1. Articles from Matthias Lutz

    1-4 of 4
    1. 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
    2. Mechanical performance and healing patterns of the novel sirolimus-eluting bioresorbable Fantom scaffold: 6-month and 9-month follow-up by optical coherence tomography in the FANTOM II study

      Mechanical performance and healing patterns of the novel sirolimus-eluting bioresorbable Fantom scaffold: 6-month and 9-month follow-up by optical coherence tomography in the FANTOM II study

      Objectives We aimed to evaluate the mechanical properties and healing patterns 6 and 9 months after implantation of the sirolimus-eluting Fantom bioresorbable scaffold (BRS). Background The Fantom BRS (Reva Medical, San Diego, USA) has differentiating properties including radiopacity, strut thickness of 125 µm, high expansion capacity and has demonstrated favourable mid-term clinical and angiographic outcomes. Methods and results FANTOM II was a prospective, single arm study with implantation of the Fantom BRS in 240 patients with stable angina pectoris. Guidance by optical coherence tomography (OCT) was encouraged and was repeated at 6-month (cohort A) or 9-month follow-up (cohort B). Matched ...

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    3. Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks

      Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks

      Coronary heart disease is a common cause of death despite being preventable. To treat the underlying plaque deposits in the arterial walls, intravascular optical coherence tomography can be used by experts to detect and characterize the lesions. In clinical routine, hundreds of images are acquired for each patient, which require automatic plaque detection for fast and accurate decision support. So far, automatic approaches rely on classic machine learning methods and deep learning solutions have rarely been studied. Given the success of deep learning methods with other imaging modalities, a thorough understanding of deep learning-based plaque detection for future clinical decision ...

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    4. Development of a new catheter prototype for laser thrombolysis under guidance of optical coherence tomography (OCT): validation of feasibility and efficacy in a preclinical model

      Development of a new catheter prototype for laser thrombolysis under guidance of optical coherence tomography (OCT): validation of feasibility and efficacy in a preclinical model

      In this feasibility study, a novel catheter prototype for laser thrombolysis under the guidance of optical coherence tomography (OCT) was designed and evaluated in a preclinical model. Human arteries and veins were integrated into a physiological flow model and occluded with thrombi made from the Chandler Loop. There were four experimental groups: placebo, 20 mg alteplase, laser, 20 mg alteplase + laser. The extent of thrombolysis was analyzed by weighing, OCT imaging and relative thrombus size. In the alteplase group, thrombus size decreased to 0.250 ± 0.036 g (p < 0.0001) and 14.495 ± 0.526 mm 2 (p < 0 ...

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    1-4 of 4
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  2. Topics in the News

    1. (1 articles) Aarhus University
    2. (1 articles) Leiden University
    3. (1 articles) Erasmus University
    4. (1 articles) Jouke Dijkstra
    5. (1 articles) Dariusz Dudek
    6. (1 articles) Bernard Chevalier
    7. (1 articles) Thorlabs
    8. (1 articles) Universidade Federal de São Paulo
    9. (1 articles) Northwestern University
    10. (1 articles) Dresden University of Technology
    11. (1 articles) University of Freiburg
    12. (1 articles) Francesco Prati
    13. (1 articles) Joon Mo Kim
    14. (1 articles) Edmund Koch
    15. (1 articles) Lars Kirsten
    16. (1 articles) Topcon Medical Systems
    17. (1 articles) Carl Zeiss Meditec
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    Development of a new catheter prototype for laser thrombolysis under guidance of optical coherence tomography (OCT): validation of feasibility and efficacy in a preclinical model Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks Mechanical performance and healing patterns of the novel sirolimus-eluting bioresorbable Fantom scaffold: 6-month and 9-month follow-up by optical coherence tomography in the FANTOM II study In-Vitro MPI-guided IVOCT catheter tracking in real time for motion artifact compensation Medical treatment of inflammatory punctual stenosis monitored by anterior segment optical coherence tomography Development and Validation of a Deep Learning System for Diagnosing Glaucoma Using Optical Coherence Tomography Methylene blue-filled biodegradable polymer particles as a contrast agent for optical coherence tomography Optical coherence tomography for thyroid pathology: 3D analysis of tissue microstructure Mathematical Analysis of Texture Indicators for the Segmentation of Optical Coherence Tomography Images Comparison of Current Optical Coherence Tomography Angiography Methods in Imaging Retinal Hemangioblastomas New findings useful for clinical practice using swept-source optical coherence tomography angiography in the follow-up of active ocular toxoplasmosis Comparison of two measurements for the lower lid margin thickness: vernier micrometer and anterior segment optical coherence tomography