Adaptive High-Density Element Suppression for Diverse Industries

Publication ID: 24-11857358_0007_PTD
Published: October 28, 2025
Category:New Applications & Use Cases

Legal Citation

pr1or.art Inc., “Adaptive High-Density Element Suppression for Diverse Industries,” Published Technical Disclosure No. 24-11857358_0007_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857358_0007_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

The inventive concept leverages the core technology of high-density element suppression to tackle novel applications in agriculture, materials science, healthcare, infrastructure monitoring, and additive manufacturing.

Background and Problem Solved

The original patent addressed the challenge of high-density element suppression in breast imaging. However, the limitations of the original approach restricted its applicability to other fields. The new inventive concept overcomes these limitations by adapting the technology to various industries, enabling the removal of unwanted features, detection of defects, and prediction of outcomes.

Detailed Description of the Inventive Concept

The inventive concept comprises a modular system consisting of a high-density element suppression module, a 3D image reconstruction module, and a machine learning module. This system can be applied to diverse industries, such as monitoring agricultural crop health, detecting defects in composite materials, generating personalized 3D models of organs for surgical planning, monitoring infrastructure health, and detecting anomalies in additive manufacturing processes.

Novelty and Inventive Step

The new inventive concept introduces a novel application of high-density element suppression to diverse industries, extending its utility beyond breast imaging. The inventive step lies in the adaptation of the core technology to address unique challenges in each industry, demonstrating a non-obvious and innovative approach.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept may include varying the type of image data used, integrating additional sensors or data sources, or utilizing different machine learning algorithms. Variations may also involve applying the technology to other industries, such as quality control in manufacturing or environmental monitoring.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in various industries, including agriculture, materials science, healthcare, infrastructure monitoring, and additive manufacturing. The market for these applications is substantial, with potential users ranging from farmers to medical professionals, infrastructure managers, and manufacturers.

CPC Classifications

SectionClassGroup
A A61 A61B6/5258
A A61 A61B6/461
A A61 A61B6/502
G G06 G06T11/008
G G06 G06T2207/10116
G G06 G06T2207/30068

Field of Art

Medical imaging, computer vision, and image processing technologies with expertise in 3D reconstruction, high-density element suppression, and machine learning-assisted image analysis across multiple domains

Person of Ordinary Skill (PHOSITA) Profile

A skilled professional with advanced degrees in biomedical engineering, computer science, or medical imaging, possessing expertise in image processing algorithms, machine learning techniques, and cross-domain technological adaptation

Obviousness Rationale

The PTD demonstrates a straightforward extension of the source patent's core high-density element suppression technology by applying its fundamental image processing principles to diverse industrial contexts. A PHOSITA would recognize the modular nature of the image processing technique and understand its potential for broad technological transfer. The systematic approach of suppressing unwanted features, reconstructing 3D models, and applying machine learning is directly derived from the source patent's methodology.

Obvious Combinations & Variations

Source Patent Element
3D image slice generation method for processing breast tissue images
PTD Variation
Applying identical 3D reconstruction methodology to agricultural crop imaging
Obviousness Reasoning
Known technique of transferring image processing algorithms between domains with predictable results, representing a standard engineering design choice
Source Patent Element
High-density element suppression technique for mammographic imaging
PTD Variation
Extending suppression algorithm to detect defects in composite materials
Obviousness Reasoning
Predictable application of signal processing technique to remove noise and enhance structural analysis across different imaging domains
Source Patent Element
X-ray image acquisition and processing method
PTD Variation
Adapting image acquisition principles to infrastructure health monitoring
Obviousness Reasoning
Routine technological translation using well-established image processing principles with expected systematic outcomes
Source Patent Element
Machine learning integration for image enhancement
PTD Variation
Implementing machine learning modules for predictive analysis in additive manufacturing
Obviousness Reasoning
Standard engineering approach of applying machine learning techniques to improve image-based decision making across technological domains
Source Patent Element
Digital image processing system with multi-angle image acquisition
PTD Variation
Generalizing multi-angle imaging approach for personalized organ modeling
Obviousness Reasoning
Obvious extension of existing imaging methodology using known computational techniques with expected technical improvements
35 U.S.C. § 103 Summary: Based on US Patent 11857358's comprehensive disclosure of high-density element suppression and 3D image reconstruction techniques, the present publication demonstrates that the claimed variations represent obvious technological extensions readily apparent to a person having ordinary skill in medical imaging and computational processing technologies. The systematic translation of core image processing principles across diverse industrial domains constitutes prima facie obviousness under 35 U.S.C. ยง 103.

Original Patent Information

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