Simulation of 3D MRI brain images for quantitative evaluation of image segmentation algorithms

Gudrun Wagenknecht; Hans-Juergen Kaiser; Thorsten Obladen; Osama Sabri; Udalrich Buell

doi:10.1117/12.387612

6 June 2000 Simulation of 3D MRI brain images for quantitative evaluation of image segmentation algorithms

Gudrun Wagenknecht, Hans-Juergen Kaiser, Thorsten Obladen, Osama Sabri, Udalrich Buell

Proceedings Volume 3979, Medical Imaging 2000: Image Processing; (2000) https://doi.org/10.1117/12.387612
Event: Medical Imaging 2000, 2000, San Diego, CA, United States

Abstract

To model the true shape of MRI brain images, automatically classified T1-weighted 3D MRI images (gray matter, white matter, cerebrospinal fluid, scalp/bone and background) are utilized for simulation of grayscale data and imaging artifacts. For each class, Gaussian distribution of grayscale values is assumed, and mean and variance are computed from grayscale images. A random generator fills up the class images with Gauss-distributed grayscale values. Since grayscale values of neighboring voxels are not correlated, a Gaussian low-pass filtering is done, preserving class region borders. To simulate anatomical variability, a Gaussian distribution in space with user-defined mean and variance can be added at any user-defined position. Several imaging artifacts can be added: (1) to simulate partial volume effects, every voxel is averaged with neighboring voxels if they have a different class label; (2) a linear or quadratic bias field can be added with user-defined strength and orientation; (3) additional background noise can be added; and (4) artifacts left over after spoiling can be simulated by adding a band with increasing/decreasing grayscale values. With this method, realistic-looking simulated MRI images can be produced to test classification and segmentation algorithms regarding accuracy and robustness even in the presence of artifacts.

Citation Download Citation

Gudrun Wagenknecht, Hans-Juergen Kaiser, Thorsten Obladen, Osama Sabri, and Udalrich Buell "Simulation of 3D MRI brain images for quantitative evaluation of image segmentation algorithms", Proc. SPIE 3979, Medical Imaging 2000: Image Processing, (6 June 2000); https://doi.org/10.1117/12.387612

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