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Content Provider | IEEE Xplore Digital Library |
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Author | Horise, Y. Xingchi He Gehlbach, P. Taylor, R. Iordachita, I. |
Copyright Year | 2015 |
Description | Author affiliation: CISST ERC at Johns Hopkins Univ., Baltimore, MD, USA (Horise, Y.; Xingchi He; Taylor, R.; Iordachita, I.) || Wilmer Eye Inst., Sch. of Med., Johns Hopkins Univ., Baltimore, MD, USA (Gehlbach, P.) |
Abstract | In retinal surgery, microsurgical instruments such as micro forceps, scissors and picks are inserted through the eye wall via sclerotomies. A handheld intraocular light source is typically used to visualize the tools during the procedure. Retinal surgery requires precise and stable tool maneuvers as the surgical targets are micro scale, fragile and critical to function. Retinal surgeons typically control an active surgical tool with one hand and an illumination source with the other. In this paper, we present a “smart” light pipe that enables true bimanual surgery via utilization of an active, robot-assisted source of targeted illumination. The novel sensorized smart light pipe measures the contact force between the sclerotomy and its own shaft, thereby accommodating the motion of the patient's eye. Forces at the point of contact with the sclera are detected by fiber Bragg grating (FBG) sensors on the light pipe. Our calibration and validation results demonstrate reliable measurement of the contact force as well as location of the sclerotomy. Preliminary experiments have been conducted to functionally evaluate robotic intraocular illumination. |
Starting Page | 13 |
Ending Page | 16 |
File Size | 1390419 |
Page Count | 4 |
File Format | |
ISSN | 1557170X |
e-ISBN | 9781424492718 |
DOI | 10.1109/EMBC.2015.7318249 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2015-08-25 |
Publisher Place | Italy |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Surgery Force Retina Lighting Robot sensing systems |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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