1. Articles from Matthias Schlüter

    1-5 of 5
    1. Deep learning with 4D spatio-temporal data representations for OCT-based force estimation

      Deep learning with 4D spatio-temporal data representations for OCT-based force estimation

      Estimating the forces acting between instruments and tissue is a challenging problem for robot-assisted minimally-invasive surgery. Recently, numerous vision-based methods have been proposed to replace electro-mechanical approaches. Moreover, optical coherence tomography (OCT) and deep learning have been used for estimating forces based on deformation observed in volumetric image data. The method demonstrated the advantage of deep learning with 3D volumetric data over 2D depth images for force estimation. In this work, we extend the problem of deep learning-based force estimation to 4D spatio-temporal data with streams of 3D OCT volumes. For this purpose, we design and evaluate several methods extending ...

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    2. Spatio-temporal deep learning methods for motion estimation using 4D OCT image data

      Spatio-temporal deep learning methods for motion estimation using 4D OCT image data

      Purpose Localizing structures and estimating the motion of a specific target region are common problems for navigation during surgical interventions. Optical coherence tomography (OCT) is an imaging modality with a high spatial and temporal resolution that has been used for intraoperative imaging and also for motion estimation, for example, in the context of ophthalmic surgery or cochleostomy. Recently, motion estimation between a template and a moving OCT image has been studied with deep learning methods to overcome the shortcomings of conventional, feature-based methods. Methods We investigate whether using a temporal stream of OCT image volumes can improve deep learning-based motion ...

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    3. In-Vitro MPI-guided IVOCT catheter tracking in real time for motion artifact compensation

      In-Vitro MPI-guided IVOCT catheter tracking in real time for motion artifact compensation

      Purpose Using 4D magnetic particle imaging (MPI), intravascular optical coherence tomography (IVOCT) catheters are tracked in real time in order to compensate for image artifacts related to relative motion. Our approach demonstrates the feasibility for bimodal IVOCT and MPI in-vitro experiments. Material and methods During IVOCT imaging of a stenosis phantom the catheter is tracked using MPI. A 4D trajectory of the catheter tip is determined from the MPI data using center of mass sub-voxel strategies. A custom built IVOCT imaging adapter is used to perform different catheter motion profiles: no motion artifacts, motion artifacts due to catheter bending, and ...

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      Mentions: Thorlabs
    4. A Deep Learning Approach for Pose Estimation from Volumetric OCT Data

      A Deep Learning Approach for Pose Estimation from Volumetric OCT Data

      Tracking the pose of instruments is a central problem in image-guided surgery. For microscopic scenarios, optical coherence tomography (OCT) is increasingly used as an imaging modality. OCT is suitable for accurate pose estimation due to its micrometer range resolution and volumetric field of view. However, OCT image processing is challenging due to speckle noise and reflection artifacts in addition to the images’ 3D nature. We address pose estimation from OCT volume data with a new deep learning-based tracking framework. For this purpose, we design a new 3D convolutional neural network (CNN) architecture to directly predict the 6D pose of a ...

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    5. An Approach for Needle Based Optical Coherence Elastography Measurements

      An Approach for Needle Based Optical Coherence Elastography Measurements

      While navigation and interventional guidance are typically based on image data, the images do not necessarily reflect mechanical tissue properties. Optical coherence elastography (OCE) presents a modality with high sensitivity and very high spatial and temporal resolution. However, OCE has a limited field of view of only 2–5 mm depth. We present a side-facing needle probe to image externally induced shear waves from within soft tissue. A first method of quantitative needle-based OCE is provided. Using a time of flight setup, we establish the shear wave velocity and estimate the tissue elasticity. For comparison, an external scan head is ...

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    1-5 of 5
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  2. Topics in the News

    1. (1 articles) University of Lübeck
    2. (1 articles) Gereon Hüttmann
    3. (1 articles) Thorlabs
    4. (1 articles) Technical University of Denmark (DTU)
    5. (1 articles) Columbia University
    6. (1 articles) Peking University
    7. (1 articles) Capital Medical University
    8. (1 articles) Cardiovascular Research Foundation
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    An Approach for Needle Based Optical Coherence Elastography Measurements A Deep Learning Approach for Pose Estimation from Volumetric OCT Data In-Vitro MPI-guided IVOCT catheter tracking in real time for motion artifact compensation Spatio-temporal deep learning methods for motion estimation using 4D OCT image data Deep learning with 4D spatio-temporal data representations for OCT-based force estimation A case report of a coronary myocardial bridge with impaired full-cycle ratio during dobutamine challenge Diagnosis of chronic stage of hypertensive retinopathy based on spectral domain optical coherence tomography A Cross-sectional Optical Coherence Tomography Study in Patients on Taxane-based Therapy and A Case Report with the Literature Review Determination of peripapillary vessel density in optic disc drusen using EDI-OCT and OCT angiography Optical coherence tomography features of neovascularization in proliferative diabetic retinopathy: a systematic review Retinal microvascular metrics in untreated essential hypertensives using optical coherence tomography angiography Optical coherence tomography angiography findings of fellow eye of proliferative macular telangiectasia type 2: Long term study