University of South Florida

Sinan Onal

Stuart Richard Hart

Susana Lai-Yuen

Alfredo Weitzenfeld

Paul Bao

A system and methodology for the automated localization, extraction, and analysis of MRI-based features with clinical information to improve the diagnosis of pelvic organ prolapse (POP). The system can automatically identify reference points for pelvic floor measurements on MRI rapidly and consistent. It provides a prediction model that analyzes the correlation between current and new MRI-based features with clinical information to differentiate patients with and without POP. This system will enable the high throughput analysis of MR images for their correlation with clinical information to better detect POP. The presented system can also be applied to the automated localization and extraction of MRI features for the diagnosis of other diseases where clinical examination is not adequate.

Image-based automated measurement model to predict pelvic organ prolapse

A laparoscopic suturing device includes a handle and a shaft mounted to the handle. A toggle knob is adapted to rotate the shaft about its longitudinal axis. A pair of opposed jaws, each having a hollow structure, open and close relative to one another. A needle carrier and a needle holder are respectively slideably disposed in a lumen of a first and a second jaw. A needle has first and second pointed ends and is adapted to be press fit into the lumen of the first jaw with the first pointed end exposed and alternatively into the lumen of the second jaw with the second pointed end exposed. A spring-loaded pusher advances and retracts the needle carrier when the toggle knob is in a first position and advances and retracts the needle holder when in a second position. The tool assists a surgeon in suturing tissue captured between the jaws.

Growing community of inventors

Tampa, FL, United States of America

Sinan Onal