Abstract: A method and an apparatus for scanning with a lowered dose are provided. The method includes: determining a dynamic changing model of a prepatient collimator according to a rotation angle of a tube in a scanning mode; in a case that the scanning mode is a normal scan, controlling an opening angle of the prepatient collimator according to the dynamic changing model of the prepatient collimator at an initial stage and an end stage of the normal scan; and in a case that the scanning mode is a scan with phase control, controlling an opening angle of the prepatient collimator according to the dynamic changing model of the prepatient collimator at an initial stage and an end stage of a phase of the scan with phase control.

Abstract: A scanning system and an image display method are provided, the method including: implementing a scanning process to obtain scanning data; converting the scanning data into image data; implementing an identification process and a segmentation process to the image data to obtain position and direction information of an interventional device; and calculating a first set of imaging parameters corresponding to a first image display mode based on the obtained position and direction information of the interventional device, and implementing real-time image display based on the first set of imaging parameters. Position and direction of interventional devices may be determined accurately. Further, multiple display modes are available, which may provide an accurate and full range image display.

Abstract: A method and a device for tracking a contrast medium by scanning are provided. The method includes: obtaining a relationship between a contrast medium concentration and time according to concentration values of the contrast medium obtained by previous scannings; predicting a time interval from a current time point to a time point when a target concentration value reaches according to the relationship between the contrast medium concentration and time; and starting a routine examination at the end of the time interval. In the present disclosure, a routine examination may be performed in time.

Abstract: A scanning method and device are provided. The method includes: determining values for a first scanning dosage and a second scanning dosage used in a scanning process based on a trigger condition which varies regularly and attenuation fluctuations of an object to be scanned, wherein the first scanning dosage is higher than the second scanning dosage, and at least one of the first scanning dosage and the second scanning dosage has an inconstant value; and scanning a target position with the determined values. In the present disclosure, a scanning dosage may be reduced and different image noises may be kept consistent.

Abstract: Image reconstruction method and device for tilted helical scan are provided. The method includes: acquiring data generated by the tilted helical scan; calculating a ray channel parameter and a slice number corresponding to each pixel position based on a geometric relationship that a ray of the tilted helical scan emitting from a ray source to a detector intersects with a pixel; and performing image reconstruction by using a three-dimensional helical back-projection method based on the acquired data, and the ray channel parameter and the slice number corresponding to each pixel position. With the method and device, there is no need to correct the raw data, which ensures the accuracy of the data, and the artifact is avoided, which ensures the accuracy of the reconstructed image.

Abstract: A method and apparatus of image compensation are provided. The method may include: calculating an overlapping position between two adjacent scannings; obtaining two images at the overlapping position of the two adjacent scannings, and calculating mutual information of the two images by using a three dimensional non-rigid registration method; and acquiring a corresponding transformational matrix when the mutual information reaches a threshold, and compensating one of the two scans which needs to be compensated by using the transformational matrix. Images at the overlapping position of two neighboring scannings can be used to find a motion law at an identical z position of the two adjacent scannings and to obtain a corresponding match factor. Thus inconsistence of images caused by a patient's movement can be compensated.

Abstract: A CT pilot image acquisition method and a CT device are provided. The method may include: performing a helical scan on a predetermined area to be scanned, so as to obtain scanning data; reconstructing a tomographic image based on the scanning data; performing, at a predetermined positioning angle, a parallel beam projection on the tomographic image by using a virtual parallel X-ray beam, so as to obtain projection data; and re-binning a CT pilot image at the predetermined positioning angle based on the projection data. Parallel beam projection is adopted to process the tomographic image, to obtain a pilot image without geometric distortions. The obtained pilot image can reflect an anatomical structure of human body accurately.

Abstract: A method and apparatus of image position compensation are provided. The method may include: measuring an actual height at Z position and a corresponding drop offset of a scanning table; adjusting, according to the drop offset of the scanning table, a vertical coordinate of an image center in the process of post-reconstruction, so as to obtain an adjusted image; and performing an interpolation process on coordinate information and pixel values of a row in the adjusted image, to obtain pixel values of a row in a target image. The target image is an image which has been processed by position compensation. According to the present disclosure, an image generated by a CT apparatus can be compensated to obtain a correct tomographic image and provide accurate image information for medical diagnosis.

Abstract: A method for sharing medical image data based on a cloud platform, a cloud platform and a system are disclosed. The cloud platform is connected to at least one medical imaging device. The method includes: receiving a medical image and/or scan data transmitted from the at least one medical imaging device; and storing, on the cloud platform, the medical image and/or scan data from the at least one medical imaging device.

Abstract: A method for collecting multi-energy CT data is provided. A method of reconstruction from multi-energy CT scan is further provided, in which data collection is performed on the first-class object at voltage values of m sampling points of the first-class voltage varied periodically, to obtain n sets of multi-energy first-class scan data {1}; and a data collection is performed on a double-cylinder correction phantom at the voltage values of m sampling points to obtain combination coefficients, and thus obtaining corresponding combination coefficients Cfirsti and Csecondi corresponding to the case that the first-class scan data is collected in the ith projection angle at the first-class voltage; and the image vectors Xfirst and Xsecond are obtained by calculating a minimum value of the difference between the first-class scan data {yi} and the combination projection data CfirstiPi*Xfirst+Csecondi*Xsecond.

Abstract: A method of CT beam hardening calibration comprises: the step of obtaining raw data of a first phantom and a second phantom by scanning the first phantom and the second phantom respectively; the step of calculating a first filter material length and a second filter material length according to one ore more spectrum function and the raw data of the first phantom as well as the second phantom; the step of adjusting said spectrum function to make the first filter material length and the second filter material length agree with predefined conditions; the step of calculating a beam hardening curve according to the adjusted spectrum function and the first filter material length as well as the second filter material length met with the predefined conditions; and the step of processing the raw data by the calculated beam hardening curve to eliminate beam hardening effects.

Abstract: A method of CT beam hardening calibration comprises: the step of obtaining raw data of a first phantom and a second phantom by scanning the first phantom and the second phantom respectively; the step of calculating a first filter material length and a second filter material length according to one ore more spectrum function and the raw data of the first phantom as well as the second phantom; the step of adjusting said spectrum function to make the first filter material length and the second filter material length agree with predefined conditions; the step of calculating a beam hardening curve according to the adjusted spectrum function and the first filter material length as well as the second filter material length met with the predefined conditions; and the step of processing the raw data by the calculated beam hardening curve to eliminate beam hardening effects.