Enhanced Visually-Assisted Ultrasound System for Targeted Biopsies

An improved ultrasound system that leverages real-time tracking, 3D modeling, and machine learning-based algorithms to enhance the accuracy, speed, and safety of targeted biopsies, addressing the limitations of existing MRI-ultrasound fusion techniques.

The original patent, 'Method and system for visually assisting an operator of an ultrasound system', introduced a solution for targeted biopsies using MRI-ultrasound fusion. However, it had limitations, such as the need for manual registration, lack of real-time feedback, and potential collisions between the ultrasound transducer probe and surrounding anatomical structures. The new inventive concept addresses these limitations by providing a more accurate, efficient, and safe solution for visually-assisted ultrasound-guided biopsies.

The enhanced visually-assisted ultrasound system comprises a real-time tracking module, a fusion module, a machine learning-based algorithm, and a display module. The real-time tracking module continuously updates the positional information of the ultrasound transducer probe, while the fusion module combines the MRI calibration data with the updated positional information to provide an accurate visual representation of the anatomical region. The machine learning-based algorithm automatically detects and identifies the anatomical region of interest in the MRI calibration data, and the display module highlights the detected region of interest on the ultrasound images in real-time. Additionally, the system includes a collision detection module to detect potential collisions between the ultrasound transducer probe and surrounding anatomical structures, and a warning module to alert the operator of potential collisions in real-time.

The new claims introduce several novel and non-obvious features, including the real-time tracking module, the machine learning-based algorithm, and the collision detection module. These features provide a significant improvement over the original patent, enabling more accurate, efficient, and safe targeted biopsies.

Alternative embodiments of the inventive concept could include using different machine learning algorithms, incorporating additional sensors for more accurate tracking, or integrating the system with other medical imaging modalities. Variations of the system could be designed for specific anatomical regions, such as the prostate or liver.

The enhanced visually-assisted ultrasound system has significant commercial potential in the medical imaging and diagnostics market, particularly in the fields of urology, oncology, and radiology. The system could be marketed to hospitals, clinics, and medical research institutions, and could potentially replace or augment existing MRI-ultrasound fusion systems.