Using Multimodal Image Registration to Guide Minimally Invasive Laparoscopic Liver Surgery

What this Trial Is About

Researchers are evaluating a new method to assist surgeons during minimally invasive liver surgery by combining different types of images. This method uses real-time augmented reality to help locate hidden tumors by registering ultrasound and laparoscope images together, along with preoperative scans like CT or MRI. The goal is to make laparoscopic liver surgery safer, more precise, and to improve patient recovery and quality of life. The study involves patients undergoing minimally invasive hepatectomy performed by either conventional or robot-assisted laparoscopy. During surgery, videos and ultrasound images are recorded, and measurements of internal liver structures are taken. After surgery, the collected imaging data is analyzed using a specially developed registration algorithm to improve the accuracy of the augmented reality guidance. Participants will have their preoperative imaging and surgical data collected and anonymized. Intraoperative images and measurements will be carefully recorded. Researchers will evaluate how accurately the augmented reality aligns with the actual surgical findings over 28 months. This observational study is designed to monitor the surgical process without altering standard care, aiming to enhance surgical guidance technology.

Multimodal Image Registration for Helping Laparoscopic Liver Surgery Guidance