Abstract: Abdomen scanning techniques are disclosed. The techniques include acquiring a current abdomen positioning image; inputting the current abdomen positioning image into a pre-trained liver outline acquisition model, and obtaining current liver outline information outputted by the liver outline acquisition model; the liver outline acquisition model being obtained by training, using a first quantity of historical abdomen positioning images as an input set, and using a first quantity of historical liver outline information respectively corresponding to the first quantity of historical abdomen positioning images as an output set; based on the current liver outline information, calculating an abdomen scanning range and a scanning center position, and applying the scanning range and scanning center position in a current scanning protocol; and using the scanning protocol to perform a magnetic resonance scan of an abdomen.

Abstract: Techniques are disclosed for operating a medical imaging system to obtain frames of initial scanned images of a cross section of a scanned site of interest at different times in a first cycle; compare the frames to identify a plurality of blood vessel locations in the frames; calculate, according to the signal strengths of the frames at the plurality of blood vessel locations, a trigger time for triggering the scanning of the medical imaging system in a second cycle; combining the plurality of frames to determine a scanning range for operating the medical imaging system to scan the site of interest during the second cycle; and generating, according to the trigger time and the scanning range, a blood vessel imaged image of the site of interest during the second cycle.

Abstract: In an MRI method and apparatus a 3D magnetic resonance scan sequence is performed to acquire MR raw data, which are entered into k-space with 2D CAIPIRINHA undersampling. The sampled data are reorganized into data blocks that each contain one sampled k-space location. The data blocks are extracted from k-space in a predetermined sequence, and image data are reconstructed from the k-space data respectively in the extracted data blocks. The application of the 2D CAIPIRINHA undersampling method with corresponding reorganized data blocks into a 3D scan sequence, in particular a SPACE scan sequence, significantly improves the comfort of an examination subject as well as the overall image quality thereof.

Abstract: In an MRI method and apparatus a 3D magnetic resonance scan sequence is performed to acquire multiple k-space data. A 2D CAIPIRINHA undersampling method is used on the k-space data to extract multiple sampling data. The sampling data are used to reconstruct a magnetic resonance image. The application of the 2D CAIPIRINHA undersampling method with corresponding reorganized “data blocks” to a 3D scan sequence, in particular a SPACE scan sequence, significantly improves the comfort of an examination subject as well as the overall image quality thereof.