Using regularization to reduce the number of projection angles in optical projection tomography
Master Semester Project
Optical projection tomography (OPT) typically requires hundreds or thousands of projection angles in practice to acquire enough measurement data. This increases data acquisition time and light dose on the sample. By incorporating total-variation (TV) regularization, one can significantly reduce the number of projection angles without deteriorating the reconstruction quality.  In this project, the student will 1) use GlobalBioIm  library to construct a forward model equivalent to 3D Radon transform, 2) build an iterative reconstruction scheme with TV regularization, 3) evaluate the performance of this algorithm with/without regularization on a simulated 3D ground truth. The student should be good at image reconstruction and optimization algorithms, and experienced with Matlab. References:  Correia T, et al. Accelerated Optical Projection Tomography Applied to In Vivo Imaging of Zebrafish. PLoS One. 2015 Aug 26;10(8):e0136213.  E. Soubies, F. Soulez, M. T. McCann, T-A. Pham, L. Donati, T. Debarre, D. Sage, and M. Unser. Pocket Guide to Solve Inverse Problems with GlobalBioIm, Inverse Problems, 35-10, 2019.
- Yan Liu, firstname.lastname@example.org
- Michael Unser, email@example.com, 021 693 51 75, BM 4.136
- Thanh-An Pham, firstname.lastname@example.org