Next-Generation Hybrid Imaging Systems and Methods
Legal Citation
Summary of the Inventive Concept
A next-generation hybrid imaging system that integrates SPECT and PET modalities with adaptive multi-pinholes and filters, enabling high-resolution, high-sensitivity imaging with simultaneous acquisition of multiple energy windows.
Background and Problem Solved
The original patent, 'Imaging systems and methods', addressed limitations in traditional SPECT systems. However, the new inventive concept tackles the limitations of traditional SPECT and PET systems by introducing a hybrid approach that combines the strengths of both modalities. The problem solved is the inability of traditional systems to provide high-resolution, high-sensitivity imaging with simultaneous acquisition of multiple energy windows.
Detailed Description of the Inventive Concept
The next-generation hybrid imaging system comprises a SPECT module, a PET module, and a collimator having adaptive multi-pinholes equipped with filters. The adaptive multi-pinholes are dynamically reconfigurable to optimize imaging performance for various applications. The system enables simultaneous acquisition of SPECT and PET data, which is then fused using a deep learning algorithm to generate high-resolution, high-sensitivity images. The system also includes a modular design, allowing for interchangeable and upgradable detector, collimator, and processing modules.
Novelty and Inventive Step
The new claims introduce a paradigm shift in imaging technology by combining SPECT and PET modalities with adaptive multi-pinholes and filters, enabling high-resolution, high-sensitivity imaging with simultaneous acquisition of multiple energy windows. The inventive step lies in the integration of these components and the dynamic reconfigurability of the adaptive multi-pinholes.
Alternative Embodiments and Variations
Alternative embodiments may include variations in the design of the adaptive multi-pinholes, such as using different materials or geometries. Other variations may include the use of different machine learning algorithms for image reconstruction or the integration of additional imaging modalities, such as CT or MRI.
Potential Commercial Applications and Market
The next-generation hybrid imaging system has significant commercial potential in the medical imaging industry, particularly in applications such as cancer diagnosis, neuroimaging, and cardiovascular imaging. The system's ability to provide high-resolution, high-sensitivity images with simultaneous acquisition of multiple energy windows makes it an attractive solution for researchers and clinicians.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61B6/5235 |
| A | A61 | A61B6/037 |
| G | G01 | G01T1/1642 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical imaging technologies, specifically nuclear medicine functional imaging techniques including SPECT and PET systems, with expertise in detector design, collimator configurations, and multi-modal imaging technologies
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer or medical imaging specialist with advanced degree, knowledge of radiation detection, signal processing, and experience in designing medical imaging instrumentation with understanding of multi-pinhole collimator architectures
Obviousness Rationale
A PHOSITA would recognize that the PTD's hybrid imaging approach represents a predictable combination of known SPECT and PET imaging modalities, with the adaptive multi-pinhole design being a logical extension of existing collimator technologies. The integration of machine learning for image reconstruction and the modular system design are incremental improvements that would be obvious to someone skilled in medical imaging system development. The variations demonstrate standard engineering problem-solving approaches applied to existing imaging system architectures.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,357 |
|---|---|
| Title | Imaging systems and methods |
| Assignee(s) | SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD. |