Performance comparison of the proposed method with Tikhonov, Total Variation (TV), and Dual Problem (DP) reconstructions on a real CT dataset of a carved cheese slice under limited-angle tomography.

Performance comparison of the proposed method with Tikhonov, Total Variation (TV), and Dual Problem (DP) reconstructions on a real CT dataset of a carved cheese slice under limited-angle tomography.

<p>The sinogram was obtained from 15 projections spanning an angular range from 1 to .</p>

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Haytham A. Ali (21703201) (author)
مؤلفون آخرون: Essam A. Rashed (11949249) (author), Hiroyuki Kudo (8688534) (author)
منشور في: 2025
الموضوعات:
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
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الوصف
الملخص:<p>The sinogram was obtained from 15 projections spanning an angular range from 1 to .</p>

مواد مشابهة