Suture Maps Based on Structural Enhanced Imaging Endoscope for Laparoscopic Robotic Surgery

Conf Lasers Electro Optics. 2018:2018:JTu2A.106. doi: 10.1364/cleo_at.2018.jtu2a.106.

¹ Department of Electrical and Computer Engineering, Johns Hopkins University, 3400 North Charles Street, Baltimore, MD 21218.
² Department of Computer Science, Johns Hopkins University, 3400 North Charles Street, Baltimore, MD 21218.
³ Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, 111 Michigan Ave NW, Washington, DC 20010.
⁴ Department of Mechanical Engineering, University of Maryland, College Park, MD 20742.

Abstract

A detection method for cutting scheme in 3D is proposed to assist robotic surgical manipulation, leading to an automatic suturing suggestion mapping.

Keywords: (110.6880) Three-dimensional image acquisition; (120.3890) Medical optics instrumentation; (170.2150) Endoscopic imaging.