Draelos, Mark | Scholars@Duke

Mark Draelos
Affiliate

My research focuses on new technologies for computer-assisted surgery guided by three-dimensional imaging. Current projects include intuitive teleoperation of surgical robots from arbitrary viewpoints, virtual reality, robot-enabled cornea transplantation, and automatic eye imaging. In the long term, I aspire to advance the development of medical technology in robotics and imaging.

Current Appointments & Affiliations

Affiliate, Biomedical Engineering, Pratt School of Engineering
Affiliate, Surgery, Clinical Science Departments

Contact Information

Expertise
Subject Headings
Research
Selected Grants
- Robotic Point-of-Care OCT awarded by National Institutes of Health 2022 - 2024
- Arbitrary Viewpoint Robotic Surgery awarded by National Institutes of Health 2016 - 2019
Fellowships, Supported Research, & Other Grants
- NRSA F30 awarded by National Institutes of Health 2016 - 2019
External Relationships
- Horizon Surgical Inc
Publications & Artistic Works
Selected Publications
- Academic Articles
  - Draelos, M., et al. “Adaptive point-scan imaging beyond the frame rate–resolution limit with scene-reactive scan trajectories.” Optica, vol. 9, no. 11, Nov. 2022, pp. 1276–88. Scopus, doi:10.1364/OPTICA.472562.
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  - Tian, Yuan, et al. “Optical coherence tomography refraction and optical path length correction for image-guided corneal surgery.” Biomed Opt Express, vol. 13, no. 9, Sept. 2022, pp. 5035–49. Pubmed, doi:10.1364/BOE.464762.
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  - Edwards, W., et al. “Data-Driven Modelling and Control for Robot Needle Insertion in Deep Anterior Lamellar Keratoplasty.” Ieee Robotics and Automation Letters, vol. 7, no. 2, Apr. 2022, pp. 1526–33. Scopus, doi:10.1109/LRA.2022.3140458.
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  - Draelos, Mark, et al. “Contactless optical coherence tomography of the eyes of freestanding individuals with a robotic scanner.” Nat Biomed Eng, vol. 5, no. 7, July 2021, pp. 726–36. Pubmed, doi:10.1038/s41551-021-00753-6.
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  - Keller, Brenton, et al. “Optical Coherence Tomography-Guided Robotic Ophthalmic Microsurgery via Reinforcement Learning from Demonstration.” Ieee Trans Robot, vol. 36, no. 4, Aug. 2020, pp. 1207–18. Pubmed, doi:10.1109/TRO.2020.2980158.
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  - Draelos, Mark, et al. “Optical Coherence Tomography Guided Robotic Needle Insertion for Deep Anterior Lamellar Keratoplasty.” Ieee Trans Biomed Eng, vol. 67, no. 7, July 2020, pp. 2073–83. Pubmed, doi:10.1109/TBME.2019.2954505.
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  - Draelos, Mark, et al. “Optical Coherence Tomography Guided Robotic Needle Insertion for Deep Anterior Lamellar Keratoplasty.” Ieee Trans. Biomed. Eng., vol. 67, 2020, pp. 2073–83. Dblp, doi:10.1109/TBME.2019.2954505.
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  - Draelos, Mark, et al. “Real-time visualization and interaction with static and live optical coherence tomography volumes in immersive virtual reality.” Biomed Opt Express, vol. 9, no. 6, June 2018, pp. 2825–43. Pubmed, doi:10.1364/BOE.9.002825.
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  - Keller, Brenton, et al. “Real-time corneal segmentation and 3D needle tracking in intrasurgical OCT.” Biomed Opt Express, vol. 9, no. 6, June 2018, pp. 2716–32. Pubmed, doi:10.1364/BOE.9.002716.
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  - Carrasco-Zevallos, Oscar M., et al. “Review of intraoperative optical coherence tomography: technology and applications [Invited].” Biomedical Optics Express, vol. 8, no. 3, Mar. 2017, pp. 1607–37. Epmc, doi:10.1364/boe.8.001607.
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  - Deshpande, N., et al. “Autonomous navigation using received signal strength and bearing-only pseudogradient interpolation.” Robotics and Autonomous Systems, vol. 75, North-Holland, 2016, pp. 129–44.
  - Qiu, Qiang, et al. “Low-cost Gaze and Pulse Analysis using RealSense.” Eai Endorsed Trans. Ambient Syst., vol. 3, 2016, pp. e1–e1. Dblp, doi:10.4108/eai.14-10-2015.2261657.
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- Conference Papers
