From the category archives:

Surgery

This will involve application of MSI technology for surgical planning and surgical training. All surgical specialties will be considered including general surgery, urology, ob/gyn, oral and maxillofacial surgery, otolaryngology, neurosurgery, ophthalmology, orthopedic and podiatric surgery. For surgical planning, MSI will be used to help surgeons plan for complex operations based on patient specific image data and models. For surgical training, patient specific as well as other kinds of models are used to train psychomotor and cognitive skills. This involves the development of highly immersive interactive environments where the trainee can interact with the computer generated models using his/her sense of vision as well as touch. Typical research issues are related to real time computing, tissue modeling and robotic interface design.

Example Projects- Modeling, Simulation and Imaging in Surgery

This project aims at developing and validating a virtual reality-based simulator for the laparoscopic gastric banding procedure. Preliminary clinical validation studies have been performed in 2010 at Harvard Medical School.

Working closely with the Fundamentals in Laparoscopic Surgery (FLS) committee, Harvard Medical School and Tufts University, this project aims at developing and validating a virtual reality simulator for the FLS tasks (peg transfer, pattern cutting, ligating loop, suturing with intracorporeal and extracorporeal knot tying).

This project aims at developing a computer aided design environment for emerging single incision procedures which minimize patient trauma by using a single port instead of the traditional five ports to perform surgery.

This project aims at developing a computer aided design environment for the natural orifice transluminal endoscopic procedure (NOTES) which is a revolutionary surgical paradigm for performing surgical operations without any external scarring.

While most commercially available surgical simulators (Gen1) are intended for psychomotor skill training, adult learning theory and literature in cognitive science indicate that immersive training is most effectively imparted in its natural context. Following this paradigm, the next generation (Gen2) simulators are being developed which also impart cognitive fidelity and feedback during training.

This project aims at analyzing electrosurgical procedures and, based upon task decomposition, develop a basic set of procedures that may be used for competency attainment and credentialing.

This project aims at developing technology for training on tele-robotic surgical procedures.