What is provided are methods of analyzing at least one image of the anterior segment of an eye and for selecting an intraocular lens (IOL). The methods may include detecting at least one image from an anterior segment of the eye; identifying a location of a reference structure on the eye using a plurality of points of a landmark on the anterior segment of the eye; and calculating at least one quantitative dimension of the anterior segment of the eye using the reference structure. The newly identified landmarks and quantifiable dimensions improve the characterization of the anterior segment in order to better predict the position and movement of the intraocular lens. The improved methods for analyzing the imaging of the anterior segment of the eye allows for improvements in the refractive outcomes of cataract surgery, glaucoma procedures, refractive outcomes, and other eye-related diseases.

A method is disclosed for using a precision ultrasound scanning device to image the anterior segment of the human eye, automatically locate the scleral spur, and, using the scleral spur as a fiduciary, to automatically make measurements in front of and behind the iris. The scleral spur can be used as a fiduciary to make measurements that characterize the normal and abnormal shapes of components within this region of the anterior segment of the eye. One or more of the measurements of the iridocorneal angle and the anterior chamber depth can be related to other measurements behind the iris including the iris lens contact distance, the iris zonule distance and the trabecular ciliary process distance. Over a period of time, these measurements can change and can indicate a change, or be a precursor for a change, of intraocular pressure (IOP), and therefore can determine an earlier onset of glaucoma.

A method is disclosed for using a precision ultrasound scanning device to image the anterior segment of the human eye, automatically locate the scleral spur, and, using the scleral spur as a fiduciary, to automatically make measurements in front of and behind the iris. The scleral spur can be used as a fiduciary to make measurements that characterize the normal and abnormal shapes of components within this region of the anterior segment of the eye. One or more of the measurements of the iridocorneal angle and the anterior chamber depth can be related to other measurements behind the iris including the iris lens contact distance, the iris zonule distance and the trabecular ciliary process distance. Over a period of time, these measurements can change and can indicate a change, or be a precursor for a change, of intraocular pressure (IOP), and therefore can determine an earlier onset of glaucoma.

Systems and methods are provided for in vivo pre-surgical characterization of lenses, such as cataractous lenses. A method comprises obtaining an electromagnetically-measured value related to the axial thickness of the lens, obtaining an ultrasound-measured value related to the axial thickness of the lens, calculating a relationship value based upon the electromagnetically-measured value and the ultrasound-measured value, and determining a mechanical property value based upon the calculated relationship value. The mechanical property may relate to lens hardness, rigidity, or density, or the amount of energy for a phacoemulsification procedure. A system may comprise an optical interferometer for measuring data to obtain the electromagnetically-measured value and an ultrasound biometer for measuring data to obtain the ultrasound-measured value.

Systems and methods are provided for in vivo pre-surgical characterization of lenses, such as cataractous lenses. A method comprises obtaining an electromagnetically-measured value related to the axial thickness of the lens, obtaining an ultrasound-measured value related to the axial thickness of the lens, calculating a relationship value based upon the electromagnetically-measured value and the ultrasound-measured value, and determining a mechanical property value based upon the calculated relationship value. The mechanical property may relate to lens hardness, rigidity, or density, or the amount of energy for a phacoemulsification procedure. A system may comprise an optical interferometer for measuring data to obtain the electromagnetically-measured value and an ultrasound biometer for measuring data to obtain the ultrasound-measured value.

A method for positioning key features of a lens based on ocular B-mode ultrasound images includes: acquiring and preprocessing the ocular B-mode ultrasound images to obtain a preprocessed B-mode ultrasound image, eyeball coordinates and lens coordinates; sending the preprocessed B-mode ultrasound image, the eyeball coordinates and the lens coordinates into a trained target detection network YOLOv3 to obtain eyeball position images and lens position images; substituting the eyeball position images and the lens position images into a trained feature extraction network group to obtain image features and feature coordinates corresponding to the eyeball position images and the lens position images, respectively; substituting the image features into a trained collaborative learning network to screen key image features; and marking a feature coordinate corresponding to the key image features on the ocular B-mode ultrasound images to complete positioning the key features of the lens.

A method for positioning key features of a lens based on ocular B-mode ultrasound images includes: acquiring and preprocessing the ocular B-mode ultrasound images to obtain a preprocessed B-mode ultrasound image, eyeball coordinates and lens coordinates; sending the preprocessed B-mode ultrasound image, the eyeball coordinates and the lens coordinates into a trained target detection network YOLOv3 to obtain eyeball position images and lens position images; substituting the eyeball position images and the lens position images into a trained feature extraction network group to obtain image features and feature coordinates corresponding to the eyeball position images and the lens position images, respectively; substituting the image features into a trained collaborative learning network to screen key image features; and marking a feature coordinate corresponding to the key image features on the ocular B-mode ultrasound images to complete positioning the key features of the lens.

A system and method for measuring biomechanical properties of tissues without external excitation are capable of measuring and quantifying these parameters of tissues in situ and in vivo. The system and method preferably utilize a phase-sensitive optical coherence tomography (OCT) system for measuring the displacement caused by the intrinsic heartbeat. The method allows noninvasive and nondestructive quantification of tissue mechanical properties. Preferably, the method is used to detect tissue stiffness and to evaluate its stiffness due to intrinsic pulsatile motion from the heartbeat. This noninvasive method can evaluate the biomechanical properties of the tissues in vivo for detecting the onset and progression of degenerative or other diseases and evaluating the efficacy of therapies.

A system and method for measuring biomechanical properties of tissues without external excitation are capable of measuring and quantifying these parameters of tissues in situ and in vivo. The system and method preferably utilize a phase-sensitive optical coherence tomography (OCT) system for measuring the displacement caused by the intrinsic heartbeat. The method allows noninvasive and nondestructive quantification of tissue mechanical properties. Preferably, the method is used to detect tissue stiffness and to evaluate its stiffness due to intrinsic pulsatile motion from the heartbeat. This noninvasive method can evaluate the biomechanical properties of the tissues in vivo for detecting the onset and progression of degenerative or other diseases and evaluating the efficacy of therapies.

Ultrasound systems having a computing device, a steering mechanism, and an ultrasound transducer are disclosed. The ultrasound transducer is configured to generate angularly discrete signals over a scan region of the ultrasound system in response to inputs from the steering mechanism. The computing device is communicatively coupled to the ultrasound transducer. The computing device includes a processor configured to receive angularly discrete ultrasound signals from the ultrasound transducer over the scan region, determine a scan line count corresponding to each of the received angularly discrete ultrasound signals, associate a TGC curve with each of the scan line counts, apply a TGC curve to each of the angularly discrete ultrasound signals as associated with the scan line count of each angularly discrete ultrasound signal, where each of the applied TGC curves defines a gain that maintains, increases, or decreases the angularly discrete ultrasound signal to which it is applied, over time.