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Incorporating Relaxivities to More Accurately Reconstruct MR Images [PDF]

open access: yes, 2015
Purpose To develop a mathematical model that incorporates the magnetic resonance relaxivities into the image reconstruction process in a single step. Materials and methods In magnetic resonance imaging, the complex-valued measurements of the acquired ...
Bruce, Iain P.   +2 more
core   +2 more sources

Adaptive Weighted Total Variation Minimization Based Alternating Direction Method of Multipliers for Limited Angle CT Reconstruction

open access: yesIEEE Access, 2018
In CT image reconstruction, the limited angle problem is an ill-posed problem. To solve this ill-posed problem, the total variation (TV) regularization has been widely used in image reconstruction. In recent years, an algorithm based on TV regularization
Fulin Luo   +3 more
doaj   +1 more source

Domain Transform Network for Photoacoustic Tomography from Limited-view and Sparsely Sampled Data

open access: yesPhotoacoustics, 2020
Medical image reconstruction methods based on deep learning have recently demonstrated powerful performance in photoacoustic tomography (PAT) from limited-view and sparse data.
Tong Tong   +7 more
doaj   +1 more source

On global randomized block Kaczmarz method for image reconstruction

open access: yesElectronic Research Archive, 2022
Image reconstruction represents an important technique applied in various fields such as medicine, biology, materials science, nondestructive testing, and so forth.
Ranran Li, Hao Liu
doaj   +1 more source

Maximum-entropy image reconstruction using wavelets [PDF]

open access: yes, 2003
Wavelet functions allow the sparse and efficient representation of a signal at different scales. Recently the application of wavelets to the denoising of maps of cosmic microwave background (CMB) fluctuations has been proposed. The maximum-entropy method
Hobson, M. P.   +2 more
core   +2 more sources

Single Image Super-Resolution Reconstruction with Preservation of Structure and Texture Details

open access: yesMathematics, 2023
In recent years, deep-learning-based single image super-resolution reconstruction has achieved good performance. However, most existing methods pursue a high peak signal-to-noise ratio (PSNR), while ignoring the quality of the structure and texture ...
Yafei Zhang   +4 more
doaj   +1 more source

Imaging ACL reconstructions and their complications

open access: yesDiagnostic and Interventional Imaging, 2015
Examination of ligament reconstructions, particularly of the anterior cruciate ligament (ACL), are common situations in everyday knee imaging practice. Knowledge of normal appearances, the expected changes over time and the potential complications of these plasties are essential. MRI is the imaging method of choice.
Kulczycka, Pola   +5 more
openaire   +4 more sources

From lactation to malignancy: A comparison between healthy and cancerous breast gland at single‐cell resolution reveals new issues for tumorigenesis

open access: yesFEBS Letters, EarlyView.
Single‐cell RNA sequencing reveals an opposite role of SLPI in basal tumors based on metastatic spread, along with shared activation of specific regulons in cancer cells and mature luminal lactocytes, as well as downregulation of MALAT1 and NEAT1 in the latter.
Pietro Ancona   +4 more
wiley   +1 more source

Tonic signaling of the B‐cell antigen‐specific receptor is a common functional hallmark in chronic lymphocytic leukemia cell phosphoproteomes at early disease stages

open access: yesMolecular Oncology, EarlyView.
B‐cell chronic lymphocytic leukemia (B‐CLL) and monoclonal B‐cell lymphocytosis (MBL) show altered proteomes and phosphoproteomes, analyzed using mass spectrometry, protein microarrays, and western blotting. Identifying 2970 proteins and 316 phosphoproteins, including 55 novel phosphopeptides, we reveal BCR and NF‐kβ/STAT3 signaling in disease ...
Paula Díez   +17 more
wiley   +1 more source

Spatial Domain Terahertz Image Reconstruction Based on Dual Sparsity Constraints

open access: yesSensors, 2021
Terahertz time domain spectroscopy imaging systems suffer from the problems of long image acquisition time and massive data processing. Reducing the sampling rate will lead to the degradation of the imaging reconstruction quality.
Xiaozhen Ren, Yuying Jiang
doaj   +1 more source

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