Enhanced Systems and Methods for Optimizing Functional Images of a Lesion Region using Guided Diffuse Optical Tomography

An improved system and method for generating optimized functional images of a lesion region using guided diffuse optical tomography, enhancing image quality, speed, and accuracy through adaptive intensity adjustment, machine learning, sparse coding, wavelet transform, and deep learning algorithms.

The original patent, 'Systems and methods of optimizing functional images of a lesion region using guided diffuse optical tomography', addresses the limitations of breast cancer imaging using diffuse optical tomography (DOT). However, the original patent has inherent limitations, such as fixed optical signal intensity, limited image processing capabilities, and lack of adaptability. The new inventive concept addresses these limitations by introducing adaptive intensity adjustment, advanced image processing algorithms, and improved computational efficiency.

The enhanced system comprises a DOT device configured to acquire lesion functional data from the lesion region and reference functional data from a healthy tissue region. The DOT device is adapted to adjust the intensity of the optical signal based on the distance between the lesion region and the healthy tissue region. The system also includes a processing unit configured to process the lesion functional data and the reference functional data using machine learning, sparse coding, wavelet transform, or deep learning algorithms to generate optimized functional images. The new claims provide improved image quality, speed, and accuracy, enabling better diagnosis and treatment of breast cancer.

The new inventive concept's novelty lies in the adaptive intensity adjustment, advanced image processing algorithms, and improved computational efficiency, which are not present in the original patent. The inventive step is the combination of these features, which provides a significant improvement over the existing technology.

Alternative embodiments of the inventive concept include using different machine learning algorithms, sparse coding techniques, wavelet transform methods, or deep learning architectures. Variations of the system could include using different DOT devices, processing units, or image reconstruction algorithms to generate optimized functional images.

The enhanced system and method have significant commercial potential in the medical imaging industry, particularly in breast cancer diagnosis and treatment. The target market includes hospitals, clinics, and research institutions, with potential for expansion into other medical imaging applications.