Liquid optical interface for laser eye surgery system
US-9987165-B2 · Jun 5, 2018 · US
US10195085B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10195085-B2 |
| Application number | US-201514885907-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 16, 2015 |
| Priority date | Oct 17, 2014 |
| Publication date | Feb 5, 2019 |
| Grant date | Feb 5, 2019 |
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A laser eye surgery system that has a patient interface between the eye and the laser system relying on suction to hold the interface to the eye. The patient interface may be a liquid-filled interface, with liquid used as a transmission medium for the laser. During a laser procedure various inputs are monitored to detect a leak. The inputs may include a video feed of the eye looking for air bubbles in the liquid medium, the force sensors on the patient interface that detect patient movement, and vacuum sensors directly sensing the level of suction between the patient interface and the eye. The method may include combining three monitoring activities with a Bayesian algorithm that computes the probabilities of an imminent vacuum loss event.
Opening claim text (preview).
What is claimed is: 1. A method of detecting loss of vacuum in a patient interface of a laser eye surgery system having control electronics, comprising: docking a patient's eye to a suction ring of the patient interface which is aligned with an optical axis of the laser eye surgery system; monitoring a plurality of inputs associated with the docking, comprising: a first input comprising a video feed of the laser eye surgery through the patient interface; a second input comprising a physical force sensor that detects movement of the patient's eye relative to the patient interface; and a third input comprising a vacuum sensor connected to a vacuum chamber of the suction ring; and halting or delaying the laser eye surgery if an aggregate of the first, second, and third inputs is consistent with a threshold likelihood of a suction break. 2. The method of claim 1 , wherein the three inputs are aggregated using a Bayesian algorithm. 3. The method of claim 1 , including monitoring the video feed of the laser eye surgery for formation of a vacuum leak bubble. 4. The method of claim 3 , wherein the video feed of the laser eye surgery is divided into sectors and the method includes monitoring each sector for a change in pixel values indicating the formation of the vacuum leak bubble. 5. The method of claim 1 , wherein the physical force sensor detects movement of the patient's eye relative to the patient interface transverse to the optical axis. 6. The method of claim 1 , wherein there are at least three force transducers that each sense the magnitude and direction of forces between the patient's eye and the patient interface, the method including sending data from the force transducers to the control electronics of the system and using a force differential between the transducers to calculate an aggregate force between the patient interface and the patient's eye in the X, Y, and Z directions. 7. The method of claim 1 , wherein the vacuum sensor is fluidly connected to the vacuum chamber via a fluid line without any vacuum line components in between for rapid pressure response times. 8. The method of claim 7 , further including a pressure sensor in the fluid line downstream of a point at which the vacuum sensor connects to the fluid line, wherein a fluid collector and a fluid stop are provided in the fluid line upstream of the pressure sensor, and wherein the method aggregates data output from the pressure sensor as well. 9. The method of claim 8 , further including a second pressure sensor in a second fluid line fluidly connected to a second vacuum chamber between two components of the patient interface, wherein a fluid collector and a fluid stop are provided in the second fluid line upstream of the second pressure sensor, and wherein the method aggregates data output from the second pressure sensor as well. 10. The method of claim 1 , wherein the control electronics of the laser eye surgery system monitors the progress of the surgery and, if the threshold likelihood of suction break is reached, determines whether the laser eye surgery should be halted or not depending on a current operating state.
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