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Robotic Optical Coherence Tomography of Human Subjects with Posture-Invariant Head and Eye Alignment in Six Degrees of Freedom.
Draelos, Mark; Ortiz, Pablo; Narawane, Amit; McNabb, Ryan P; Kuo, Anthony N; Izatt, Joseph A.
Afiliação
  • Draelos M; Departments of Robotics and Ophthalmology, University of Michigan, 2505 Hayward St, Ann Arbor, MI USA.
  • Ortiz P; Department of Biomedical Engineering, Duke University, 101 Science Dr, Durham, NC USA.
  • Narawane A; Department of Biomedical Engineering, Duke University, 101 Science Dr, Durham, NC USA.
  • McNabb RP; Department of Ophthalmology, Duke University Medical Center, 2351 Erwin Rd, Durham, NC USA.
  • Kuo AN; Department of Ophthalmology, Duke University Medical Center, 2351 Erwin Rd, Durham, NC USA.
  • Izatt JA; Department of Biomedical Engineering, Duke University, 101 Science Dr, Durham, NC USA.
Int Symp Med Robot ; 20232023 Apr.
Article em En | MEDLINE | ID: mdl-39092148
ABSTRACT
Ophthalmic optical coherence tomography (OCT) has achieved remarkable clinical success but remains sequestered in ophthalmology specialty offices. Recently introduced robotic OCT systems seek to expand patient access but fall short of their full potential due to significant imaging workspace and motion planning restrictions. Here, we present a next-generation robotic OCT system capable of imaging in any head orientation or posture that is mechanically reachable. This system overcomes prior restrictions by eliminating fixed-base tracking components, extending robot reach, and planning alignment in six degrees of freedom. With this robotic system, we show repeatable subject imaging independent of posture (standing, seated, reclined, and supine) under widely varying head orientations for multiple human subjects. For each subject, we obtained a consistent view of the retina, including the fovea, retinal vasculature, and edge of the optic nerve head. We believe this robotic approach can extend OCT as an eye disease screening, diagnosis, and monitoring tool to previously unreached patient populations.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Int Symp Med Robot Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Int Symp Med Robot Ano de publicação: 2023 Tipo de documento: Article