Title :
Statistics-based classification of tissues in the mandibular region
Author :
Marcon, Petr ; Bartusek, Karel ; Mikulka, Jan ; Gescheidtova, Eva
Author_Institution :
Dept. of Theor. & Exp. Electr. Eng., Brno Univ. of Technol., Brno, Czech Republic
Abstract :
The authors present a statistical evaluation of T1-weighted and T2-weighted images of healthy and diseased human tissues. In each patient, the statistical data were evaluated from several tissues, namely the bone, bone marrow, muscle, fat, white matter and gray matter tissue types. Based on the acquired statistical data, we compiled new statistics. In the given tissue samples, we evaluated the following statistical quantities: standard deviation (s.d.), skewness, and kurtosis. The box plots and a small statistical database were created. This database is currently used to determine the tissues.
Keywords :
biomedical MRI; bone; image classification; medical image processing; muscle; statistical analysis; T1-weighted images; T2-weighted images; bone marrow; box plots; diseased human tissues; fat; gray matter tissue types; healthy human tissues; kurtosis; mandibular region; muscle; skewness; standard deviation; statistical database; statistical evaluation; statistics-based classification; white matter tissue; Bones; Databases; Magnetic resonance imaging; Muscles; Pathology; Standards; Statistical analysis; Classification; T1W; T2W; mandibular region;
Conference_Titel :
Telecommunications and Signal Processing (TSP), 2013 36th International Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4799-0402-0
DOI :
10.1109/TSP.2013.6614011