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

fYear

2013

fDate

2-4 July 2013

Firstpage

624

Lastpage

627

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Telecommunications and Signal Processing (TSP), 2013 36th International Conference on

Conference_Location

Rome

Print_ISBN

978-1-4799-0402-0

Type

conf

DOI

10.1109/TSP.2013.6614011

Filename

6614011