Performance metrics (PSNR and SSIM) for different reconstruction methods under limited-angle views using only 8 projections across various angular ranges.

Performance metrics (PSNR and SSIM) for different reconstruction methods under limited-angle views using only 8 projections across various angular ranges.

<p>Performance metrics (PSNR and SSIM) for different reconstruction methods under limited-angle views using only 8 projections across various angular ranges.</p>

Saved in:

Bibliographic Details
Main Author:	Haytham A. Ali (21703201) (author)
Other Authors:	Essam A. Rashed (11949249) (author), Hiroyuki Kudo (8688534) (author)
Published:	2025
Subjects:	Cell Biology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified unlike previous methods introducing varying levels incomplete angular coverage basis functions composed conditions often result challenging imaging conditions quality reconstructions due method &# 8217 dice coefficients demonstrate novel reconstruction framework image reconstruction problem based image reconstruction parametric level set multiscale gaussian functions integrates compressed sensing insufficient projection data div >< p projection data compressed sensing reconstruction quality gaussian coefficients angle conditions method tailored level values level images gaussian noise represent boundaries promoting sparsity paper addresses noisy scenarios highly undersampled discrete tomography discrete images ct ). constructed using computed tomography boundary accuracy
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

Cannot write session to /tmp/vufind_sessions/sess_sad1k20rnpftopeosu3kdl0kat