Title :
Registration of brain images with tumors: towards the construction of statistical atlases for therapy planning
Author :
Zacharaki, Evangelia I. ; Shen, Dinggang ; Mohamed, Ashraf ; Davatzikos, Christos
Author_Institution :
Dept. of Radiol., Pennsylvania Univ., Philadelphia, PA
Abstract :
A deformable registration method is proposed to register a brain atlas with tumor-bearing brain scans. The tumor mass effect is first simulated in the (normal) atlas, using a biomechanical model of mass effect. The tumor-bearing atlas is subsequently warped to the patient´s scan by a deformable registration method, built upon the idea of HAMMER registration algorithm developed for normal brains. The potential of using the pattern of deformation around the tumor region to optimize the location of tumor seed and other parameters of the tumor model is also explored. Quantitative evaluation on simulated data shows that the proposed method achieves accuracy similar to that achieved in registration of images without tumors. Moreover, limited registration results on real tumors are promising
Keywords :
biomechanics; biomedical MRI; brain; deformation; image registration; medical image processing; tumours; HAMMER registration; MRI; biomechanical model; brain image registration; deformable registration method; statistical brain atlases; therapy planning; tumor mass effect; Biomedical imaging; Biomedical measurements; Brain modeling; Deformable models; Design methodology; Image analysis; Medical treatment; Neoplasms; Radiology; Robustness;
Conference_Titel :
Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-9576-X
DOI :
10.1109/ISBI.2006.1624886