  - McNabb, Ryan P., et al. “Robotically aligned OCT enables physically distanced imaging and relevant measurements in a retina clinic population.” Investigative Ophthalmology & Visual Science, vol. 62, no. 8, 2021.
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  - Ortiz, Pablo, et al. “Autofocusing and Autoaligning Robotic Optical Coherence Tomography.” Investigative Ophthalmology & Visual Science, vol. 62, no. 8, 2021.
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  - Song, Ailin, et al. Combining artificial intelligence and robotics: a semi-automated optical coherence tomography-based approach for posterior eye disease screening. Vol. 62, Invest. Ophthalmol. Vis. Sci., 2021, pp. 120–120.
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  - Tian, Yuan, et al. “Toward Autonomous Robotic Micro-Suturing using Optical Coherence Tomography Calibration and Path Planning.” Icra, IEEE, 2020, pp. 5516–22.
  - McNabb, Ryan P., et al. “Robotically Aligned OCT Imaging with Clinically Relevant Fields of View on the Retina.” Investigative Ophthalmology & Visual Science, vol. 61, no. 7, 2020.
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  - Draelos, M., et al. “Automatic optical coherence tomography imaging of stationary and moving eyes with a robotically-aligned scanner.” Proceedings Ieee International Conference on Robotics and Automation, vol. 2019-May, 2019, pp. 8897–903. Scopus, doi:10.1109/ICRA.2019.8793524.
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  - Draelos, M., et al. “Real-Time Image-Guided Cooperative Robotic Assist Device for Deep Anterior Lamellar Keratoplasty.” Proceedings Ieee International Conference on Robotics and Automation, 2018, pp. 4013–18. Scopus, doi:10.1109/ICRA.2018.8463153.
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  - Draelos, Mark, et al. “OCT-Guided Cooperative Robotic Deep Anterior Lamellar Keratoplasty.” Investigative Ophthalmology & Visual Science, vol. 59, no. 9, ASSOC RESEARCH VISION OPHTHALMOLOGY INC, 2018.
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  - Keller, Brenton, et al. “Real- time Corneal Segmentation and 3D Needle Tracking in Intrasurgical OCT.” Investigative Ophthalmology & Visual Science, vol. 59, no. 9, ASSOC RESEARCH VISION OPHTHALMOLOGY INC, 2018.
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  - Draelos, Mark, et al. “Real-Time Image-Guided Cooperative Robotic Assist Device for Deep Anterior Lamellar Keratoplasty.” Icra, IEEE, 2018, pp. 1–9.
  - Draelos, M., et al. “Teleoperating robots from arbitrary viewpoints in surgical contexts.” Ieee International Conference on Intelligent Robots and Systems, vol. 2017-September, 2017, pp. 2549–55. Scopus, doi:10.1109/IROS.2017.8206076.
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  - Draelos, Mark, et al. “Immersive Virtual Reality for Live Volumetric Optical Coherence Tomography.” Investigative Ophthalmology & Visual Science, vol. 58, no. 8, ASSOC RESEARCH VISION OPHTHALMOLOGY INC, 2017.
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  - Draelos, M., et al. “Intel realsense= real low cost gaze.” Image Processing (Icip), 2015 Ieee International Conference On, IEEE, 2015, pp. 2520–24.
  - Qiu, Q., et al. “Low-cost Gaze and Pulse Analysis using RealSense.” Proceedings of the 5th Eai International Conference on Wireless Mobile Communication and Healthcare, ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), 2015, pp. 276–79.
  - Deshpande, N., et al. “Received signal strength based bearing-only robot navigation in a sensor network field.” 2014 Ieee/Rsj International Conference on Intelligent Robots and Systems, IEEE, 2014, pp. 4618–23.
  - Draelos, M., et al. “The Kinect up close: Adaptations for short-range imaging.” Multisensor Fusion and Integration for Intelligent Systems (Mfi), 2012 Ieee Conference On, IEEE, 2012, pp. 251–56.
  - Henderson, T. C., et al. “Symmetry as a basis for perceptual fusion.” Multisensor Fusion and Integration for Intelligent Systems (Mfi), 2012 Ieee Conference On, IEEE, 2012, pp. 101–07.
  - Giallo II, J. F., et al. Design and Validation of a Medical Robotic System for Laser Phonomicrosurgery.

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Subject Headings

Selected Grants

Fellowships, Supported Research, & Other Grants

External Relationships

Selected Publications

Academic Articles

Conference Papers