Intelligent Concurrent MRSI and fMRI System

Publication ID: 24-11857306_0008_PTD

Published: November 07, 2025

Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Intelligent Concurrent MRSI and fMRI System,” Published Technical Disclosure No. 24-11857306_0008_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857306_0008_PTD

This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,306.

Summary of the Inventive Concept

A novel system integrating Magnetic Resonance Spectroscopic Imaging (MRSI) and functional Magnetic Resonance Imaging (fMRI) with AI, IoT, blockchain, nanomaterials, quantum computing, and 5G technologies to provide a comprehensive brain health assessment, accurate diagnosis, and real-time analysis.

Background and Problem Solved

The original patent, 'Concurrent MRSI and fMRI', addressed the limitation of long scan times in MRSI and fMRI data acquisition. However, the new inventive concept tackles the additional challenges of data processing, storage, and transmission, as well as the need for accurate diagnosis and real-time analysis, by synergistically combining MRSI and fMRI with emerging technologies.

Detailed Description of the Inventive Concept

The Intelligent Concurrent MRSI and fMRI System comprises an MRI scanner, an AI-driven image processing module, a blockchain-based data storage system, IoT-enabled sensors, a nanomaterial-based contrast agent, a computer-aided diagnosis module, a quantum computing-based algorithm, and a 5G-enabled data transmission module. The AI-driven image processing module integrates MRSI and fMRI data to provide a comprehensive brain health assessment. The blockchain-based data storage system ensures secure and decentralized data management. The IoT-enabled sensors track brain activity, and the machine learning algorithms identify patterns indicative of brain disorders. The nanomaterial-based contrast agent enhances MRSI and fMRI signal quality. The computer-aided diagnosis module provides an accurate diagnosis of brain disorders. The quantum computing-based algorithm accelerates MRSI and fMRI data processing, providing high-resolution images of brain activity. The 5G-enabled data transmission module enables rapid data transmission, and the cloud-based data analytics platform provides real-time analysis of MRSI and fMRI data.

Novelty and Inventive Step

The new claims introduce the novel combination of MRSI and fMRI with AI, IoT, blockchain, nanomaterials, quantum computing, and 5G technologies, which is non-obvious and provides a significant improvement over the original patent. The synergistic integration of these technologies enables a comprehensive brain health assessment, accurate diagnosis, and real-time analysis, which is not achievable by the original patent alone.

Alternative Embodiments and Variations

Alternative embodiments of the Intelligent Concurrent MRSI and fMRI System could include using different AI algorithms, varying the type of IoT-enabled sensors, or incorporating other emerging technologies such as augmented reality or biometrics. Variations of the system could be tailored to specific applications, such as sports medicine or neurosurgical planning.

Potential Commercial Applications and Market

The Intelligent Concurrent MRSI and fMRI System has significant commercial potential in the healthcare industry, particularly in neuroimaging, neurology, and psychiatry. The system could be marketed to hospitals, research institutions, and pharmaceutical companies, and could also be used in sports medicine, neurosurgical planning, and other fields.

Section 103 Obviousness Analysis (PHOSITA)

▼

Field of Art

Medical Imaging and Diagnostic Technologies, specifically Magnetic Resonance Imaging (MRI) techniques with expertise in spectroscopic and functional neuroimaging

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical imaging specialist with advanced knowledge of MRI technologies, signal processing, computational methods, and interdisciplinary medical diagnostic techniques

Obviousness Rationale

A PHOSITA would recognize that integrating advanced computational and communication technologies with existing MRSI and fMRI techniques represents a natural progression of medical imaging innovation. The proposed variations leverage well-established technological domains to enhance existing imaging methodologies. The incremental improvements in data processing, transmission, and analysis would be considered predictable extensions of known medical imaging research strategies.

Obvious Combinations & Variations

Source Patent Element

Concurrent MRSI and fMRI data acquisition method

PTD Variation

AI-driven image processing module for integrated data analysis

Obviousness Reasoning

Applying machine learning to medical imaging is a known technique with predictable results in enhancing diagnostic capabilities. A PHOSITA would recognize AI as a standard approach for complex signal processing and pattern recognition in medical imaging

Source Patent Element

MRI scanner for brain imaging

PTD Variation

Nanomaterial-based contrast agent to enhance signal quality

Obviousness Reasoning

Improving imaging contrast through advanced materials is a standard research approach. A PHOSITA would understand that nanomaterials represent a logical progression in developing more sophisticated imaging enhancement techniques

Source Patent Element

Metabolite and functional brain imaging

PTD Variation

Quantum computing-based algorithm for accelerated data processing

Obviousness Reasoning

Applying advanced computational methods to medical imaging is an obvious extension of existing technological capabilities. A PHOSITA would recognize quantum computing as a natural evolution in handling complex computational challenges

Source Patent Element

Brain imaging data acquisition

PTD Variation

Blockchain-based secure data storage and IoT-enabled sensor integration

Obviousness Reasoning

Implementing secure, distributed data management and sensor networks represents a predictable technological enhancement in medical diagnostic systems. A PHOSITA would view these as standard approaches to improving data reliability and collection

Source Patent Element

MRI data collection methodology

PTD Variation

5G-enabled rapid data transmission and cloud-based analytics platform

Obviousness Reasoning

Leveraging high-speed communication networks for medical data transmission is a known and expected technological progression. A PHOSITA would consider this an obvious improvement in medical imaging data management

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857306 for concurrent MRSI and fMRI techniques, the present publication demonstrates that the proposed technological variations represent obvious extensions of existing medical imaging methodologies. A person having ordinary skill in the art would recognize these incremental improvements as predictable combinations of known techniques, thereby rendering potential derivative claims obvious and unpatentable under 35 U.S.C. § 103.

Original Patent Information

Patent Number	US 11,857,306
Title	Concurrent MRSI and fMRI
Assignee(s)	UNM RAINFOREST INNOVATIONS