With the development of low-dose computed tomography (CT), incomplete data reconstruction has been widely concerned. The total variation (TV) minimization algorithm can accurately reconstruct images from sparse or noisy data.However, traditional TV ignores direction structures in images, leading to loss edge information and block artifacts when object is not piecewise constant. Since anisotropic facilitate preserving detail we aim improve terms accuracy via this approach.In paper, propose an...

Background: Orthogonal translation computed laminography (OTCL) has great potential for tiny fault detection in laminated structure thin-plate parts. It offers a larger magnification ratio but generates limited projection data, which would result aliasing artifacts the reconstructed image. Objective: One way to minimize these is use prior information, such as piecewise constant property and image information. This work was inspired by adaptive-weighted high order total variation (awHOTV)...

Spectral-computed tomography (CT) has been demonstrating its great advantages in lesion detection, tissue characterization, and material decomposition. However, the quality of images is often significantly corrupted with various noises, which brings a challenge for applications. Because channel-wise from different energy interval share similar structure physical message, spatial sparsity, global correlation across spectrum (GCS), nonlocal self-similarity (NSS) as three important...

Micro computed tomography (µCT) allows the noninvasive visualization and 3D reconstruction of internal structures objects with high resolution. However, current commercial µCT system relatively rotates source-detector or to collect projections, referred as RCT in this paper, has difficulties imaging large resolutions because fabrication large-area, inexpensive flat-panel detectors remains a challenge. In we proposed source translation based CT (STCT) for resolution get rid limitation...

The spectral computed tomography (CT) system based on a photon-counting detector (PCD) can quantitatively analyze the material composition of inspected object by decomposition. Nonetheless, raw projection CT is frequently disturbed noise and artifacts, resulting in poor quality decomposition images. Recently, generalized dictionary learning image-domain (GDLIMD) to obtain high-quality DL has great advantages suppression while its protection fine structure edge information insufficient. To...

Micro-computed tomography (micro-CT) is an indispensable tool to provide attenuation-based, high-resolution 3D images in scientific research. However, its current available configuration limits the size of objects that can be imaged. Previously, we have proposed a multiple source translation computed (mSTCT) imaging geometry extend field-of-view micro-CT, and developed corresponding reconstruction algorithm called virtual projection-based filtered back-projection (V-FBP). V-FBP achieves...

The potential huge advantage of spectral computed tomography (CT) is that it can provide accurate material identification and quantitative tissue information by decomposition. However, decomposition a typical inverse problem, where the noise be magnified. To address this issue, we develop dictionary learning based image-domain (DLIMD) method for CT to achieve components with better image quality. Specifically, set patches are extracted from mode-1 unfolding normalized images decomposed...

Object rotation is a classical data acquisition mode in micro-computed tomography (micro-CT) to capture radiographs from different angles for high-resolution three-dimensional reconstruction. However, this encounters two primary limitations: firstly, an undesired tradeoff arises between the field-of-view (FOV) and spatial resolution; secondly, resolution compromised due insufficient radial sampling frequency domain. In paper, we present novel paradigm called multiple Source Translations...

Penumbral blur is one of the major limitations high spatial resolution micro-CT, due to a nonideal large focal spot. hinders ability resolve small features that may only be few pixels in size. Reducing spot size by decreasing x-ray tube power straightforward solution, but it leads prolonged scan durations. In this paper, we propose mitigate penumbral learning inverse finite model. First, derived model builds relationship from ideal point source projection projection. Based on model,...

Dynamic computed tomography (CT) is usually employed to image motion objects, such as beating heart, coronary artery and cerebral perfusion, etc. Recently, further improve the temporal resolution for aperiodic industrial process imaging, swinging multi-source CT (SMCT) systems corresponding prior constrained compressed sensing (SM-PICCS) method were developed. Since SM-PICCS uses L1-norm of gradient, edge structures in reconstructed images are blurred artifacts still present. Inspired by...

As a new generation computed tomography (CT) technology, spectral CT has great potential in many aspects, especially the identification and decomposition of materials. To achieve higher accuracy materials decomposition, we propose multi-constraint based nonlocal total variation (NLTV) method, named as MCNLTV. Because image-domain material belongs to two-step Filter Back-Projection (FBP) algorithm or SART is used reconstruct images first step. Then attenuation coefficient matrix obtained from...

Interior tomography is a promising technique that can be used to image large objects with high acquisition efficiency. However, it suffers from truncation artifacts and attenuation value bias due the contribution parts of object outside ROI, which compromises its ability quantitative evaluation in material or biological studies. In this paper, we present hybrid source translation scanning mode for interior tomography, called hySTCT-where projections inside ROI are finely sampled coarsely...

Micro-computed tomography (micro-CT) is a widely used state-of-the-art instrument employed to study the morphological structures of objects in various fields. However, its small field-of-view (FOV) cannot meet pressing demand for imaging relatively large at high spatial resolutions. Recently, we devised novel scanning mode called multiple source translation CT (mSTCT) that effectively enlarges FOV micro-CT and correspondingly developed virtual projection-based filtered backprojection (V-FBP)...

Abstract Objective: With the development of computed tomography (CT) imaging technology, it is possible to acquire multi-energy data by spectral CT. Being different from conventional CT, X-ray energy spectrum CT cut into several narrow bins which leads result that only a part photon can be collected in each individual channel.This severely degrade image qualities. To address this problem, we propose reconstruction algorithm based on low-rank representation and structure preserving...

Abstract Nafion has been widely used in electrochemistry, but there are only a few reports on its application other fields, such as, gas separation, even though it exhibits good performance. The primary reason for that is the high cost of and making composite membrane with thin layer potential solution to solve this problem. In study, novel Nafion‐PTFE hollow fiber membrane, which had (~5 μm) detect‐free PTFE surface, without filling substrate pores was developed, differing from reported...

Interior tomography by rotary computed (RCT) is an effective method to improve the detection efficiency and achieve high-resolution imaging for region of interest (ROI) within a large-scale object. However, because only X-rays through ROI can be received detector, projection data inevitably truncated, resulting in truncation artifacts reconstructed image. When totally object, solution problem not unique, which named interior problem. Fortunately, completion (PC) technique solve In this...

Recently, linear computed tomography (LCT) systems have actively attracted attention. To weaken projection truncation and image the region of interest (ROI) for LCT, backprojection filtration (BPF) algorithm is an effective solution. However, in BPF it difficult to achieve stable interior reconstruction, differentiated (DBP) images multiple rotation-finite inversion Hilbert transform (Hilbert filtering)-inverse rotation operations will blur image. satisfy reconstruction scenarios including...

Recently, in some special situations, linear computed tomography (LCT) systems have provided better imaging solutions for internal structures compared with conventional CT instruments. To image the region of interest (ROI) and weaken projection truncation LCT reconstruction, backprojection filtration (BPF) algorithm is an effective solution. However, BPF LCT, it difficult to achieve stable interior differentiated (DBP) images LCT. satisfy multiple reconstruction scenarios including ROI,...