LIVE SURGICAL AID FOR BRAIN TUMOR RESECTION USING AUGMENTED REALITY AND DEEP LEARNING

Smart overview of the Invention

The patent application describes a system that integrates augmented reality (AR) and deep learning to assist in brain tumor resections. This system uses 3D medical scans and angiograms stored in memory, along with a camera to capture images of the surgical site. The captured images are processed using neural networks to segment the tumor and surrounding vasculature, enabling an AR display that overlays this information onto the real-world view of the surgical site.

Background

Minimally invasive surgeries have become more prevalent due to their benefits, such as reduced recovery time and lower infection risks compared to traditional craniotomy. However, these procedures often separate surgeons from direct visual and tactile feedback, as they rely on 2D screens to interpret preoperative scans. The complexity of translating this information into real-time actions poses significant challenges, particularly in brain surgeries where precision is crucial.

Technological Integration

The integration of AR in surgery aims to address these challenges by providing a comprehensive 3D view that combines real-life visuals with computer-generated data. This technology allows surgeons to visualize tumors and critical structures like nerves and blood vessels directly in their line of sight, potentially increasing the safety and efficacy of minimally invasive procedures. AR systems typically use head-mounted displays to project this information onto the surgeon’s field of view.

Deep Learning Application

Deep learning plays a critical role in this system through neural networks designed to process medical images. These networks perform tasks such as tumor segmentation and object recognition, which are essential for generating accurate AR displays. Convolutional Neural Networks (CNNs) are utilized for their ability to handle complex image data, allowing precise mapping of anatomical features onto the AR interface.

Augmented Reality in Practice

AR has already been applied successfully in various surgical fields, demonstrating its potential to enhance surgical precision and outcomes. For example, AR has been used in spinal surgeries at Johns Hopkins and orthopedic procedures at St. Mary’s hospital in London, where it improved the accuracy of surgical interventions. The proposed system extends these capabilities to brain surgery, offering a promising tool for neurosurgeons navigating complex anatomical landscapes.