016 – 10/2018
    Research Affiliate at the Biomedical Optical Imaging and Biophotonics Group at MIT
  • 10/2016 – 10/2018
    Research Assistant at the New England Eye Center at Tufts Medical Center
  • 10/2016 – 10/2018
    Graduate Research Assistant at the Pattern Recognition Lab
  • 08/2014 – 08/2018
    Visiting Student at the Biomedical Optical Imaging and Biophotonics Group at MIT

2017

  • Joint Iterative Reconstruction and Motion Compensation for Optical Coherence Tomography
    Angiography

    (Third Party Funds Single)

    Term: since July 24, 2017
    Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)

    Optical coherence tomography (OCT) is a non-invasive 3-D optical imagingmodality that is a standard of care in ophthalmology [1,2]. Since the introduction of Fourier-domain OCT [3], dramatic increases in imaging speedbecame possible, enabling 3-D volumetric data to be acquired. Typically, aregion of the retina is scanned line by line, where each scanned lineacquires a cross-sectional image or a B-scan. Since B-scans are acquiredin milliseconds, slices extracted along a scan line, or the fast scanaxis, are barely affected by motion. In contrast, slices extractedorthogonally to scan lines, i. e. in slow scan direction, areaffected by various types of eye motion occurring throughout the full,multi-second volume acquisition time. The most relevant types of eyemovements during acquisition are (micro-)saccades, which can introducediscontinuities or gaps between B-scans, and slow drifts, which causesmall, slowly changing distortion [4]. Additional eye motion is caused by pulsatile blood flow,respiration and head motion. Despite ongoing advances in instrumentscanning speed [5,6] typical volume acquisition times havenot decreased. Instead, the additional scanning speed is used for densevolumetric scanning or wider fields of view [7]. OCT angiography (OCTA) [811] multiplies therequired number of scans by at least two, and even more scans are neededto accommodate recent developments in blood flow speed estimation whichare based on multiple interscan times [12,13]. As a consequence,there is an ongoing need for improvement in motion compensation especiallyin pathology [1416].

    We develop novel methods for retrospective motion correction of OCT volume scans of the anterior and posterior eye, and widefield imaging. Our algorithms are clinically usable due to their suitability for patients with limited fixation capabilities and increased amount of motion, due to their fast processing speed, and their high accuracy, both in terms of alignment and motion correction. By merging multiple accurately aligned scans, image quality can be increased substantially, enabling the inspection of novel features.

2021

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2020

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2019

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2018

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2017

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2016

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Conference Contributions