Multi-parametric analysis and registration of brain tumors: Constructing statistical atlases and diagnostic tools of predictive value

Author

Davatzikos, Christos ; Zacharaki, Evangelia I. ; Gooya, Ali ; Clark, Vanessa

Author_Institution

Dept. of Radiol., Univ. of Pennsylvania, Philadelphia, PA, USA

fYear

2011

fDate

Aug. 30 2011-Sept. 3 2011

Firstpage

6979

Lastpage

6981

Abstract

We discuss computer-based image analysis algorithms of multi-parametric MRI of brain tumors, aiming to assist in early diagnosis of infiltrating brain tumors, and to construct statistical atlases summarizing population-based characteristics of brain tumors. These methods combine machine learning, deformable registration, multi-parametric segmentation, and biophysical modeling of brain tumors.

Keywords

biomedical MRI; brain; image registration; image segmentation; learning (artificial intelligence); medical image processing; statistical analysis; tumours; biophysical modeling; computer-based image analysis algorithm; deformable registration; diagnostic tools; infiltrating brain tumor diagnosis; machine learning; multiparametric MRI; multiparametric analysis; multiparametric segmentation; population-based characteristics; statistical atlases; Accuracy; Brain modeling; Diffusion tensor imaging; Noise measurement; Tumors; Algorithms; Artificial Intelligence; Biophysics; Brain; Brain Mapping; Brain Neoplasms; Data Mining; Glioma; Humans; Image Interpretation, Computer-Assisted; Magnetic Resonance Imaging; Neoplasm Metastasis; Pattern Recognition, Automated; Predictive Value of Tests; Prognosis; Reproducibility of Results;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE

Conference_Location

Boston, MA

ISSN

1557-170X

Print_ISBN

978-1-4244-4121-1

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2011.6091764

Filename

6091764