Abstract: A method for calculating the power of an intraocular lens including measuring an axial separation between the front surface of the cornea and the plane of the iris root; and determining the power of the intraocular lens using the measured axial separation together with other measured parameters and empirically determined lens constants.

Abstract: An improved workflow for acquiring image data of the eye of a patient is described. The workflow can be used with any ophthalmic diagnostic devices including an Optical Coherence Tomography (OCT) device. This workflow is referred herein as a report driven workflow. Under the report driven workflow, a plurality of report options are presented to the device operator. These report options are selectable to generate a report summarizing analysis relating to a specific pathology or region of the eye. A desired report option is selected by the device operator. Based on the selected report option, one or more scan types are automatically selected by the device software. Image data corresponding to the one or more scan types are captured using the ophthalmic diagnostic device. An analysis for the selected desired report option is generated based on the captured image data and is then presented to the device operator.

Abstract: A method for calculating the power of an intraocular lens including measuring an axial separation between the front surface of the cornea and the plane of the iris root; and determining the power of the intraocular lens using the measured axial separation together with other measured parameters and empirically determined lens constants.

Abstract: For the pre-operative calculation of the power of an intraocular lens, three input parameters are needed: the axial length of the eye (AL), the refractive power of the cornea, and the distance between the front of the cornea and the back focal plane of the intraocular lens, the so-called effective lens position (ELP). The invention shows a novel approach to the determination of the ELP.

Abstract: For the pre-operative calculation of the power of an intraocular lens, three input parameters are needed: the axial length of the eye (AL), the refractive power of the cornea, and the distance between the front of the cornea and the back focal plane of the intraocular lens, the so-called effective lens position (ELP).

Abstract: For the pre-operative calculation of the power of an intraocular lens, three input parameters are needed: the axial length of the eye (AL), the refractive power of the cornea, and the distance between the front of the cornea and the back focal plane of the intraocular lens, the so-called effective lens position (ELP). The invention shows a novel approach to the determination of the ELP.

Abstract: For the pre-operative calculation of the power of an intraocular lens, three input parameters are needed: the axial length of the eye (AL), the refractive power of the cornea, and the distance between the front of the cornea and the back focal plane of the intraocular lens, the so-called effective lens position (ELP). The invention shows a novel approach to the determination of the ELP.

Abstract: A method and apparatus for imaging within the eye is provided whereby a component of eye position is detected using optical imaging data. Tracking eye position over time and correctly registering imaging data for scan locations or using eye position to detect decentration achieves improved imaging. In one embodiment, essentially perpendicular B-scans are imaged sequentially and the corneal arc within each B-scan is analyzed to determine the vertex of the eye. The eye vertex is tracked over pairs of perpendicular B-scans to determine eye motion. In another embodiment, the decentration in the Pachymetry map is removed by correcting for the misalignment of the center of the Pachymetry map and the actual location of the corneal vertex.

Abstract: The disclosed system identifies the images of particular objects or organisms (“segmented image” or “target image”) from images that include the segmented image and the surrounding area (collectively, the “ambient image”). Instead of attempting to merely segment the target image from the ambient image, the system purposely “over-segments” the ambient image into various image regions. Those image regions are then selectively combined into the segmented image using a predefined heuristic that incorporates logic relating to the particular context of the processed image. In some embodiments, different combinations of image regions are evaluated on the basis of probability-weighted classifications.

Abstract: A method and apparatus for imaging within the eye is provided whereby a component of eye position is detected using optical imaging data. Tracking eye position over time and correctly registering imaging data for scan locations or using eye position to detect decentration achieves improved imaging. In one embodiment, essentially perpendicular B-scans are imaged sequentially and the corneal arc within each B-scan is analyzed to determine the vertex of the eye. The eye vertex is tracked over pairs of perpendicular B-scans to determine eye motion. In another embodiment, the decentration in the Pachymetry map is removed by correcting for the misalignment of the center of the Pachymetry map and the actual location of the corneal vertex.

