Enhanced Concurrent MRSI and fMRI with Adaptive Gradient Encoding and Machine Learning

An improved system and method for concurrent Magnetic Resonance Spectroscopic Imaging (MRSI) and functional Magnetic Resonance Imaging (fMRI) that reduces scan times, enhances signal-to-noise ratio, and enables real-time data analysis and visualization.

The original patent for concurrent MRSI and fMRI faces limitations of lengthy scan times, which can lead to patient discomfort, motion artifacts, and decreased diagnostic accuracy. The new inventive concept addresses these limitations by introducing novel adaptive gradient encoding schemes, spatial-spectral water excitation RF pulses, and machine learning algorithms to improve the efficiency and accuracy of concurrent MRSI and fMRI.

The enhanced system and method comprise a modified water readout module with an adaptive gradient encoding scheme that optimizes scan times. The water suppression module is further modified to incorporate a spatial-spectral water excitation RF pulse that pre-localizes the water signal within a slice or a slab. Additionally, the system includes a machine learning algorithm for quantifying metabolite concentrations based on the metabolite signals and the water MRSI image. The fMRI image is used to measure task-based activation and resting-state connectivity simultaneously, and the system features a module for real-time data analysis and visualization. The inventive concept also encompasses a novel water signal amplification technique that enhances the signal-to-noise ratio of the water MRSI image, and a single-shot MRSI data acquisition with automatic correction of motion artifacts.

The new claims introduce novel adaptive gradient encoding schemes, spatial-spectral water excitation RF pulses, machine learning algorithms, and water signal amplification techniques that significantly improve the efficiency and accuracy of concurrent MRSI and fMRI. These advancements are non-obvious and provide a substantial improvement over the original patent.

Alternative embodiments of the inventive concept could include using different machine learning algorithms, modifying the spatial-spectral water excitation RF pulse for different applications, or integrating the system with other imaging modalities. Variations of the inventive concept could also include adapting the system for use in different anatomical regions or for different diseases.

The enhanced concurrent MRSI and fMRI system has significant commercial potential in the medical imaging industry, particularly in the fields of neurology, oncology, and cardiology. The system's ability to provide fast, accurate, and comprehensive diagnostic information could lead to improved patient outcomes and reduced healthcare costs.