A method for creating image products includes the following steps. Image data and positional data corresponding to the image data are captured and processed to create geo-referenced images. Edge detection procedures are performed on the geo-referenced images to identify edges and produce geo-referenced, edge-detected images. The geo-referenced, edge-detected images are saved in a database. A user interface to view and interact with the geo-referenced image is also provided such that the user can consistently select the same Points of Interest between multiple interactions and multiple users.

Described herein are systems and methods for synthetic CT image creation that allow MR-only radiotherapy of cancer patients, e.g., head and neck (H&N) cancer patients, prostate cancer patients, patients with cancer of the pelvis, abdomen cancer patients, patients with cancer of the extremities, brain cancer patients, or thorax cancer patients. The methods and systems described herein feature image processing techniques that improve the similarity between CT and MR images prior to CT-MR image registration, as well as standardization of the MR intensity histograms prior to MR-MR registration. Application of the techniques result in more accurate assignment of the Hounsfield unit to each point in the synthetic CT compared to other atlas-based methods, providing for more accurate dosing in MR-only radiotherapy simulation and planning.

Disclosed herein are adapters configured to be optically coupled to a plurality of microscopes, said adapter comprising: a) a first microscope interface configured to optically couple a first microscope to an optical element in optical communication with an optical probe; b) a second microscope interface configured to optically couple a second microscope to the optical element in optical communication with the optical probe; and c) an optical arrangement configured to direct light collected from a sample with aid of the optical probe to (1) the first microscope and second microscope simultaneously, or (2) the first microscope or second microscope selectively.

An image processing apparatus comprises a corresponding point obtaining unit configured to obtain corresponding points that are feature points of an object associated between a first image and a second image; a first deformation obtaining unit configured to obtain first deformation that is based on the corresponding points; a second deformation obtaining unit configured to obtain second deformation that is performed between the first image and the second image, and in which a degree of coincidence of corresponding points is lower than the first deformation; and a combining unit configured to combine the first deformation and the second deformation, regarding positions in at least one image of the first Image and the second image, based on distances between the corresponding points and the positions.

Methods, systems, and computer readable media for automated intraoperative surgical guidance in medical images are disclosed. A system and method generally for analyzing subject image data, calculating surgical decision risks and autonomously providing recommended pathways or actions that support the decision-making process of a surgeon to predict optimized implant and subject outcomes (ex. implant guidance, fracture reduction, anatomical alignment) by a graphical user interface.

Systems, computer-implemented methods, apparatus and/or computer program products are provided that facilitate improving the accuracy of global positioning system (GPS) coordinates of indoor photos. The disclosed subject matter further provides systems, computer-implemented methods, apparatus and/or computer program products that facilitate generating exterior photos of structures based on GPS coordinates of indoor photos.

A system receives digital images of a geographic location, associates each digital image with ground control points in a set of reference stereo images, and associates each digital image to each other digital image via image to image tiepoints. The system updates a geometry of each image via a bundle adjustment, and uses a prioritized stacking order to establish piecewise linear seam lines between each of the images. The system finally builds a prioritized map in a mosaic space specifying the source image pixels that are used in each region of the output mosaic, and forms the mosaic image using the prioritized map.

An information processing system includes circuitry that inputs an image, and determines whether the image deviates from at least one desired image capture condition. The circuitry identifies a deviation amount of the image relative to the at least one desired image capture condition, and generates a deformed image in which a deviation from the at least one desired image capture condition is increased by a predetermined amount over the deviation amount identified.

A method for determining respiratory induced blood mass change from a four-dimensional computed tomography (4D CT) includes receiving a 4D CT image set which contains a first three-dimensional computed tomographic image (3D CT) and a second 3D CT image. The method includes executing a deformable image registration (DIR) function on the received 4D CT image set, and determining a displacement vector field indicative of the lung motion induced by patient respiration. The method further includes segmenting the received 3D CT images into a first segmented image and a second segmented. The method includes determining the change in blood mass between the first 3D CT image and the second 3D CT image from the DIR solution, the segmented images, and measured CT densities.

Disclosed is an apparatus and method of generating a stitched image. A method of generating a stitched image according to the present disclosure includes: obtaining a plurality of input images; determining whether or not a parallax problem occurs between overlapping areas of the obtained input images; updating a predetermined look-up table according to the determination; and generating a stitched image by applying the updated look-up table to the input images.