Abstract: An ophthalmic apparatus includes an acquiring unit, an OCT unit, an analyzer, and a calculator. The acquiring unit is configured to acquire a dioptric power in a first region including a fovea of a subject's eye. The OCT unit is configured to acquire OCT data of a fundus of the subject's eye using optical coherence tomography. The analyzer is configured to specify a shape of the fundus by analyzing the OCT data. The calculator is configured to calculate a dioptric power in a peripheral region of the first region of the fundus based on the dioptric power in the first region and the shape of the fundus.

Abstract: Velocity tomography using time lags of wave equation migration is disclosed. Seismic tomography is a technique for imaging the subsurface of the Earth with seismic waves by generated a migration velocity model from a multitude of observations using combinations of source and receiver locations. The migration velocity model may be updated in order to reduce depth differences of reflection events (also called residual depth errors (RDE)). Direct measurement of RDE may be difficult in certain complex subsurface areas. In such areas, the RDE may be reconstructed based on time lags of wave equation migration and then used to update the migration velocity model. In particular, the RDE may be directly reconstructed from the time lags of wave equation migration, such as based on a direct relation between RDE and the time lags.

Abstract: A modular mask including a first module including a frame having two or more openings, and an attaching mechanism lining one or more edges of the two or more openings; and a second module including: a mask body having a first attaching element allowing the attaching mechanism to temporarily hold the mask body in place completely covering a first opening of the two or more openings, and a filter component having a second attaching element allowing the attaching mechanism to temporarily hold the filter component in place completely covering a second opening of the two or more openings.

Abstract: A slit lamp microscope of an aspect example includes a scanner and a data processor. The scanner is configured to scan an anterior segment of a subject's eye with slit light to collect a plurality of cross sectional images. The data processor is configured to generate opacity distribution information that represents a distribution of an opaque area in a crystalline lens, based on the plurality of cross sectional images collected by the scanner.

Abstract: Methods and systems for angiographic imaging with optical coherence tomography (OCT) are described using ratio-based and angiographic deviation based calculations. In using these calculations to determine motion, arbitrary interframe permutations may be used, post- calculated, non-linear results for projection visualization may be averaged, poor matches may be eliminated on an A-line by A-line basis, windowing functions may be used to improve results, partial spectrums may be used when capturing data, and a minimum intensity threshold may be used for determining which pixels to use.

Abstract: An ophthalmologic information processing apparatus includes an acquisition unit, a tissue specifying unit, and a specifying unit. The acquisition unit is configured to acquire a tomographic image of a subject's eye. The tissue specifying unit is configured to acquire first shape data representing shape of a tissue of the subject's eye by performing segmentation processing on each of a plurality of tomographic images acquired by the acquisition unit. The specifying unit is configured to obtain second shape data representing shape of the tissue based on the plurality of first shape data acquired by the tissue specifying unit.

Abstract: A slit lamp microscope of some aspect examples includes a scanner and a rendering processor. The scanner is configured to scan an anterior segment of a subject's eye with slit light to collect a plurality of cross sectional images. The rendering processor is configured to apply rendering to a three dimensional image created from the plurality of cross sectional images.

Abstract: A multimodal imaging system and method is capable of taking fundus images, automatically identifying regions of interest (ROIs) of the eye from the fundus images, and performing OCT imaging in the identified ROIs, where the OCT images can provide clinically relevant information for screening purposes. By automatically identifying the ROIs, expert intervention is not required to perform specialized OCT imaging and thus, such imaging and analysis can be provided at more facilities and for more subjects for a lower cost.

Abstract: An ophthalmic apparatus includes an acquiring unit, an OCT unit, an analyzer, and a calculator. The acquiring unit is configured to acquire a dioptric power in a first region including a fovea of a subject's eye. The OCT unit is configured to acquire OCT data of a fundus of the subject's eye using optical coherence tomography. The analyzer is configured to specify a shape of the fundus by analyzing the OCT data. The calculator is configured to calculate a dioptric power in a peripheral region of the first region of the fundus based on the dioptric power in the first region and the shape of the fundus.

Abstract: An ophthalmologic apparatus of embodiments includes an OCT unit, an acquisition unit, and a specifying unit. The OCT unit is configured to acquire a tomographic image of a subject's eye using optical coherence tomography. The acquisition unit is configured to acquire a front image of the subject's eye. The specifying unit is configured to specify shape of a tissue of the subject's eye based on the tomographic image acquired by the OCT unit and the front image acquired by the acquisition unit.

Abstract: An ophthalmologic information processing apparatus includes an acquisition unit, a tissue specifying unit, and a specifying unit. The acquisition unit is configured to acquire a tomographic image of a subject's eye formed based on scan data acquired using an optical system for performing optical coherence tomography on the subject's eye. The tissue specifying unit is configured to acquire first shape data representing shape of a tissue of the subject's eye by performing segmentation processing on the tomographic image. The specifying unit is configured to specify a low sensitivity component having a small variation with respect to a change in a position of the optical system with respect to the subject's eye from the first shape data, and to obtain second shape data representing shape of the tissue based on the specified low sensitivity component.

