Integrated Segmentation of Brain Tumor Images for Radiotherapy and Neurosurgery

Bauer, Stefan; Lu, Huanxiang; May, Christian P.; Nolte, Lutz-P.; Büchler, Philippe; Reyes, Mauricio (2013). Integrated Segmentation of Brain Tumor Images for Radiotherapy and Neurosurgery. International journal of imaging systems and technology, 23(1), pp. 59-63. John Wiley & Sons 10.1002/ima.22037

	Text 22037_ftp.pdf - Published Version Restricted to registered users only Available under License Publisher holds Copyright. Download (305kB)
Preview	Text BauerIJIST2013.pdf - Accepted Version Available under License Publisher holds Copyright. Download (318kB) | Preview

Image-based modeling of tumor growth combines methods from cancer simulation and medical imaging. In this context, we present a novel approach to adapt a healthy brain atlas to MR images of tumor patients. In order to establish correspondence between a healthy atlas and a pathologic patient image, tumor growth modeling in combination with registration algorithms is employed. In a first step, the tumor is grown in the atlas based on a new multi-scale, multi-physics model including growth simulation from the cellular level up to the biomechanical level, accounting for cell proliferation and tissue deformations. Large-scale deformations are handled with an Eulerian approach for finite element computations, which can operate directly on the image voxel mesh. Subsequently, dense correspondence between the modified atlas and patient image is established using nonrigid registration. The method offers opportunities in atlasbased segmentation of tumor-bearing brain images as well as for improved patient-specific simulation and prognosis of tumor progression.

Interest & Impact

Downloads

508 since deposited on 15 Apr 2014
15 in the past 12 months

Citations

5 Citations in Web of Science ®
6 Citations in Scopus

Search

in Google Scholar™

Services

Actions (login required)

Edit item

Actions (login required)

Edit item