Title :
Detection of dermis and fascia on skin layers for liposuction surgery robot using texture and geometric information
Author :
Song, Sangha ; Kobayashi, Yo ; Fujie, Masakatsu G.
Author_Institution :
Grad. Sch. of Sci. & Eng., Waseda Univ., Shinjuku, Japan
Abstract :
Despite the fact that liposuction is one of the most common types of cosmetic surgery, it causes skin surface irregularity as a side effect because of the procedure´s lack of systemicity and objectivity in measuring the process of regional suction. To determine a more systematic and quantitative liposuction process, the surgeon requires access to a surgical robotic system for liposuction. The first consideration in such a system, is navigation of subcutaneous fat, especially detection of the dermis and fascia skin layers. Therefore, this paper presents a method for detecting the dermis and fascia in the skin structure using an ultrasound image that could assist the surgeon´s procedure during liposuction. The method proposed in this paper includes the following three steps. 1) Using the Gabor filter bank, extract the texture feature from the ultrasound image. 2) Using a k-means clustering algorithm, extract cluster areas from the texture feature, such that cluster areas contain similar texture features. 3) Detect the dermis and fascia from each cluster´s geometric information as the feature after training a multi-class SVM. Using the proposed algorithm, the performance results for precision and recall for dermis are 96% and 100%, respectively. In the case of fascia, the precision is 71.11% and recall is 86.49%. The proposed algorithm would be useful as the navigation system in the development of a surgical robot for liposuction in the near future.
Keywords :
Gabor filters; biomedical ultrasonics; cosmetics; feature extraction; image texture; medical image processing; medical robotics; object detection; pattern clustering; skin; support vector machines; surgery; Gabor filter bank; cosmetic surgery; dermis detection; fascia detection; geometric information; k-means clustering algorithm; liposuction process; liposuction surgery robot; multiclass SVM; regional suction; skin layers; skin surface irregularity; subcutaneous fat; surgical robotic system; texture feature extraction; texture information; ultrasound image; Dermis; Fascia; Feature extraction; Gabor filters; Support vector machines; Ultrasonic imaging; Gabor Filter Bank; K-means Algorithm; Liposuction; Multi-class SVM; Skin Layer;
Conference_Titel :
Control, Automation and Systems (ICCAS), 2012 12th International Conference on
Conference_Location :
JeJu Island
Print_ISBN :
978-1-4673-2247-8