Deep learning interior tomography for region-of-interest reconstruction

Y Han, J Gu, JC Ye - arXiv preprint arXiv:1712.10248, 2017 - arxiv.org
Interior tomography for the region-of-interest (ROI) imaging has advantages of using a small
detector and reducing X-ray radiation dose. However, standard analytic reconstruction …

Sparse-View X-Ray CT Reconstruction Using Prior with Learned Transform

X Zheng, IY Chun, Z Li, Y Long, JA Fessler - arXiv preprint arXiv …, 2017 - arxiv.org
A major challenge in X-ray computed tomography (CT) is reducing radiation dose while
maintaining high quality of reconstructed images. To reduce the radiation dose, one can …

[PDF][PDF] Deep Learning Can Reverse Photon Migration for Diffuse Optical Tomography

J Yooa, S Sabira, D Heob, KH Kimb, A Wahaba, Y Choi… - researchgate.net
Deep learning approaches have demonstrated remarkable performance in many computer
vision problems, such as image classification (1) and segmentation (2). With the …