Registration of brain images with tumors: Towards the construction of statistical atlases for therapy planning

Evangelia I. Zacharaki, Dinggang Shen, Ashraf Mohamed, Christos Davatzikos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
Pages197-200
Number of pages4
Volume2006
Publication statusPublished - 2006 Nov 17
Externally publishedYes
Event2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Arlington, VA, United States
Duration: 2006 Apr 62006 Apr 9

Other

Other2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro
CountryUnited States
CityArlington, VA
Period06/4/606/4/9

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Registration of brain images with tumors: Towards the construction of statistical atlases for therapy planning'. Together they form a unique fingerprint.

  • Cite this

    Zacharaki, E. I., Shen, D., Mohamed, A., & Davatzikos, C. (2006). Registration of brain images with tumors: Towards the construction of statistical atlases for therapy planning. In 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings (Vol. 2006, pp. 197-200). [1624886]