Next-Generation Hollow Organ Imaging System

A system for generating multi-contrast agent image data of a hollow organ, enabling personalized diagnosis and treatment through advanced material separation and machine learning-based analysis.

The original patent provided a method for providing image data of a hollow organ, but it had limitations in terms of contrast agent usage and image data analysis. The new inventive concept addresses these limitations by introducing a multi-spectral CT scanner and advanced material separation algorithms, enabling more accurate and personalized diagnoses.

The next-generation hollow organ imaging system comprises a multi-spectral CT scanner, a processing unit, and a machine learning module. The CT scanner acquires spectrally resolved CT data of the hollow organ, which is then separated into multiple material images corresponding to specific contrast agents. The machine learning module identifies regions of interest in the image data and separates them into different material classes based on the absorption spectra of multiple contrast agents. This enables the generation of personalized image data and 3D representations of the hollow organ, allowing for more accurate diagnoses and treatments.

The new claims introduce the concept of multi-spectral CT scanning, advanced material separation algorithms, and machine learning-based analysis, which are not present in the original patent. These features enable a more accurate and personalized diagnosis of hollow organ diseases, making the new inventive concept novel and non-obvious compared to the original patent.

Alternative embodiments of the inventive concept could include the use of different types of CT scanners, such as photon-counting CT scanners, or the integration of additional imaging modalities, such as MRI or ultrasound. Variations of the material separation algorithms and machine learning models could also be explored to further improve the accuracy and personalization of the image data.

The next-generation hollow organ imaging system has significant commercial potential in the medical imaging industry, particularly in the diagnosis and treatment of gastrointestinal diseases. The system's ability to provide personalized image data and accurate diagnoses could lead to improved patient outcomes and reduced healthcare costs. The target market includes hospitals, clinics, and medical research institutions.