ASL MRI Fluid Bolus Encoding for Earlier Perfusion Data

The patent applies preliminary action by performing MR measurements with different labeling strategies (labeling vs. non-labeling) in advance and storing the raw data. The evaluation unit then processes subsets of this pre-acquired data to generate combination MR data at different time points without requiring complete data acquisition, thereby reducing examination time while maintaining measurement precision through the use of pre-collected high-quality data.

The patent implements partial action by enabling the generation of diagnostically useful combination MR data from subsets of the complete measurement data set. The evaluation unit can produce reliable MR data at intermediate time points using only a portion of the acquired measurements, allowing early termination of examinations when sufficient diagnostic information is obtained, thus reducing time loss while maintaining reliability.

The patent applies dynamics by implementing a flexible data processing architecture where the evaluation unit can dynamically select and process subsets of first MR data based on diagnostic needs. The system transitions from static complete-data processing to dynamic partial-data processing, allowing operators to easily obtain MR data at different time points without waiting for complete data acquisition, thereby improving ease of operation while maintaining precision through selective use of high-quality measurements.

The patent implements segmentation by dividing the complete set of first MR data into multiple subsets that can be independently processed. The evaluation unit processes different combinations of these data subsets to generate combination MR data at various time points, enabling parallel processing and early diagnosis. This segmentation allows diagnostic information to be extracted from partial data sets, increasing examination throughput and productivity while maintaining measurement precision through the use of multiple independent measurements.