259 citations · 377 across the 7 of their papers we have counts for
7 papers · 1 filter
GBM Volumetry using the 3D Slicer Medical Image Computing Platform
Jan Egger, Tina Kapur, Andriy Fedorov +7
Volumetric change in glioblastoma multiforme (GBM) over time is a critical factor in treatment decisions. Typically, the tumor volume is computed on a slice-by-slice basis using MR…
Pituitary Adenoma Volumetry with 3D Slicer
Jan Egger, Tina Kapur, Christopher Nimsky +1
In this study, we present pituitary adenoma volumetry using the free and open source medical image computing platform for biomedical research: (3D) Slicer. Volumetric changes in ce…
Benchmarking the Quality of Diffusion-Weighted Images
Jan Klein, Sebastiano Barbieri, Miriam H. A. Bauer +2
We present a novel method that allows for measuring the quality of diffusion-weighted MR images dependent on the image resolution and the image noise. For this purpose, we introduc…
Ray-Based and Graph-Based Methods for Fiber Bundle Boundary Estimation
Miriam H. A. Bauer, Jan Egger, Daniela Kuhnt +5
Diffusion Tensor Imaging (DTI) provides the possibility of estimating the location and course of eloquent structures in the human brain. Knowledge about this is of high importance…
A Comparison of Two Human Brain Tumor Segmentation Methods for MRI Data
Jan Egger, Dženan Zukić, Miriam H. A. Bauer +5
The most common primary brain tumors are gliomas, evolving from the cerebral supportive cells. For clinical follow-up, the evaluation of the preoperative tumor volume is essential.…
A Semi-Automatic Graph-Based Approach for Determining the Boundary of Eloquent Fiber Bundles in the Human Brain
Miriam H. A. Bauer, Jan Egger, Daniela Kuhnt +5
Diffusion Tensor Imaging (DTI) allows estimating the position, orientation and dimension of bundles of nerve pathways. This non-invasive imaging technique takes advantage of the di…