3 results about "High resolution nmr" patented technology

The invention discloses a super-resolution reconstruction method based on a low-resolution nuclear magnetic resonance image, and belongs to the technical field of medical image processing, and the method comprises the following steps: firstly, inputting a high-resolution nuclear magnetic resonance image into a data preprocessing module for simulating a low-resolution image; secondly, inputting the preprocessed nuclear magnetic resonance image into an interpolation up-sampling module, and adjusting the size and the resolution of the preprocessed nuclear magnetic resonance image to be consistent with those of a high-definition image; and inputting the up-sampled low-resolution image into a three-dimensional convolutional neural network model based on a residual module, and realizing accurate prediction of each voxel intensity of the high-resolution nuclear magnetic resonance image in combination with a feature encoder, a feature decoder and a regression head. The method has the advantages that distribution characteristics of clinical low-definition MRI are better adapted, MRI data with non-fixed axial resolution are effectively processed, and the model can reconstruct high-frequency details of the skull and the face while restoring details of an anatomical structure of a brain region.

The application discloses a super-resolution reconstruction method based on low-resolution nuclear magnetic resonance images and belongs to the technical field of medical image processing, and comprises the following steps: firstly, high-resolution nuclear magnetic resonance images are input into a data preprocessing module for simulating low-resolution images; secondly, the preprocessed nuclear magnetic resonance images are input into an interpolation upsampling module to adjust the size and resolution of the images to be consistent with those of high-definition images; and then the upsampled low-resolution images are input into a three-dimensional convolutional neural network model based on a residual module, and a feature encoder, a feature decoder and a regression head are combined to realize accurate prediction of the intensity of each voxel of the high-resolution nuclear magnetic resonance images. The application has the beneficial effect that it better adapts to the distribution characteristics of clinical low-definition MRI, effectively processes MRI data with non-fixed axial resolution, and the model can recover the details of the anatomical structure of the brain region and also reconstruct the high-frequency details of the skull and face.

The application discloses a rock sample water vapor calibration method and device, electronic equipment and readable medium. The method comprises the following steps: calibrating the first water content in the core of the rock sample after conventional core treatment; taking out the core and placing it in a core holder, opening the thermostat to heat to a preset temperature, and checking the process airtightness; performing constant-speed or constant-pressure water drive, determining the permeability after the pressure or flow rate is stable, performing nuclear magnetic detection, and calibrating the second water content; determining the water vapor content of the core according to the first water content and the second water content; repeating the calibration of the second water content and the first water content to determine a plurality of water vapor contents, and completing the calibration when the plurality of water vapor contents meet the preset condition. The application realizes the determination of the water vapor of the rock sample under different temperature conditions based on the high-resolution nuclear magnetic resonance technology of the rock sample, and promotes the further development of the indoor core basic experiment.