Systems and methods for detecting, counting and analyzing the blood content of a surgical textile are provided, utilizing an infrared or depth camera in conjunction with a color image.

A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry sets a first region of interest in a region corresponding to cardiac muscle on a cross-section of a heart included in image data. The processing circuitry further sets a second region of interest that is larger than the first region of interest in a region including the region. The processing circuitry determines a threshold for determining a range of signal values used for blood flow dynamic analysis on the image data based on a frequency distribution of signal values in the first region of interest. The processing circuitry carries out blood flow dynamic analysis on the second region of interest using signal values included in a range based on the threshold.

An X-ray diagnostic apparatus according to the embodiment includes an X-ray tube, an X-ray detector, image generating unit generating time-series medical images of vasoganglion in a predetermined organ of a subject, region setting unit setting a first upstream and downstream region of a stenosis location in a first blood vessel in the vasoganglion on the medical images, curve generating unit generating a stenosis upstream and downstream curve indicating a change in pixel value in the time-series based on pixel values included in the first upstream and downstream region respectively, stenosis index generating unit generating a stenosis index indicating the degree of stenosis in the first blood vessel based on the stenosis upstream and downstream curve, and display unit displaying the stenosis index.

A method for real-time vascular modeling and assessment is disclosed. Modeling, in some embodiments, comprises receiving a plurality of 2-D angiographic images of a portion of a vasculature of a subject, and processing the images to automatically detect 2-D features, for example, paths along vascular extents, which are projected into 3-D to determine homologous features among blood vessels and construct 3-D vascular extents and determine other vascular characteristics. Assessment, in some embodiments, comprises processing models selectively different from one another to produce one or more vascular indexes which indicate a diagnostic preference, for example, to perform a medical intervention such as a stent implantation. Speed is achieved, for example, by the method being optimized for determining the effects of a medical intervention. In some embodiments, results are produced quickly enough to allow use of the method to perform PCI within the same catheterization used to perform diagnostic imaging.

A method of generating a 3D ultrasound image includes acquiring a 3D volumetric data set corresponding to a 3D imaging volume of an ultrasound probe in a 3D detection volume; acquiring a position of the ultrasound probe with respect to the 3D detection volume; acquiring a position of an interventional medical device with respect to the 3D detection volume; determining a position of the interventional medical device relative to the 3D imaging volume of the ultrasound probe; determining an interventional medical device-aligned plane that intersects with a longitudinal axis of the interventional medical device; extracting a texture slice from the 3D imaging volume for a corresponding interventional medical device-aligned plane positional and rotational orientation; mapping the texture slice onto the interventional medical device-aligned plane; and rendering the interventional medical device-aligned plane as a 3D ultrasound image and displaying the rendered 3D ultrasound image on a display screen.

According to one embodiment, an ultrasonic diagnosis apparatus includes processing circuitry. The processing circuitry acquires three-dimensional Doppler data of an observation target, calculates a gradient of a surface of the observation target using a first element included in the Doppler data, generates a first rendering image of the observation target based on a second element included in the Doppler data, which is different from the first element, and generates a second rendering image considering shading based on the gradient and the first rendering image.

A plurality of image projections are acquired at faster than cardiac rate. A spatiotemporal reconstruction of cardiac frequency angiographic phenomena in three spatial dimensions is generated from two dimensional image projections using physiological coherence at cardiac frequency. Complex valued methods may be used to operate on the plurality of image projections to reconstruct a higher dimensional spatiotemporal object. From a plurality of two spatial dimensional angiographic projections, a 3D spatial reconstruction of moving pulse waves and other cardiac frequency angiographic phenomena is obtained. Reconstruction techniques for angiographic data obtained from biplane angiography devices are also provided herein.

A first acquisition unit acquires stent regions from each of three-dimensional images. A second acquisition unit acquires blood vessel regions from each of the three-dimensional images. A positioning unit acquires a first positioning result by positioning the blood vessel regions for each of the three-dimensional images. A deviation information acquisition unit acquires deviation information indicating a deviation of a stent from a blood vessel between the three-dimensional images based on the stent regions for the three-dimensional images and a deformation vector which is the first positioning result.

A method for processing medical images includes analyzing a medical image to detect a medical condition from a list of medical conditions, wherein the list of medical conditions includes aortic dissection, pulmonary embolism, and coronary stenosis. Responsive to determining the medical image includes a first medical condition, the method generates a first report that includes information on a detection of the first medical condition. The method identifies, a medical specialist based on availability and medical expertise and sends to the identified medical specialist, the medical image and the first report for a decision on the detection of the first medical condition. Responsive to receiving the decision from the medical specialist, the method sends to a second electronic device, the decision, the medical image, and the first report.

The present invention is applicable to the technical field of medical image processing, and provides a method, an apparatus, a device, and a storage medium for extracting a cardiovascular vessel from a CTA image. The method comprises: performing erosion operation and dilation operation on image data successively via a preset structural element to obtain a structure mask; performing a slice-by-slice transformation on the plane of section images of the structural mask to acquire the first ascending aortic structure in the structural mask, and acquiring an aortic center position and an aortic radius in the last slice of the plane of section image of the said structural mask; establishing a binarized sphere structure according to the aortic center position and the aortic radius, and synthesizing a second ascending aorta structure by combining the first ascending aorta structure with the structure mask and the binarized sphere structure. The present invention realizes extracting shapes of ascending aorta and root aortic sinus, so that the aortic structure and morphology can be accurately visualized, thereby greatly improving the level and ability of medical imaging researches to solve clinical issues.