Patent classifications
A61B6/566
RADIATION IMAGING APPARATUS, RADIATION IMAGING SYSTEM, METHOD OF CONTROLLING RADIATION IMAGING APPARATUS, AND COMPUTER READABLE STORAGE MEDIUM THEREFOR
An imaging control unit in a radiation imaging apparatus causes imaging in a plurality of modes varying in a setting value, and causes standby driving to reduce signals stored in a plurality of pixels during a period in which the plurality of pixels is not irradiated with radiation. The plurality of modes includes a first mode for first imaging using a first setting value and a second mode for second imaging using a second setting value different from the first setting value after the first imaging. The imaging control unit causes the standby driving using a setting value closer to the second setting value than to the first setting value in response to end of the first imaging in causing the second imaging.
MEDICAL SYSTEM, MEDICAL IMAGE DIAGNOSIS APPARATUS AND TERMINAL DEVICE
A medical system according to an embodiment is a system in which at least one medical image diagnosis apparatus and a server are connected via a network and the medical system includes a storage circuit, a processing circuit, and a display circuit. The storage circuit stores information on examinations that are performed by the at least one medical image diagnosis apparatus. The processing circuit generates proposal information based on information on the examinations. The display circuit displays the proposal information.
Maskless 2D/3D Artificial Subtraction Angiography
During catheter-based angiography, the bone and soft tissues degrade visualization of the vasculature, which is of primary interest in such medical imaging procedures. The present disclosure includes systems and methods utilizing a trained neural network to remove the bone and soft tissue densities from post-contrast images, revealing isolated vascular densities, without the need for a standard pre-injection digital mask and in the setting of patient motion. The final angiographic images may be created in real-time. Systems and methods for the training and optimization of the disclosed neural network are also described.
Medical imaging apparatus, medical imaging apparatus control method, and computer program product
Provided is a medical imaging apparatus including a storage configured to store training data and an optimization coefficient; at least one processor configured to identify at least one image feature value from an input medical image, and to identify a value of at least one parameter of the medical imaging apparatus, based on the at least one image feature value and the optimization coefficient, by using a neural network processor; an output interface configured to output a resultant image generated based on the value of the at least one parameter; and an input interface configured to receive a first control input of adjusting the value of the at least one parameter, wherein the at least one processor is further configured to update the optimization coefficient by performing training using the training data and the first control input.
System and method for fusing three dimensional image data from a plurality of different imaging systems for use in diagnostic imaging
A multi-modality cancer screening and diagnosis system is provided that allows cancer screening and diagnosis of a patient using at least two different and sequential three-dimensional imaging techniques without patient repositioning. The system includes a first three-dimensional image acquisition device, a second three-dimensional image acquisition device having a probe with a transmitter mounted thereon, and a positioning paddle for positioning and immobilizing an object to be imaged during the cancer screening and diagnosis procedure. The positioning paddle is designed to facilitate visualization of the breast in both three-dimensional modalities without movement of the patient, and preferably is designed to position the patient with comfort during a diagnosis procedure which uses both imaging modalities.
METHOD AND PRODUCT FOR AI RECOGNIZING OF EMBOLISM BASED ON VRDS 4D MEDICAL IMAGES
A method and a product for AI recognizing of embolism based on VRDS 4D medical image, the method is applied to a medical imaging apparatus, and the method includes the following steps: determining a bitmap (BMP) data source according to a plurality of scanned images of a target site of a target user, wherein the target site includes an embolism formed on a wall of a target blood vessel; generating target medical image data according to the BMP data source; performing 4D medical imaging according to the target medical image data and determining a feature attribute of the embolism according to an imaging result, wherein the feature attribute includes at least one of the following: density, crawling direction, correspondence with a site of cancer focus and edge characteristics; and determining a type of the embolism according to the features and outputting the type.
Handheld surgical devices with tactile operable controls
Disclosed are devices, systems and methods for providing sterile and cost-affordable handheld surgical devices with tactile operable controls. In some aspects, a surgical device includes a surgical probe including a probe detector and a set of operable controls; an exterior shell casing including an opening at one end leading to an interior cavity structured to have a size and shape to fit the surgical probe within and position the probe detector in a first region and a handle of the surgical probe in a second region, in which the first region of the exterior shell casing is configured to be inserted into an incision of a patient's body and the second region is configured to provide a user of the surgical device utilization of the operable controls of the surgical probe through the exterior shell casing; and a cap attachable to the exterior shell casing to close the opening.
Radiographic image processing apparatus, radiographic image processing method, and storage medium
A radiographic image processing apparatus includes a hardware processor and an image processor. The hardware processor obtains moving image data captured by a radiographic imaging apparatus, causes a display to display a moving image based on the moving image data, and specifies a part of the moving image data that is to be output to an external device. The image processor performs image processing on the part of the moving image data. The hardware processor outputs, to the external device, the part of the moving image data on which the image processing has been performed by the image processor.
RADIATION SYSTEMS FOR RADITION TREATMENT AND IMAGING
A radiation system is provided. The radiation system may include a bore accommodating an object, a rotary ring, a first radiation source and a second radiation source mounted on the rotary ring and a processor. The first radiation source may be configured to emit a first cone beam toward a first region of the object. The second radiation source may be configured to emit a second beam toward a second region of the object, the second region including at least a part of the first region. The processor may be configured to obtain a treatment plan of the object, the treatment plan including parameters associated with radiation segments. The processor may be further configured to control an emission of the first cone beam and/or the second beam based on the parameters associated with the radiation segments to perform a treatment and a 3-D imaging simultaneously.
System and Method for Optimizing Nuclear Imaging Appropriateness Decisions
Methods and systems of accelerating the adoption of a medical treatment by healthcare providers are disclosed. The methods include providing to a healthcare provider a set of selectable criteria for determining whether a specific medical treatment is indicated for a particular patient, analyzing the criteria selected, and indicating to the healthcare provider whether the medical treatment is indicated. A system and methods are provided which are suitable for optimizing the use of nuclear imaging for assessing risks of cardiovascular disorders and, when appropriate, for implementing intervention strategies to reduce such risks.