Topological evolution of a lesion within a time series of medical imagery is provided. In various embodiments, a time series of medical images is read. Each of the images depicts a subject anatomy and a lesion. The lesion has a size and a contour within each of the medical images. At least one anatomical label is read for the subject anatomy within each of the plurality of images. Based upon the contour of the lesion within each of the medical images and based on the at least one anatomical label, a further contour of the lesion is predicted outside of the time series.

Some embodiments are directed to a method of estimating a velocity of a contrast agent. The method includes receiving a plurality of video frames that were produced using a dynamic contrast enhanced imaging process, each video frame including a plurality of pixels/voxels. Information from the video frames is used to estimate velocity vectors indicating the velocity and direction of the agent with the vascular networks. The estimated velocity can be used to diagnose cancer, such as prostate cancer. Instead of velocity vectors, agent trajectories can be determined also used for the same purpose.

A system includes a first device having a non-transitory storage medium and at least one processor communicatively coupled to the non-transitory storage medium. The at least one processor is configured to receive a first set of images from a second device, each image of the first set of images including a skin condition of a patient. The at least one processor is further configured to generate a three-dimensional mesh of the skin condition based on the first set of images. The at least one processor is further configured to semantically segment boundaries of the skin condition in at least one image of the first set of images. The at least one processor is further configured to map the segmented boundaries to the three-dimensional mesh. The at least one processor is further configured to determine a depth and a volume of the skin condition based on the three-dimensional mesh.

For generating a breathing alert is disclosed, a method receives a video stream of a subject. The method further estimates a breathing signal from the video stream. The method determines one of a large-scale motion and/or a breathing event of the subject based on the breathing signal. The method generates an alert if both no breathing event is identified and no large-scale motion of the subject is identified within an event time interval.

Image processing methods and related systems (IPS) to process imagery (F) acquired during deposition of a substance at a region of interest, ROI The methods and systems allow visualizing in a graphics display (GD) various aspects of the deposited substance and/or determining, based on the imagery, the amount of said substance deposited at the ROI.

An image processing apparatus is disclosed. The image processing apparatus of the present invention comprises: an image receiving unit for receiving a first image and a second image of the same object taken at different times; a processor for obtaining transformation information by registering the first image on the basis of the second image, obtaining a first segment image corresponding to an area of the object from the first image, and generating a second segment image corresponding to an area of the object of the second image by transforming the obtained first segment image according to the transformation information; and an output unit for outputting the second segment image.

Examples of devices and method for quantifying opacities in an eye are shown. Examples include analysis of still images or video images. In one example a cross section area of opacities within a visual axis are quantified. Opacities in the vitreous of an eye, such as floaters can vary in severity from little or no reduction in vision, to bothersome, to high reduction in visual function. It is desirable to be able to quantify a level of severity of visual obstruction within a patient's eye and proceed with a level of treatment to match the condition.

A system and method of classifying images of pathology. An image is received, normalized, and segmented normalizing the image; into a plurality of regions; A disease vector is automatically determining for the plurality of regions with at least one classifier comprising a neural network. Each of the respective plurality of regions is automatically annotated, based on the determined disease vectors. The received image is automatically graded based on at least the annotations. The neural network is trained based on at least an expert annotation of respective regions of images, according to at least one objective classification criterion. The images may be eye images, vascular images, or funduscopic images. The disease may be a vascular disease, vasculopathy, or diabetic retinopathy, for example.

System and methods for monitoring the growth of an aquatic plant culture and detecting real-time characteristics associated with the aquatic plant culture aquatic plants. The systems and methods may include a control unit configured to perform an analysis of at least one image of an aquatic plant culture. The analysis may include processing at least one collected image to determine at least one physical characteristic or state of an aquatic plant culture. Systems and methods for distributing aquatic plant cultures are also provided. The distribution systems and methods may track and control the distribution of an aquatic plant culture based on information received from various sources. Systems and methods for growing and harvesting aquatic plants in a controlled and compact environment are also provided. The systems may include a bioreactor having a plurality of vertically stacked modules designed to contain the aquatic plants and a liquid growth medium.

To make it possible to improve user convenience, provided is a control device including: a control unit configured to control a position and an attitude of a microscope unit by driving an arm unit that supports the microscope unit on the basis of a captured image of an operating site photographed by the microscope unit during an operation so that a position and attitude condition set before the operation is satisfied. The position and attitude condition is a condition that prescribes a position and an attitude of the microscope unit with respect to the operating site to obtain a desired captured image corresponding to the position and attitude condition.