Poster + Paper
3 April 2023 Synthesis of pediatric brain tumor images with mass effect
Yu Zhou, Jingru Fu, Örjan Smedby, Rodrigo Moreno
Author Affiliations +
Conference Poster
Abstract
In children, brain tumors are the leading cause of cancer-related death. The amount of labeled data in children is much lower than that for adult subjects. This paper proposes a new method to synthesize high-quality pathological pediatric MRI brain images from pathological adult ones. To realistically simulate the appearance of brain tumors, the proposed method considers the mass effect, i.e., the deformation induced by the tumor to the surrounding tissue. First, a probabilistic U-Net was trained to predict a deformation field that encodes the mass effect from the healthy-pathological image pair. Second, the learned deformation field was utilized to warp the healthy mask to simulate the mass effect. The tumor mask is also added to the warped mask. Finally, a label-to-image transformer, i.e., the SPADE GAN, was trained to synthesize a pathological image from the segmentation masks of gray matter, white matter, CSF and the tumor. The synthetic images were evaluated in two quantitative ways: i) three supervised segmentation pipelines were trained on datasets with and without synthetic images. Two pipelines show over 1% improvements in the Dice scores when the datasets were augmented with synthetic data. ii) The Fr´echet inception distance was measured between real and synthetic image distributions. Results show that SPADE outperforms the state-of-the-art Pix2PixHD method in both T1w and T2w modalities. The source code can be accessed on https://github.com/audreyeternal/pediatric-tumor-generation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yu Zhou, Jingru Fu, Örjan Smedby, and Rodrigo Moreno "Synthesis of pediatric brain tumor images with mass effect", Proc. SPIE 12464, Medical Imaging 2023: Image Processing, 1246432 (3 April 2023); https://doi.org/10.1117/12.2654366
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Tumors

Image segmentation

Brain

Neuroimaging

Deformation

Magnetic resonance imaging

Data modeling

RELATED CONTENT


Back to Top