Abstract: A multimodal imaging system and method is capable of taking fundus images, automatically identifying regions of interest (ROIs) of the eye from the fundus images, and performing OCT imaging in the identified ROIs, where the OCT images can provide clinically relevant information for screening purposes. By automatically identifying the ROIs, expert intervention is not required to perform specialized OCT imaging and thus, such imaging and analysis can be provided at more facilities and for more subjects for a lower cost.

Abstract: Velocity tomography using time lags of wave equation migration is disclosed. Seismic tomography is a technique for imaging the subsurface of the Earth with seismic waves by generated a migration velocity model from a multitude of observations using combinations of source and receiver locations. The migration velocity model may be updated in order to reduce depth differences of reflection events (also called residual depth errors (RDE)). Direct measurement of RDE may be difficult in certain complex subsurface areas. In such areas, the RDE may be reconstructed based on time lags of wave equation migration and then used to update the migration velocity model. In particular, the RDE may be directly reconstructed from the time lags of wave equation migration, such as based on a direct relation between RDE and the time lags.

Abstract: Embodiments discussed herein facilitate determining a diagnosis and/or prognosis for prostate cancer based at least in part on three-dimensional (3D) pathomic feature(s). One example embodiment comprises a computer-readable medium storing computer-executable instructions that, when executed, cause a processor to perform operations, comprising: accessing a three-dimensional (3D) optical image volume comprising a prostate gland of a patient; segmenting the prostate gland of the 3D optical image volume; extracting one or more features from the segmented prostate gland, wherein the one or more features comprise at least one 3D pathomic feature; and generating, via a model based at least on the one or more features, one or more of the following based at least on the extracted one or more features: a classification of the prostate gland as one of benign or malignant, a Gleason score associated with the prostate gland, or a prognosis for the patient.

Abstract: An optical coherence tomography (OCT) system electrically mixes a signature signal with an OCT signal (e.g., an interferogram) output by a photodetector of the OCT system. The signature signal may be a signal output by a photodetector that detects an optical signal from a fiber Bragg grating. The signature signal may then be time delayed before combination with the OCT signal. A series of interferograms are then aligned according to the signature signal. A rescaling signal may be similarly electrically mixed with the signature and OCT signals.

Abstract: Methods and systems for angiographic imaging with optical coherence tomography (OCT) are described using ratio-based and angiographic deviation based calculations. In using these calculations to determine motion, arbitrary interframe permutations may be used, post- calculated, non-linear results for projection visualization may be averaged, poor matches may be eliminated on an A-line by A-line basis, windowing functions may be used to improve results, partial spectrums may be used when capturing data, and a minimum intensity threshold may be used for determining which pixels to use.

Abstract: An optical coherence tomography (OCT) system electrically mixes a signature signal with an OCT signal (e.g., an interferogram) output by a photodetector of the OCT system. The signature signal may be a signal output by a photodetector that detects an optical signal from a fiber Bragg grating. The signature signal may then be time delayed before combination with the OCT signal. A series of interferograms are then aligned according to the signature signal. A rescaling signal may be similarly electrically mixed with the signature and OCT signals.

Abstract: An ophthalmologic apparatus according to the embodiments includes an OCT optical system, an alignment unit, an image forming unit, a first calculator, and a second calculator. The OCT optical system is configured to acquire OCT data of a fundus of a subject's eye by projecting measurement light onto the fundus. The alignment unit is configured to perform alignment of the OCT optical system with reference to a predetermined site of the subject's eye. The image forming unit is configured to form a tomographic image of the fundus based on the OCT data acquired by the OCT optical system which has been aligned by the alignment unit. The first calculator is configured to calculate a first tilt angle of the tomographic image. The second calculator is configured to calculate a second tilt angle of the fundus by correcting the first tilt angle based on alignment result of the OCT optical system with respect to the predetermined site by the alignment unit.

Abstract: Methods and systems for angiographic imaging with optical coherence tomography (OCT) are described using ratio-based and angiographic deviation based calculations. In using these calculations to determine motion, arbitrary interframe permutations may be used, post-calculated, non-linear results for projection visualization may be averaged, poor matches may be eliminated on an A-line by A-line basis, windowing functions may be used to improve results, partial spectrums may be used when capturing data, and a minimum intensity threshold may be used for determining which pixels to use.

Abstract: An ophthalmologic information processing apparatus includes an acquisition unit, a tissue specifying unit, and a specifying unit. The acquisition unit is configured to acquire a tomographic image of a subject's eye. The tissue specifying unit is configured to acquire first shape data representing shape of a tissue of the subject's eye by performing segmentation processing on each of a plurality of tomographic images acquired by the acquisition unit. The specifying unit is configured to obtain second shape data representing shape of the tissue based on the plurality of first shape data acquired by the tissue specifying unit.