Data Augmentation of CT Images of Liver Tumors to Reconstruct Super-Resolution Slices based on a Multi-Frame Approach

Amirhossein Foroozan | Moslem Farhadi

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URL :   http://research.shahed.ac.ir/WSR/WebPages/Report/PaperView.aspx?PaperID=137130
Date :  2019/05/03
Publish in :    2019 27th Iranian Conference on Electrical Engineering (ICEE)
DOI :  https://doi.org/10.1109/IranianCEE.2019.8786397
Link :  http://dx.doi.org/10.1109/IranianCEE.2019.8786397
Keywords :Super-resolution, hepatic tumors, liver CT images, data augmentation, image reconstruction

Abstract :

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— Improvement of tumor images have applications in the extraction of features and image retrieval algorithms. The multi-frame super-resolution technique is a chief approach in high-resolution image reconstruction. However, the acquisition of several low-resolution frames is not practical in the medical domain. In this paper, we use volumetric CT data of the abdominal region to prepare new low-resolution images and employ them in a data augmentation approach to the super-resolution image reconstruction. We showed that our method improved the results of interpolation and conventional multi-frame approaches by 0.02 and 0.03 respectively using the SSIM index.

http://dx.doi.org/10.1109/IranianCEE.2019.8786397