Reconstruction of 3D Brain Structures from Clinical 2D MRI Data

Rui Shi, Tsukasa Koike, Tetsuro Sekine, Akio Morita, Tetsuya Sakai

Abstract: As the population is aging worldwide, the number of dementia patients increases. Brain MRI is expected to play a crucial role in the prediction of dementia at an early stage. Current 3D brain structure reconstruction methods have strict rules and require a large number of slice images. Routine clinical MRI files contain much fewer slices, but diagnosis relies heavily on information obtained from MRI scans. In this paper, we proposed a method that is able to reconstruct the 3D brain structure with 2D DICOM MRI images within the clinical routine budget, by applying trilinear interpolation. The generated images and structures are evaluated with PSNR and SSIM. The results show that although the details in the generated 2D slices are not ideal, our method is able to reconstruct 3D structures that are highly similar to the original brain structures using only one-fifth of the image slices.

External IDs:dblp:conf/icpram/ShiKSMS25