Title :
A Semi-automatic System for Measuring Tibial Cartilage Volume
Author :
Cheong, James ; Suter, David ; Cicuttini, Flavia
Author_Institution :
Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, VIC
Abstract :
Osteoarthritis is a chronic and crippling disease affecting an increasing number of people each year. With no known cure, it is expected to reach epidemic proportions in the coming years. Currently, there is strong interest in developing a fully automated cartilage area/volume measurement method in the medical field to assist both pharmaceutical companies and medical professions in researching the disease. This paper describes the development of a semi-automatic system for segmenting and measuring human knee cartilage volume from Magnetic resonance imaging (MRI) scans. The cartilage volume obtained from the semi-automated method has been benchmarked against the current gold standard (cartilage volume from manual segmentation).
Keywords :
area measurement; biological tissues; biomedical MRI; image segmentation; medical image processing; volume measurement; MRI; cartilage area measurement method; cartilage volume measurement method; human knee cartilage; image segmentation; magnetic resonance imaging; osteoarthritis; semiautomatic cartilage volume measurement system; tibial cartilage; Anthropometry; Biomedical imaging; Bone diseases; Humans; Image segmentation; Magnetic field measurement; Magnetic resonance imaging; Osteoarthritis; Pharmaceuticals; Volume measurement;
Conference_Titel :
TENCON 2005 2005 IEEE Region 10
Conference_Location :
Melbourne, Qld.
Print_ISBN :
0-7803-9311-2
Electronic_ISBN :
0-7803-9312-0
DOI :
10.1109/TENCON.2005.301261