Abstract: Methods and systems for measuring mechanical property of a vascular wall and a method and system for determining health of a vascular structure are provided wherein local deformation of a vessel wall resulting from physiologic pressures with altered transmural forces is measured. A non-invasive free-hand ultrasound scanning-procedure was performed to apply external force, comparable to the force generated in measuring a subject's blood pressure, to achieve higher strains by equalizing the internal arterial baseline pressure. When the applied pressure matched the internal baseline diastolic pressure, strain and strain rate increased by a factor of 10 over a cardiac cycle. Radial arterial strain was assessed in the vessel wall over the entire deformation procedure using a phase-sensitive, two-dimensional speckle-tracking algorithm. An elastic modulus reconstruction procedure was developed to estimate the non-linear elastic properties of the vascular wall.

Abstract: A system or method (collectively “classification system”) is disclosed for classifying sensor images into one of several pre-defined classifications. Mathematical moments relating to various features or attributes in the sensor image are used to populated a vector of attributes, which are then compared to a corresponding template vector of attribute values. The template vector contains values for known classifications which are preferably predefined. By comparing the two vectors, various votes and confidence metrics are used to ultimately select the appropriate classification. In some embodiments, preparation processing is performed before loading the attribute vector with values. Image segmentation is often desirable. The performance of heuristics to adjust for environmental factors such as lighting can also be desirable. One embodiment of the system is to prevent the deployment of an airbag when the occupant in the seat is a child, a rear-facing infant seat, or when the seat is empty.

Abstract: Methods and systems for measuring mechanical property of a vascular wall and a method and system for determining health of a vascular structure are provided wherein local deformation of a vessel wall resulting from physiologic pressures with altered transmural forces is measured. A non-invasive free-hand ultrasound scanning-procedure was performed to apply external force, comparable to the force generated in measuring a subject's blood pressure, to achieve higher strains by equalizing the internal arterial baseline pressure. When the applied pressure matched the internal baseline diastolic pressure, strain and strain rate increased by a factor of 10 over a cardiac cycle. Radial arterial strain was assessed in the vessel wall over the entire deformation procedure using a phase-sensitive, two-dimensional speckle-tracking algorithm. An elastic modulus reconstruction procedure was developed to estimate the non-linear elastic properties of the vascular wall.

Abstract: The disclosed segmentation method and system (collectively “system”) identifies a region-of-interest within an ambient image captured by a sensor. The ambient image includes the target image (the “segmented image” of the target), as well as the area surrounding the target. The disclosed system purposely “under-segments” the ambient image, and the process is typically followed by a subsequent segmentation process to remove the portions of the region-of-interest image that do not represent the segmented image. The system compares the ambient image captured by the sensor with a template ambient image without a target to assist in identifying the region-of-interest. They system performs a watershed heuristic to further remove portions of the ambient image from the region-of-interest. In a safety restraint embodiment of the system, the region-of-interest can be used by the safety restrain application to determine the classification of the vehicle occupant, and motion characteristics relating to the occupant.

Abstract: A segmentation system is disclosed that allows a segmented image of a vehicle occupant to be identified within an overall image (the “ambient image”) of the area that includes the image of the occupant. The segmented image from a past sensor measurement within can help determine a region of interest within the most recently captured ambient image. To further reduce processing time, the system can be configured to assume that the bottom of segmented image does not move. Differences between the various ambient images captured by the sensor can be used to identify movement by the occupant, and thus the boundary of the segmented image. A template image is then fitted to the boundary of the segmented image for an entire range of predetermined angles. The validity of each fit within the range of angles can be evaluated. The template image can also be modified for future ambient images.

Abstract: A segmentation system is disclosed that allows a segmented image of a vehicle occupant to be identified within an overall image (the “ambient image”) of the area that includes the image of the occupant. The segmented image from a past sensor measurement within can help determine a region of interest within the most recently captured ambient image. To further reduce processing time, the system can be configured to assume that the bottom of segmented image does not move. Differences between the various ambient images captured by the sensor can be used to identify movement by the occupant, and thus the boundary of the segmented image. A template image is then fitted to the boundary of the segmented image for an entire range of predetermined angles. The validity of each fit within the range of angles can be evaluated. The template image can also be modified for future ambient images.