Provided herein are methods and systems for making patient-specific therapy recommendations of a combination of any two or more therapies selected from a lipid-lowering therapy, an anti-inflammatory therapy for patients with known or suspected cardiovascular disease, such as atherosclerosis.

Methods for automated segmentation system for retinal blood vessels from optical coherence tomography angiography images include a preprocessing stage, an initial segmentation stage, and a refining stage. Application of machine-learning techniques to segmented images allow for automated diagnosis of retinovascular diseases, such as diabetic retinopathy.

A method for reproducing a lumen curve to a given tolerance in at least one image in optical coherence tomography (OCT). Examples of applications include imaging, evaluating and diagnosing biological objects, such as, but not limited to, cardio applications, and being obtained via one or more optical instruments, such as, but not limited to, catheters. The method may include obtaining a set of original points of the curve that correspond to measurements from an optical imaging device. Filtering the set of original points using at least one criteria to obtain a subset of original points. The method may also include determining if the subset of original points is less than a predetermined threshold and adjusting the at least one criteria to increase an amount of original points included in the subset of original points when it is determined that the subset of original points is less than the predetermined threshold.

Disclosed techniques evaluate the visual field of a patient's eye using deep learning techniques. A computer system obtains a plurality of cross-sectional scan images of a retina captured by an optical coherence tomography (OCT) device. The retina has an inner retinal layer. A retinal optical texture analysis (ROTA) map of the inner retinal layer is generated from the plurality of cross-sectional scan images. The ROTA map includes a plurality of pixels, and each pixel of the ROTA map corresponds to a respective optical texture signature value S providing information about tissue composition and optical density of the inner retinal layer at a respective retinal location. The computer system applies a machine learning model to process the ROTA map of the inner retinal layer to determine visual field sensitivity of the retina.

The disclosure relates, in part, to computer-based visualization of stent position within a blood vessel. A stent can be visualized using intravascular data and subsequently displayed as stent struts or portions of a stent as a part of a one or more graphic user interface(s) (GUI). In one embodiment, the method includes steps to distinguish stented region(s) from background noise using an amalgamation of angular stent strut information for a given neighborhood of frames. The GUI can include views of a blood vessel generated using distance measurements and demarcating the actual stented region(s), which provides visualization of the stented region. The disclosure also relates to display of intravascular diagnostic information such as indicators. An indicator can be generated and displayed with images generated using an intravascular data collection system. The indicators can include one or more viewable graphical elements suitable for indicating diagnostic information such as stent information.

A system for visualizing a three-dimensional target area of an object with a measuring device which determines a distance of a surgical instrument in a target area with respect to a predetermined structure in the target area, a display unit for representing the views, and a control unit. The control unit controls the display unit such that the display unit is in a first display mode when a determined distance is greater than a predetermined first limit value, and switches from the first display mode into a second display mode when the determined distance changes from being greater than a predetermined second limit value, which is smaller than or equal to the predetermined first limit value, to smaller than the predetermined second limit value.

An image processing method, including: by a processor: acquiring a fundus image; performing a first enhancement processing on an image of at least a central region of the fundus image, and performing a second enhancement processing, which is different from the first enhancement processing, on an image of at least a peripheral region of the fundus image that is at a periphery of the central region; and generating an enhanced image of the fundus image on the basis of a first image obtained as a result of the first enhancement processing having been performed and a second image obtained as a result of the second enhancement processing having been performed.

Devices, systems, and methods for stent detection and apposition are disclosed. Embodiments obtain a plurality of images of intravascular image data of a vessel wall and an endovascular device, generate a signal that represents the plurality of images, identify one or more images that correspond to the endovascular device based on the signal that represents the plurality of images, generate a representation of a three-dimensional (3D) shape of the endovascular device based on the one or more images, determine an apposition value of the endovascular device relative to the vessel wall using a representation of a 3D shape of a lumen segment that corresponds to the endovascular device, the apposition value based on a volume difference between the 3D shape of the lumen segment and the 3D shape of the endovascular device, and present information indicating the apposition value.

The present disclosure relates to a medical microscope field. A stereo microscope connected to an optical coherence tomography (OCT) unit for forming a tomographic image of a target object includes an objective lens unit including a plurality of lenses each having an aperture of a predetermined size, a pair of first magnification lens units each including a plurality of lenses having a pair of magnification lens apertures positioned within the aperture of the objective lens unit, a second magnification lens unit including a plurality of lenses having an OCT aperture disposed separately from the pair of magnification lens aperture within the aperture of the objective lens unit, and a light delivery unit configured to receive light from the OCT unit and deliver the light to the second magnification lens unit and configured to deliver light received from the second magnification lens unit to the OCT unit.

The disclosure provides an optical apparatus, comprising: a source of wavelength tunable laser light or a broad band partially coherent light source, a first beam splitter receiving the light and directing a part of the light to a sample arm as illumination light and another part of the light to a reference arm as reference light, the sample arm comprising: means for directing the illumination light via a first beam splitter as a light spot to a sample, wherein an image of the light spot is reflected from the sample, a focus tunable optics receiving the image of the light spot from the sample after being transmitted through the first beam splitter and focusing the image to a detection plane, wherein a photodetector unit is adapted for receiving the recombined light from the sample arm and the reference arm. Preferably, a computing unit is connected to the photodetector unit, wherein the computing unit is configured to digitize the signal and use digital techniques to calculate wavefront error at different planes, e.g. in the human eye.