Majeed Rana1, Daniel Modrow2, Jens Keuchel2, Christopher Chui3, Madiha Rana4, Maximilian Wagner3, Nils-Claudius Gellrich3. 1. Department of Craniomaxillofacial Surgery, Hannover Medical School, Hannover, Germany. Electronic address: rana.majeed@mh-hannover.de. 2. Brainlab AG, Feldkirchen, Germany. 3. Department of Craniomaxillofacial Surgery, Hannover Medical School, Hannover, Germany. 4. Department of Differential Psychology and Psychological Assessment, Hamburg, Germany.
Abstract
INTRODUCTION: In the treatment of cancer in the head and neck region, computer-assisted surgery can be used to estimate location and extent by segmentation of the tumor. This article presents a new tool (Smartbrush), which allows for faster automated segmentation of the tumor. METHODS: This new method was compared with other well-known techniques of segmentation. Thirty-eight patients with keratocystic odontogenic tumors were included in this study. The tumors were segmented using manual segmentation, threshold-based segmentation and segmentation using Smartbrush. All three methods were compared concerning usability, time expenditure and accuracy. RESULTS: The results suggest that segmentation using Smartbrush is significantly faster with comparable accuracy. CONCLUSIONS: After a period of adjustment to the program, one can comfortably get reliable results that, compared with other methods, are not as dependent on the user's experience. Smartbrush segmentation is a reliable and fast method of segmentation in tumor surgery.
INTRODUCTION: In the treatment of cancer in the head and neck region, computer-assisted surgery can be used to estimate location and extent by segmentation of the tumor. This article presents a new tool (Smartbrush), which allows for faster automated segmentation of the tumor. METHODS: This new method was compared with other well-known techniques of segmentation. Thirty-eight patients with keratocystic odontogenic tumors were included in this study. The tumors were segmented using manual segmentation, threshold-based segmentation and segmentation using Smartbrush. All three methods were compared concerning usability, time expenditure and accuracy. RESULTS: The results suggest that segmentation using Smartbrush is significantly faster with comparable accuracy. CONCLUSIONS: After a period of adjustment to the program, one can comfortably get reliable results that, compared with other methods, are not as dependent on the user's experience. Smartbrush segmentation is a reliable and fast method of segmentation in tumor surgery.
Authors: K Vallaeys; A Kacem; H Legoux; M Le Tenier; C Hamitouche; R Arbab-Chirani Journal: Dentomaxillofac Radiol Date: 2015-05-21 Impact factor: 2.419
Authors: T Huber; G Alber; S Bette; T Boeckh-Behrens; J Gempt; F Ringel; E Alberts; C Zimmer; J S Bauer Journal: Clin Neuroradiol Date: 2015-10-21 Impact factor: 3.649