Synergistic Integration of Multi-Frequency Harmonic Acoustography with Emerging Technologies

Publication ID: 24-11857373_0003_PTD

Published: October 28, 2025

Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Integration of Multi-Frequency Harmonic Acoustography with Emerging Technologies,” Published Technical Disclosure No. 24-11857373_0003_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857373_0003_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. 11,857,373.

Summary of the Inventive Concept

This inventive concept combines the patented multi-frequency harmonic acoustography technology with emerging technologies such as AI, IoT, blockchain, and advanced materials to create a more powerful system for target identification and border detection.

Background and Problem Solved

The original patent disclosed a method for performing multi-frequency harmonic acoustography for target identification and border detection within a target tissue. However, the patent had limitations in terms of real-time monitoring, data security, and material properties. The new inventive concept addresses these limitations by integrating the patented technology with other distinct technologies to create a more robust and efficient system.

Detailed Description of the Inventive Concept

The new system comprises a focused confocal transducer configured to emit ultrasonic waves at multiple frequencies, a compact hydrophone for detecting acoustic responses, and an artificial intelligence module for analyzing the detected responses and identifying target materials based on their viscoelastic properties. Additionally, the system can be integrated with IoT sensors for real-time target monitoring, a blockchain-based system for secure and transparent storage of acoustography data, and advanced materials with tunable mechanical properties for enhancing the viscoelastic properties of targets. The system can also be combined with computer vision for enhanced target detection.

Novelty and Inventive Step

The new claims introduce the integration of multi-frequency harmonic acoustography with AI, IoT, blockchain, and advanced materials, which is not obvious from the original patent. The inventive step lies in the synergistic combination of these technologies to create a more powerful system for target identification and border detection.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept include using different types of sensors or transducers, varying the frequency range of the ultrasonic waves, and integrating the system with other emerging technologies such as robotics or 5G networks.

Potential Commercial Applications and Market

The inventive concept has commercial potential in various industries such as healthcare, security, and materials science. The system can be used for real-time monitoring of tumors, detection of border intrusions, and characterization of materials with tunable mechanical properties.

CPC Classifications

Section	Class	Group
A	A61	A61B8/485
A	A61	A61B8/085
A	A61	A61B8/4494
B	B06	B06B1/0622
G	G01	G01S7/52038
G	G01	G01S15/8913
G	G01	G01S15/8922
G	G01	G01S15/8952
A	A61	A61B8/5207
G	G01	G01S7/5203

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Medical imaging and diagnostic ultrasound technologies, with expertise in multi-frequency acoustic imaging, signal processing, and advanced sensor design for tissue characterization

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical imaging specialist with advanced degrees in electrical engineering or biomedical engineering, experienced in ultrasound transducer design, signal processing algorithms, and interdisciplinary technology integration

Obviousness Rationale

A PHOSITA would recognize that integrating artificial intelligence, IoT sensors, and advanced data management technologies with multi-frequency harmonic acoustography represents a natural evolutionary progression of the source patent's core technology. The fundamental acoustic imaging principles established in US 11857373 provide a clear technical foundation for extending the method into more sophisticated, interconnected diagnostic systems. The proposed variations represent predictable combinations of known techniques within the medical imaging and sensor technology domains.

Obvious Combinations & Variations

Source Patent Element

Confocal transducer with multiple piezoelectric elements for emitting ultrasonic waves at different frequencies

PTD Variation

Adding an artificial intelligence module to analyze acoustic response data and identify material properties

Obviousness Reasoning

AI-based signal processing is a well-established technique in medical imaging for extracting advanced diagnostic insights from complex sensor data, representing a predictable technological enhancement

Source Patent Element

Hydrophone-based acoustic response detection within a transducer array

PTD Variation

Integrating IoT sensors for real-time environmental data collection and dynamic frequency adjustment

Obviousness Reasoning

Adaptive sensing techniques are common in medical imaging, and a PHOSITA would recognize IoT integration as a straightforward method for improving diagnostic precision

Source Patent Element

Target tissue border detection method using acoustic wave interactions

PTD Variation

Blockchain-based secure data storage and smart contract management for acoustography data

Obviousness Reasoning

Secure data management is a standard requirement in medical technologies, and blockchain represents a known technique for ensuring data integrity and controlled access

Source Patent Element

Identifying mechanical properties of tissue boundaries

PTD Variation

Using nanoparticle-enhanced material compositions to modify viscoelastic properties

Obviousness Reasoning

Material modification techniques are well-understood in medical imaging, and nanoparticle integration represents a predictable approach to enhancing diagnostic capabilities

Source Patent Element

Ultrasonic wave-based target identification method

PTD Variation

Combining acoustography with computer vision for comprehensive target detection

Obviousness Reasoning

Multi-modal sensing is a standard technique in advanced imaging systems, and integrating visual and acoustic data represents a logical and predictable technological progression

35 U.S.C. § 103 Summary: Based on the teachings of US 11857373 and the disclosed technological variations, a person of ordinary skill in the art would find the proposed system extensions obvious and lacking inventive step. The published technical disclosure demonstrates that the claimed innovations represent predictable combinations of known techniques in multi-frequency harmonic acoustography, artificial intelligence, and sensor technologies, thereby rendering potential patent claims obvious under 35 U.S.C. Section 103.

Original Patent Information

Patent Number	US 11,857,373
Title	Multi-frequency harmonic acoustography for target identification and border detection
Assignee(s)	The Regents of the University of California