Advanced Guided Diffuse Optical Tomography Systems for Enhanced Lesion Imaging

Next-generation guided diffuse optical tomography (DOT) systems that leverage artificial intelligence, machine learning, and multimodal imaging to provide high-resolution, real-time functional images of lesion regions, enabling more accurate diagnoses and personalized treatment.

The original patent disclosed systems and methods for optimizing functional images of a lesion region using guided diffuse optical tomography. However, these systems have limitations in terms of resolution, imaging speed, and adaptability to changing optical properties of the lesion region. The new inventive concept addresses these limitations by integrating advanced technologies to provide more comprehensive and accurate lesion imaging.

The new inventive concept comprises a system for generating high-resolution, real-time functional images of a lesion region using artificial intelligence-enhanced guided diffuse optical tomography. The system utilizes machine learning algorithms to predict and adapt to changing optical properties of the lesion region, enabling more accurate and personalized imaging. Additionally, the system can be integrated with other imaging modalities, such as ultrasound, MRI, and CT, to provide a more comprehensive understanding of the lesion region. The system can also be used to generate personalized, 3D-printed phantoms for training and validating guided diffuse optical tomography systems, improving the accuracy of DOT imaging. Furthermore, the system can be implemented in a wearable, portable device, enabling real-time lesion detection and characterization.

The new claims introduce several novel and non-obvious features, including the use of artificial intelligence and machine learning algorithms to adapt to changing optical properties of the lesion region, the integration of guided diffuse optical tomography with other imaging modalities, and the use of 3D-printed phantoms for training and validation. These features provide a significant improvement over the original patent and enable more accurate and personalized lesion imaging.

Alternative embodiments of the inventive concept could include the use of different machine learning algorithms, the integration of guided diffuse optical tomography with other imaging modalities, such as PET or SPECT, and the use of different types of phantoms, such as digital phantoms or physical phantoms with varying optical properties.

The new inventive concept has significant commercial potential in the medical imaging industry, particularly in the areas of breast cancer diagnosis and treatment. The system's ability to provide high-resolution, real-time functional images of lesion regions could enable more accurate diagnoses and personalized treatment, improving patient outcomes and reducing healthcare costs. The system could also be used in other medical applications, such as imaging of other types of cancer or neurological disorders.