Kidney edge detection in laparoscopic image data for computer-assisted surgery

• Verfasst von: Hattab, Georges [VerfasserIn]
• Verfasst von: Simpfendörfer, Tobias [VerfasserIn]
• Verfasst von: Maier-Hein, Lena [VerfasserIn]
• Titel: Kidney edge detection in laparoscopic image data for computer-assisted surgery
• Verf.angabe: Georges Hattab, Marvin Arnold, Leon Strenger, Max Allan, Darja Arsentjeva, Oliver Gold, Tobias Simpfendörfer, Lena Maier-Hein, Stefanie Speidel
• Jahr: 2020
• Jahr des Originals: 2019
• Umfang: 9 S.
• Fussnoten: Published online: 11 December 2019 ; Gesehen am 26.03.2020
• Titel Quelle: Enthalten in: International journal of computer assisted radiology and surgery
• Ort Quelle: Berlin : Springer, 2006
• Jahr Quelle: 2020
• Band/Heft Quelle: 15(2020), 3, Seite 379-387
• ISSN Quelle: 1861-6429
• DOI: doi:10.1007/s11548-019-02102-0
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1693373793

Abstract

In robotic-assisted kidney surgery, computational methods make it possible to augment the surgical scene and potentially improve patient outcome. Most often, soft-tissue registration is a prerequisite for the visualization of tumors and vascular structures hidden beneath the surface. State-of-the-art volume-to-surface registration methods, however, are computationally demanding and require a sufficiently large target surface. To overcome this limitation, the first step toward registration is the extraction of the outer edge of the kidney.