Various methods and systems are provided for laser alignment systems, particularly laser alignment systems of medical imaging systems. In one example, a medical imaging system comprises: a gantry; and a laser mount including: a first section fixedly coupled to the gantry; a second section seated within the first section and slideable within the first section; and a third section seated within the second section and rotatable within the second section, the third section adapted to house a laser radiation source.

A medical image diagnosis apparatus according to an embodiment of the present disclosure includes: a gantry, one or more columns, a processing circuitry, and, and a supporting and moving mechanism. The gantry includes an imaging system related to imaging a patient. The one or more columns are each configured to support the gantry so as to be movable in a vertical direction. The processing circuitry generates an image on the basis of an output from the imaging system. The supporting and moving mechanism is configured to support the patient from underneath, while being installed so as to be movable in a direction intersecting the moving direction of the gantry. The processing circuitry controls the moving of the supporting and moving mechanism.

The invention relates generally to biopsy needle guidance which employs an x-ray/gamma image spatial co-registration methodology. A gamma camera is configured to mount on a biopsy needle gun platform to obtain a gamma image. More particular, the spatially co-registered x-ray and physiological images may be employed for needle guidance during biopsy. Moreover, functional images may be obtained from a gamma camera at various angles relative to a target site. Further, the invention also generally relates to a breast lesion localization method using opposed gamma camera images or dual opposed images. This dual head methodology may be used to compare the lesion signal in two opposed detector images and to calculate the Z coordinate (distance from one or both of the detectors) of the lesion.

A method, performed by a processor, for processing a blood vessel image from an angiography image may comprise the steps of: extracting a target blood vessel from a blood vessel image; identifying an error portion from the extraction result of the target blood vessel on the basis of at least one of blood vessel structure data related to the target blood vessel, curvature information of the target blood vessel, diameter information of the target blood vessel, and brightness information of the target blood vessel; and in response to a case where an error portion is identified in the target blood vessel, correcting the identified error portion.

The invention relates to a method to give an indication about the image quality of a digital image in comparison to what the expected image quality in terms of image content and technical image quality parameters would be for a similar exposure type. The method evaluates whether parameters of the acquired image such as noise and dynamic range match the expectations for the intended exposure type, and whether certain regions of interest are present and properly presented in the image.

The present disclosure provides a computed tomography apparatus and a method for capturing a tomographic image by the same. The device includes: a radiation source configured to emit X rays; a radiation source window; a baffle having a through-hole therein; a control module connected to the baffle via a drive device, configured to control a rotation center of a rotation arm of the apparatus according to a preset photographing condition to determine a photographing position to be captured, and to regulate the baffle via the drive device according to a position of a partial area of a target object when the photographing position is the partial area; and the area array detector configured to convert received X rays penetrating through the through-hole and the partial area to a projection image.

Various methods and systems are provided for medical imaging. In one embodiment, a method for a C-arm imaging system, comprises during an interventional procedure involving a medical device inserted within a segment of interest (SOI), angulating a C-arm of the C-arm imaging device based on a geometry of the SOI and a location of an extremity of the medical device.

A system includes a processor circuit that receives an extraluminal image obtained without contrast. The processor circuit receives multiple additional extraluminal images obtained without contrast as an intraluminal device is moved through a body lumen of a patient. The locations of the intraluminal device are tracked and used to form a curve. The curve is overlaid over one of the extraluminal images obtained without contrast. The curve and extraluminal image are displayed to a user and modified or confirmed. The intraluminal data points acquired by the intraluminal device are then co-registered to the extraluminal image. The extraluminal image and intraluminal data are displayed to the user.

Disclosed are a computing system and method for displaying medical images. The computing system includes a display, and a processor configured to control image information displayed on the display. The processor includes: a receiving unit configured to receive a medical image of a region of interest (ROI) and to acquire three-dimensional (3D) volume information including segmentation information regarding the ROI of the medical image; a display information generation unit configured to acquire 3D mesh information corresponding to the ROI, and to generate display information in which the 3D mesh information has been overlaid on the 3D volume information in a 3D space including the 3D volume information; and a user interface control unit configured to provide a user menu so that a user can edit the 3D mesh information in the 3D space.

The present invention relates to a method and apparatus of utilizing an eye detection apparatus in a medical application, which includes calibrating the eye detection apparatus to a user; performing a predetermined set of visual and cognitive steps using the eye detection apparatus; determining a visual profile of a workflow of the user; creating a user-specific database to create an automated visual display protocol of the workflow; storing eye-tracking commands for individual user navigation and computer interactions; storing context-specific medical application eye-tracking commands, in a database; performing the medical application using the eye-tracking commands; and storing eye-tracking data and results of an analysis of data from performance of the medical application, in the database. The method includes performing an analysis of the database for determining best practice guidelines based on clinical outcome measures.