Title :
Segmentation of tibia bone in ultrasound images using active shape models
Author :
He, Ping ; Zheng, Jun
Author_Institution :
Dept. of Biomed., Ind. & Human Factors Eng., Wright State Univ., Dayton, OH, USA
Abstract :
This paper describes the use of Active Shape Models to segment the tibia bone in ultrasound images. Using CT images from three volunteers, a training, set consisting of 60 tibia contours, each represented by 45 labeled points, is first established. After aligning the contours in the training set, a Point Distribution Model (PDM) is generated that includes a mean shape of tibia and six modes of shape variation that explain 98% of the total shape variation. Using the PDM, a new shape can be generated which is further scaled, rotated and translated to match the tibia contour in an ultrasound image. Preliminary results indicate that Active Shape Models provide a useful tool for segmenting leg bones in ultrasound images.
Keywords :
biomedical ultrasonics; image segmentation; medical image processing; orthopaedics; physiological models; CT images; active shape models; leg bones; medical diagnostic imaging; point distribution model; shape rotation; shape scaling; shape translation; tibia bone; tibia contours; ultrasound images; Active shape model; Biomedical engineering; Bones; Computed tomography; Helium; Human factors; Image segmentation; Industrial training; Leg; Ultrasonic imaging;
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
Print_ISBN :
0-7803-7211-5
DOI :
10.1109/IEMBS.2001.1017343