A whole body PET and CT combined detector and device, comprising a CT scanner frame (4) and a PET detection chamber (5) at the front and the rear along a common central axis. The CT scanner frame (4) is provided with a housing and also has a cylindrical CT scanning channel vertical to the central axis; the PET detection chamber (5) is formed by a plurality of PET detection modules (6, 7) adjacent to each other, and PET detection crystals (10) are all arranged in a direction towards to the chamber, the PET detection chamber (5) is entirely closed or a first opening is formed at the side adjacent to the CT scanner frame (4); each of the PET detection modules (6, 7) is composed of the PET detection crystals (10), a photoelectric sensor array (8), and a light guide (9); and except for the first opening, the cross-sectional areas of all gaps of the PET detection chamber (5) are smaller than the detected surface area of the smallest one of the PET detection crystals (10).

Optical sensors and optical markers are placed on components in a medical system to provide calibration and alignment, such as on a patient transportation mechanism and spatially separated medical diagnostic devices. Image processing circuitry uses the data captured by these optical devices to coordinate their movements and/or position. This enables scans that were captured in multiple medical diagnostic devices to be accurately aligned.

A system for constructing fluoroscopic-based three-dimensional volumetric data of a target area within a patient from two-dimensional fluoroscopic images including a structure of markers, a fluoroscopic imaging device configured to acquire a sequence of images of the target area and of the structure of markers, and a computing device. The computing device is configured to estimate a pose of the fluoroscopic imaging device for at least a plurality of images of the sequence of images based on detection of a possible and most probable projection of the structure of markers as a whole on each image of the plurality of images. The computing device is further configured to construct fluoroscopic-based three-dimensional volumetric data of the target area based on the estimated poses of the fluoroscopic imaging device.

According to one embodiment, an X-ray diagnostic apparatus includes processing circuitry. The processing circuitry is configured to acquire a two-dimensional first X-ray image based on X-ray imaging using a first continuous X-ray spectrum, and acquire a two-dimensional second X-ray image based on X-ray imaging using a second continuous X-ray spectrum different from the first continuous X-ray spectrum. Further, the processing circuitry is configured to generate a two-dimensional virtual third X-ray image that simulates an X-ray image using a third continuous X-ray spectrum different from the first continuous X-ray spectrum and the second continuous X-ray spectrum, based on the first X-ray image and the second X-ray image.

The present disclosure relates to a method and system for reducing radiation dose in image acquisition. The method may include obtaining first image data of a subject related to a first scan of the subject. The first scan may be of a first type of scan. The method may include reconstructing a first image of the subject based on the first image data and generating a dose plan of a second scan based on the first image. The second scan may be of a second type of scan. The method may also include obtaining second image data of the subject related to the second scan of the subject. The second scan may be performed according to the dose plan.

A method for the fluoroscopic registration in real time for placement of pedicle screws or the like during spinal surgery, comprising creating a lateral image in which a pedicle has appropriate anatomic contour and superior endplate, advancing a pin into the pedicle starting in the posterior cortex and moved far enough into the pedicle to anchor the pin, rotating the fluoroscopy to obtain an AP image of the pedicle which is moved to render the pin to be neutral in a cephalad to candad direction, and positioning a pedicle screw in the pedicle following 2D contour mapping generated by manual or automated templating.

The present disclosure is related to systems and methods for image reconstruction. The method may include obtaining at least one positron emission tomography (PET) image of a subject. The at least one PET image may be generated based on PET data acquired during an examination period. In the examination period, the subject may be injected with a tracer. The method may also include determining, based on the at least one PET image, an input function that reflects a concentration change of the tracer in the subject during the examination period. The method may further include generating a parametric image based on the input function and the at least one PET image according to a non-linear parametric estimation algorithm. The parametric image may reflect a kinetic parameter of the tracer in the subject.

In one embodiment, a medical image processing apparatus used for a treatment using a device includes a memory configured to store a volume data of an object; and processing circuitry configured to acquire positional information of the device, set, in an X-ray image generated by imaging an object using X-ray, a region on which a volume-based 2D image generated from the volume data is to be superimposed, based on the positional information of the device, and generate a superimposed image by superimposing the volume-based 2D image on the set region in the X-ray image.

The present application relates to a method for acquiring maximum principal strain or a maximum principal stress status of a vessel wall. The method includes: acquiring first vessel data of a first time phase corresponding to a vessel; acquiring second vessel data of a second time phase corresponding to the vessel; generating, based on the first vessel data, a first vessel model relating to the first time phase, generating a second vessel model relating to the second time phase based on the second vessel data; determining a region of interest in the first vessel model; determining the corresponding region of interest in the second vessel model; determining a reference point in the region of interest of the first vessel model; determining the corresponding reference point in the region of interest of the second vessel model; determining a displacement of the reference point from the first vessel model to the second vessel model; and determining a maximum principal strain or a maximum principal stress at the reference point based on the displacement of the reference point.

Systems and methods for integrating a three-dimensional X-ray computed tomography system with an independent sound wave system to determine mechanical properties of tissue using signals from the sound wave system. Methods are disclosed that generate a numerical simulation and take the transmitted wave signals as the optimization objective to estimate modulus distribution of the tissue. Further, the mechanical properties of the tissue are reconstructed based on an inverse algorithm.