A method of fusing 2D and 3D imaging data includes receiving 3D imaging data and 2D color imaging data of a region of interest, segmenting the 3D imaging data to identify anatomical features in the region of interest, including surfaces of the anatomical features and a corresponding volume of the anatomical features, and generating an image by fusing the 2D color imaging data to the 3D imaging data according to the surfaces, the corresponding volumes, and identities of the anatomical features. In some cases, the 3D imaging data is captured via optical coherence tomography. In some cases, the 2D color imaging data is captured via color microscopy. In some cases, the method further includes rendering a final image at an output plane by casting a ray through the fused 3D imaging data for each pixel and viewpoint of the output image plane for the image.

Systems and methods for tomosynthesis with an x-ray filter are disclosed. The present technology provides performing breast tomosynthesis in the presence of an x-ray filter. For example, an x-ray filter may be placed between an x-ray source and breast tissue. The filter may proportionally filter out a subset of the energies emitted by the x-ray source. A filter may include characteristics to filter x-ray energies based on a k-edge of a contrast agent introduced into the breast, such that the breast tissue has relatively greater exposure to x-ray energies above the k-edge of the contrast agent to illuminate the contrast agent without substantial illumination of other breast tissue. Thus, tomosynthesis images similar to those obtained using subtraction may be acquired without software-based contrast enhancing techniques.

A mechanism is provided in a data processing system for refining lesion contours with combined active contour and inpainting. The mechanism receives an initial segmented medical image having organ tissue including a set of object contours and a contour to be refined. The mechanism inpaints object voxels inside all contours of the set. The mechanism calculates an updated contour around the contour to be refined based on the in-painted object voxels to form an updated segmented medical image. The mechanism determines whether the updated segmented medical image is improved compared to the initial segmented medical image. The mechanism keeps the updated segmented medical image responsive to the updated segmented medical image being improved.

This patent includes a method for utilizing imaging biomarkers to improve pharmacologic dosing strategies. Specifically, biomarker specific CT and MM examination protocols are disclosed. Dose adjustments based on imaging biomarkers are discussed. Longitudinal analysis of imaging biomarkers is disclosed assess effectiveness of pharmacotherapy and dosing strategies thereof. Finally, manufacturing of a combination pill with day-to-day variations of drug quantities is disclosed.

Described here are expandable devices and methods for using them. The devices generally comprise a hub and a plurality of legs extending therefrom. In some variations, the hub may comprise one or more domed portions, tapered portions, or the like. The legs may comprise one or more straight segments, one or more curved segments, or a combination thereof. The devices may comprise one or more polymers, and/or one or more portions of the device may be configured to biodegrade. In other variations, the device may be configured to release one or more drugs therefrom. Additionally, in some variations the devices may be configured to be self-expandable from a low-profile configuration to an expanded configuration.

The present invention relates to a method for the evaluation of tissue gadolinium deposition that offers advantages compared with known methods. Comparison of different gadolinium-based contrast agents (GBCAs) based on retention, organ distribution, washout and safety is facilitated using the methods of the present invention.

An image processing method performed by a terminal is provided. A molybdenum target image is obtained, and a plurality of candidate regions are extracted from the molybdenum target image. In the molybdenum target image, a target region is marked in the plurality of candidate regions by using a neural network model obtained by deep learning training, a probability that a lump comprised in the target region is a target lump being greater than a first threshold, a probability that the target lump is a malignant tumor being greater than a second threshold, and the neural network model being used for indicating a mapping relationship between a candidate region and a probability that a lump comprised in the candidate region is the target lump.

A method for using CO.sub.2 as a contrast material in medical imaging procedures is disclosed. The method includes providing a source of pressurized CO.sub.2. The step of providing includes connecting the source of pressurized CO2 to a compressed gas unit for controlling delivery of the CO.sub.2. The method also includes regulating pressure of the CO.sub.2 delivered by the compressed gas unit, transmitting the pressurized CO.sub.2 from the compressed gas unit to a control valve assembly for delivery to a patient in controlled dosages, and sequentially processing the CO.sub.2 with the control valve assembly and delivering the CO.sub.2 to the patient as a contrast media.

According to one embodiment, there is provided an X-ray diagnostic apparatus which comprises an X-ray generation unit configured to irradiate an object with X-rays; an X-ray detection unit configured to detect X-rays applied by the X-ray generation unit and transmitted through the object; an image generation unit configured to generate an X-ray image based on X-rays detected by the X-ray detection unit; a recording unit configured to record pressure data acquired by using a pressure sensor provided on a guide wire; a measurement position setting unit configured to set a measurement position for a pressure by the pressure sensor using the X-ray image; and a display unit configured to display the X-ray image almost in real time and superimpose and display the measurement position set by the measurement position setting unit.

The present invention relates to a device (1) for fractional flow reserve determination. The device (1) comprises a model generator (10) configured to generate a three-dimensional model (3DM) of a portion of an imaged vascular vessel tree (VVT) surrounding a stenosed vessel segment (SVS), based on a partial segmentation of the imaged vascular vessel tree (VVT). Further, the device comprises an image processor (20) configured to calculate a blood flow (Q) through the stenosed vessel segment (SVS) based on an analysis of a time-series of X-ray images of the vascular vessel tree (VVT). Still further, the device comprises a fractional-flow-reserve determiner (30) configured to determine a fractional flow reserve (FFR) based on the three-dimensional model (3DM) and the calculated blood flow.