Patent classifications
A61B6/022
VASCULAR CHARACTERISTIC DETERMINATION WITH CORRESPONDENCE MODELING OF A VASCULAR TREE
Automated image analysis used in vascular state modeling. Coronary vasculature in particular is modeled in some embodiments. Methods of virtual revascularization of a presently stenotic vasculature are described; useful, for example, as a reference in disease state determinations. Structure and uses of a model which relates records comprising acquired images or other structured data to a vascular tree representation are described.
Particle beam therapy apparatus
A particle beam therapy apparatus includes: a particle beam irradiator outputting a particle beam; a movable supporting structure supporting the particle beam irradiator; movable plates disposed on a displacement trajectory of the particle beam irradiator, forming a substantially horizontal enveloping surface below a table for placing an irradiation object, and including first and second floor members in at least one of the movable plates, the second floor member being larger in X-ray transmittance than the first floor member; an X-ray generator provided in a non-collision area where the X-ray generator does not collide with any of the particle beam irradiator, the supporting structure, and the movable plates; and an X-ray detector installed at a position where the X-ray detector faces the X-ray generator.
NON-INVASIVE ELECTROPHYSIOLOGY MAPPING BASED ON AFFORDABLE ELECTROCARDIOGRAM HARDWARE AND IMAGING
For non-invasive EP mapping, a sparse number of electrodes (e.g., 10 in a typical 12-lead ECG exam setting) are used to generate an EP map without requiring preoperative 3D image data (e.g. MR or CT). An imager (e.g., a depth camera) captures the surface of the patient and may be used to localize electrodes in any positioning on the patient. Two-dimensional (2D) x-rays, which are commonly available, and the surface of the patient are used to segment the heart of the patient. The EP map is then generated from the surface, heart segmentation, and measurements from the electrodes.
X-ray imaging apparatus, medical image processing apparatus, X-ray imaging method and medical image processing method
According to one embodiment, an X-ray imaging apparatus includes an X-ray image acquisition unit, a control system and a display processing part. The X-ray image acquisition unit acquires X-ray image data of an object by using at least one imaging system. The control system controls the imaging system to acquire X-ray image data corresponding to different directions by reciprocating the imaging system repeatedly. The display processing part acquires X-ray image data for stereoscopic viewing out of the X-ray image data corresponding to the different directions to generate and display stereoscopically visible image data on a display unit based on the X-ray image data for the stereoscopic viewing. The X-ray image data for the stereoscopic viewing are acquired in a period without a motion or a possibility of the motion in an imaging part of the object.
Method and apparatus for determining or predicting the position of a target
A data processing method for determining the position of a target, comprising the steps performed by a computer: a) acquiring a target movement model specifying a movement cycle of the target; b) acquiring a target position signal representing a view of the target from a single direction and/or provided by a single imager; c) determining, based on the acquired target position signal and the target movement model, the position of the target.
Computed tomography enhanced fluoroscopic system, device, and method of utilizing the same
A system and method for enhanced navigation for use during a surgical procedure including planning a navigation path to a target using a first data set of computed tomography images previously acquired; navigating a marker placement device to the target using the navigation path; placing a plurality of markers in tissue proximate the target; acquiring a second data set of computed tomography images including the plurality of markers; planning a second navigation path to a second target using the second data set of computed tomography images; navigating a medical instrument to a second target; capturing fluoroscopic data of tissue proximate the target; and registering the fluoroscopic data to the second data set of computed tomography images based on marker position and orientation within the real-time fluoroscopic data and the second data set of computed tomography images.
DIAGNOSTICALLY USEFUL RESULTS IN REAL TIME
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.
Computed tomography enhanced fluoroscopic system, device, and method of utilizing the same
A system for enhanced surgical navigation including a computing device and an imaging device. The computing device is configured to import a navigation path to a target using a first data set of computed tomography images previously acquired, display the navigation path on a graphical user interface for navigation to the target and placement of a plurality of markers in tissue proximate the target, and acquire a second data set of computed tomography images including the plurality of markers. The imaging device is configured to capture fluoroscopic data of tissue proximate the plurality of markers. The computing device is further configured to register the fluoroscopic data to the second data set of computed tomography images based on marker position and marker orientation within the fluoroscopic data and marker position and orientation within the second data set of computed tomography images.
Record and reconstruct x-ray image data on the basis of elliptical cylinders
A recording and reconstruction of image data of a predetermined object of an examination object is performed by an x-ray system. The x-ray system determines a number of elliptical cylinders so that the object is arranged entirely in the volumes of the cylinders. Data within each of the cylinders is recorded by the x-ray system. The image data of the object is reconstructed based on the data recorded for each of the cylinders.
METHODS AND DEVICES FOR PERFORMING THREE-DIMENSIONAL BLOOD VESSEL RECONSTRUCTION USING ANGIOGRAPHIC IMAGES
The disclosure provides a method and device for performing three-dimensional blood vessel reconstruction using angiographic images. The method includes an acquisition step that acquires a first two-dimensional image of the blood vessel in the first projection direction and a corresponding reconstructed three-dimensional model of the blood vessel. The method further includes a simulated light path length determining step that determines simulated optical path length within the blood vessel at a position thereof in the first projection direction based on the three-dimensional model of the blood vessel, and a three-dimensional reconstruction adjustment step that adjusts reconstruction parameters of the three-dimensional model of the blood vessel, based on the simulated optical path length within the blood vessel at the position in the first projection direction, intensity value at the corresponding position of the blood vessel in the first two-dimensional image and a relationship between intensity values at each position of a blood vessel in a two-dimensional image and optical path length at the corresponding position. This method considers the intensity values of two-dimensional images and can calibrate the three-dimensional model of blood vessels to improve the accuracy of three-dimensional models of blood vessels.