Applying High-Density Element Suppression to Diverse Industries

Publication ID: 24-11857358_0002_PTD

Published: October 28, 2025

Category:New Applications & Use Cases

Legal Citation

pr1or.art Inc., “Applying High-Density Element Suppression to Diverse Industries,” Published Technical Disclosure No. 24-11857358_0002_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857358_0002_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. 11,857,358.

Summary of the Inventive Concept

This inventive concept leverages the core technology of high-density element suppression to tackle novel applications in agriculture, dentistry, marine biology, urban planning, and climate monitoring.

Background and Problem Solved

The original patent addressed the issue of high-density elements obstructing breast imaging. However, this limitation can be overcome by applying the same technology to other fields, where high-density elements hinder image analysis and interpretation. This inventive concept solves the problem of inefficient image processing in diverse industries.

Detailed Description of the Inventive Concept

The inventive concept comprises a high-density element suppression module, a synthetic image generator, and a machine learning model. In agriculture, the module filters out soil and rock features from aerial images, enabling accurate crop growth monitoring. In dentistry, high-density elements are suppressed from dental X-ray images to create personalized 3D models of dental structures. Similarly, the technology is applied to marine biology, urban planning, and climate monitoring, respectively, to generate detailed images and predict outcomes.

Novelty and Inventive Step

The new claims introduce an unprecedented application of high-density element suppression to diverse industries, demonstrating a non-obvious extension of the original patent's core technology.

Alternative Embodiments and Variations

Alternative embodiments include using the high-density element suppression module in conjunction with other image processing techniques, such as edge detection or segmentation. Variations of the inventive concept could involve integrating the technology with existing software platforms or developing new hardware components.

Potential Commercial Applications and Market

This inventive concept has significant commercial potential in various industries, including agriculture, healthcare, environmental monitoring, and urban planning. The technology can be licensed to companies operating in these fields, enabling them to improve their image analysis capabilities and make data-driven decisions.

CPC Classifications

Section	Class	Group
A	A61	A61B6/5258
A	A61	A61B6/461
A	A61	A61B6/502
G	G06	G06T11/008
G	G06	G06T2207/10116
G	G06	G06T2207/30068

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Medical imaging and computational image processing, specifically focused on advanced radiological techniques involving synthetic image generation, high-density element manipulation, and machine learning-enhanced image analysis across multiple imaging modalities

Person of Ordinary Skill (PHOSITA) Profile

A professional with advanced training in medical imaging, computer vision, and signal processing, possessing expertise in digital radiography, machine learning algorithms, and computational image reconstruction techniques, typically holding a PhD or equivalent professional experience in biomedical engineering or medical imaging

Obviousness Rationale

The published technical disclosure represents a predictable extension of the source patent's core technology by applying high-density element suppression techniques to diverse imaging domains. A person having ordinary skill would recognize the fundamental image processing methodology as transferable across different imaging contexts, with machine learning and synthetic image generation serving as well-established techniques for adapting core image processing algorithms. The variations demonstrate systematic application of known computational imaging principles to novel domains, utilizing substantially identical technical approaches as disclosed in the original patent.

Obvious Combinations & Variations

Source Patent Element

Image processing method for suppressing high-density elements in breast tissue imaging

PTD Variation

Applying high-density element suppression to agricultural aerial imaging for crop monitoring

Obviousness Reasoning

Predictable transfer of image filtering techniques across domains, with machine learning providing adaptive implementation mechanism

Source Patent Element

Synthetic image generation using 3D slice reconstruction techniques

PTD Variation

Creating 3D models of dental structures by suppressing high-density background elements

Obviousness Reasoning

Known technique of applying computational image reconstruction to generate synthetic representations in medical imaging

Source Patent Element

X-ray image acquisition and processing methodology

PTD Variation

Extending image processing to marine biology and climate monitoring using similar computational frameworks

Obviousness Reasoning

Systematic application of established image processing pipeline to alternative scientific domains

Source Patent Element

Machine learning enhanced image processing techniques

PTD Variation

Integrating predictive models for crop yield, marine population, and urban planning scenarios

Obviousness Reasoning

Routine implementation of machine learning for predictive analysis using standard computational approaches

Source Patent Element

High-density element suppression algorithm

PTD Variation

Adapting suppression technique to filter geological and environmental background features

Obviousness Reasoning

Obvious design choice to generalize image processing algorithm across different imaging contexts

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857358 and the published technical disclosure, a person having ordinary skill in medical imaging and computational processing would find the disclosed variations obvious, as they represent predictable applications of established image processing methodologies using well-known machine learning and synthetic image generation techniques. The systematic extension of high-density element suppression across diverse imaging domains constitutes prima facie obviousness under 35 U.S.C. § 103, rendering potential patent claims in these areas unpatentable as a matter of law.

Original Patent Information

Patent Number	US 11,857,358
Title	System and method for synthetic breast tissue image generation by high density element suppression
Assignee(s)	Hologic, Inc.