Objectives Computer-aided pathological voice detection is efficient for initial screening of
pathological voice, and has received high academic and clinical attention. This paper …

Objective: We investigate and develop optimization-based algorithms for accurate
reconstruction of four-dimensional (4D)-spectral-spatial (SS) images directly from data …

Total variation (TV) minimization algorithm is an effective algorithm capable of accurately
reconstructing images from sparse projection data in a variety of imaging modalities …

OBJECTIVE: CT image reconstruction from sparse-view projections is an important imaging
configuration for low-dose CT, as it can reduce radiation dose. However, the CT images …

Sparse-view reconstruction in electron paramagnetic resonance imaging (EPRI) aims to
reduce scanning times, which is critical for tumor oxygen imaging, yet is often plagued by …

Objective. Electron paramagnetic resonance (EPR) imaging is an advanced in vivo oxygen
imaging modality. The main drawback of EPR imaging is the long scanning time. Sparse …

PURPOSE: The adaptive steepest descent projection onto convex set (ASD-POCS)
algorithm is a promising algorithm for constrained total variation (TV) type norm minimization …

Precise radiation guided by oxygen images has demonstrated superiority over the traditional
radiation methods. Electron paramagnetic resonance (EPR) imaging has proven to be the …

Objective Currently, slow scanning speed has become a technical bottleneck limiting the
development of electron paramagnetic resonance imaging (EPRI), a novel oxygen imaging …

Oxygen concentration in tumor is a key information for effective radiation therapy. Electron
paramagnetic resonance imaging (EPRI) is an advanced oxygen imaging technique …