Method and system for eye measurements and cataract surgery planning using vector function derived from prior surgeries

Patent metadata

Field	Value
Publication number	US-2016150952-A1
Application number	US-201514949783-A
Country	US
Kind code	A1
Filing date	Nov 23, 2015
Priority date	Dec 30, 2010
Publication date	Jun 2, 2016
Grant date	—

Abstract

Improved devices, systems, and methods for planning cataract surgery on an eye of a patient incorporate results of prior corrective surgeries into a planned cataract surgery of a particular patient by driving an effective surgery vector function based on data from the prior corrective surgeries. The exemplary effective surgery vector employs an influence matrix which may allow improved refractive corrections to be generated so as to increase the overall efficacy of a cataract surgery by specifying one or more parameters of an intraocular lens (IOL) to be implanted during the cataract surgery.

First claim

What is claimed is:

1 . A system for planning a cataract surgery on an eye of a patient, the system comprising:
an input for receiving pre-surgery high-order aberrations of the eye of the patient; a processor coupled to the input, the processor deriving one or more parameters of an intraocular lens (IOL) to be implanted into the eye of the patient in response to the high-order aberrations of the eye of the patient by applying an effective surgery vector function, wherein the effective surgery vector function is derived from, for each of a plurality of prior corrective surgeries, a correlation between a pre-surgery vector characterizing high-order aberrations of the associated eye before surgery, and a post-surgery vector characterizing post-surgery high-order aberrations of the associated eye; and an output coupled to the processor so as to transmit the one or more parameters of the IOL to be implanted into the eye of the patient.

2 . The system of claim 1 , wherein the processor comprises tangible media embodying machine readable instructions for implementing the derivation of the one or more parameters of the IOL to be implanted into the eye of the patient.

3 . The system of claim 1 , wherein the processor is configured to generate an input vector for the eye of the patient in response to a target refraction of the eye of the patient to be induced by the cataract surgery by determining an intended refractive correction (IRC) characterizing a difference between measured pre-surgery aberrations of the eye of the patient and the target.

4 . The system of claim 3 , further comprising an aberrometer coupled to the input, the aberrometer sensing the high-order aberrations of an eye and transmitting the high-order aberrations to the processor.

5 . The system of claim 4 , wherein the processor is configured to derive the effective surgery vector function from prior corrective surgeries in response to intended refractive correction vectors (IRCs) of the associated eyes and to determine surgically induced refractive correction vectors (SIRCs) of the associated eyes, each SIRC characterizing a difference between the measured pre-surgery aberrations and the post-surgery aberrations of an associated eye.

6 . The system of claim of claim 1 , wherein the effective surgery vector function is based on an influence matrix ƒ relating the SIRCs to the IRCs.

7 . The system of claim 6 , wherein ƒ relates the SIRCs to the IRCs such that for the associated eyes:
{right arrow over ( E )}={right arrow over (SIRC)}− ƒ ·{right arrow over (IRC)},

in which {right arrow over (E)} is an error vector; and
wherein the applying the effective surgery vector function to the input vector comprises calculating an adjusted intended refractive correction vector (AIRC), and wherein
{right arrow over (AIRC)}= ƒ −1 ·{right arrow over (IRC)}′

in which ƒ −1 is an inverse of f and in which IRC′ is based on the IRC of the eye of the patient.

8 . The system of claim 3 , further comprising an additional input coupled to the processor for receiving at least one adjustment selected from the group consisting of:
physician adjustments to the IRC; and nomogram adjustments to the IRC; wherein the processor is configured to define an IRC′ for the eye of the patient by applying, to the IRC of the eye of the patient, the at least one adjustment, the input vector being based on the IRC′.

9 . The system of claim 1 , wherein the effective surgery vector function is based on an influence matrix.

10 . The system of claim 9 , wherein the planned cataract surgery on the eye of the patient comprises a planned surgery vector, and wherein a plurality of the elements of the input vector each alter a plurality of elements of the planned surgery vector, and/or wherein a plurality of the planned surgery vector elements are each altered by a plurality of elements of the input vector.

11 . The system of claim 9 , wherein the input vector comprises refractive elements characterizing refraction of the eye of the patient, non-refractive cofactors characterizing the patient and/or the treatment setting, and high-order elements characterizing the high-order aberrations of the eye.

12 . The system of claim 9 , wherein the processor is configured to derive the one or more parameters of the IOL to be implanted into the eye of the patient by multiplying the influence matrix of the effective surgery vector function by the input vector.

13 . A system for planning cataract surgery on an eye of a patient, the system comprising:
a processor having:
an input for receiving data regarding a plurality of prior corrective surgeries and for deriving an influence matrix therefrom by, for each prior corrective surgery of an associated eye:
determining an intended refractive correction vector (IRC) characterizing a difference between measured pre-surgery high-order aberrations of the associated eye and a target refraction of the associated eye, and
determining a surgically induced refractive correction vector (SIRC) of the associated eye characterizing a difference between the measured pre-surgery aberrations and measured post-surgery aberrations of the associated eye, wherein the influence matrix comprises a correlation between the IRCs and the SIRCs, and

another input for receiving a patient IRC vector characterizing a difference between measured pre-surgery high-order aberrations of the eye of the patient and a target refraction of the eye of the patient; and
an output coupled to the processor for transmitting a one or more parameters of an intraocular lens (IOL) to be implanted into the eye of the patient in the cataract surgery on the eye of the patient, the processor configured to derive one or more parameters of the IOL to be implanted into the eye of the patient by adjusting the patient IRC vector based on the influence matrix.

14 . The system of claim 13 , wherein the one or more parameters of the IOL to be implanted into the eye of the patient include a power of the IOL and a location within the eye of the patient where the IOL is to be located.

15 . A system for planning a cataract surgery on an eye of a patient, an influence matrix having been derived from a plurality of prior corrective surgeries by, for each prior corrective surgery on an associated eye, determining a target refraction of the associated eye, determining an intended refractive correction vector (IRC) characterizing a difference between measured pre-surgery high-order aberrations of the associated eye and the target, and determining a surgically induced refractive correction vector (SIRC) of the associated eye characterizing a difference between the measured pre-surgery aberrations and measured post-surgery aberrations of the associated eye, the influence matrix derived so as to provide a correlation between the IRCs and the SIRCs, the system comprising:
an input for receiving a patient IRC vector characterizing a difference between measured pre-surgery high-order aberrations of the eye of the patient and a target refraction of the eye of the patient; and a processor coupled to the input, the processor configured for adjusting the patient IRC vector based on the influence matrix.

Assignees

• Amo Wavefront Sciences Llc

Inventors

• Raymond Thomas D
• Neal Daniel R
• Copland Richard J
• Xiong Wei
• Pulaski Paul
• Farrer Stephen W
• Canovas Carmen
• Hamrick Daniel R

Classifications

• A61B3/0025 Primary

  characterised by electronic signal processing, e.g. eye models · CPC title

• A61F2009/00872

  Cornea · CPC title

• A61F2009/00859

  considering nomograms · CPC title

• A61F2009/00887

  Cataract · CPC title

• A61F2009/00857

  considering biodynamics · CPC title