Computed tomography (CT) is widely used in medical diagnosis and non-destructive detection. Image reconstruction CT aims to accurately recover pixel values from measured line integrals, i.e., the summed along straight lines. Provided that acquired data satisfy sufficiency condition as well other conditions regarding view angle sampling interval severity of transverse truncation, researchers have discovered many solutions reconstruct image. However, if these are violated, accurate image...

The x-ray exposure to patients has become a major concern in Computed Tomography (CT) and minimizing the radiation been one of efforts CT field.Due plenty high-attenuation tissues human chest, under low dose scan protocols, thoracic low-dose (LDCT) images tend be severely degraded by excessive mottled noise non-stationary streak artifacts.Their removal is rather challenging task because artifacts with directional prominence are often hard well discriminated from attenuation information...

Purpose: In x‐ray computed tomography (CT), a violation of the Tuy data sufficiency condition leads to limited‐view artifacts. some applications, it is desirable use corresponding narrow temporal window reconstruct images with reduced temporal‐average However, need reduce artifacts in practice may result and thus undesirable this paper, authors present new iterative reconstruction method, synchronized multiartifact reduction tomographic (SMART‐RECON), eliminate using acquired within an...

Sparse-view CT image reconstruction problems encountered in dynamic acquisitions are technically challenging. Recently, many deep learning strategies have been proposed to reconstruct images from sparse-view angle showing promising results. However, two fundamental with these methods remain be addressed: (1) limited accuracy for individual patients and (2) generalizability patient statistical cohorts.The purpose of this work is address the previously mentioned challenges current methods.A...

Iodine material images (aka iodine basis images) generated from dual energy computed tomography (DECT) have been used to assess potential perfusion defects in the pulmonary parenchyma. However, do not provide needed absolute quantification of blood pool, as materials with effective atomic numbers (Zeff ) different those may also contribute images, thus confounding defects.(i) To demonstrate limitations defect and (ii) develop validate a new quantitative biomarker using derived DECT...

The streak artifacts caused by metal implants degrade the image quality and limit applications of CT imaging. standard method used to reduce these metallic often consists interpolating missing projection data but result is a loss with additional in whole image. This paper proposes new strategy based on three‐stage process: (1) application large‐scale non local means filter (LS‐NLM) suppress noise enhance original image, (2) segmentation objects using mutual information maximized algorithm...

Projection incompleteness in x-ray computed tomography (CT) often relates to sparse sampling or detector gaps and leads degraded reconstructions with severe streak ring artifacts. To suppress these artifacts, this study develops a new sinogram inpainting strategy based on sinusoid-like curve decomposition eigenvector-guided interpolation, where each missing point is considered located within group of curves estimated from interpolation preserve the texture continuity. The proposed approach...

Local collaborative representation (CR) has drawn much attention in exploring data relationships due to considering local knowledge the global linear combination, subsequently, CR-based graph embedding methods have been applied dimensionality reduction of hyperspectral image (HSI). However, HSI with nonlinear distribution cannot be handled pure combination accurately. Furthermore, existing terms binary relations between pairwise neighbors makes it hard learn accurate structure among...

While CTA is an established clinical gold standard for imaging large cerebral arteries and veins, important challenge that currently remains its limited performance in small perforating with diameters below 0.5 mm. The purpose of this work was to theoretically experimentally study the potential benefits using photon counting detector (PCD)-based CT (PCCT) improve these arteries. In particular, focused on component image package known as maximum intensity projection (MIP) image. To help...

ABSTRACT We present a 3D magnetohydrodynamic numerical experiment of an eruptive magnetic flux rope (MFR) and the various types disturbances it creates, employ forward modelling extreme ultraviolet (EUV) observables to directly compare results observations. In beginning, MFR erupts fast shock appears as expanding dome. Under MFR, current sheet grows, in which field lines reconnect form closed lines, become outermost part coronal mass ejection (CME) bubble. our synthetic SDO/AIA images, we...

Tomographic reconstruction from noisy projections do not yield adequate results. Mathematically, this tomographic represents an ill-posed problem due to information missing caused by the presence of noise. Maximum a posteriori (MAP) or Bayesian methods offer possibilities improve image quality as compared with analytical in particular introducing prior guide and regularize With aim achieve robust utilization continuity/connectivity overcome heuristic weight update for other nonlocal methods,...

When an automatic exposure control is introduced in C-arm cone beam CT data acquisition, the spectral inconsistencies between acquired projection are exacerbated. As a result, conventional water/bone correction schemes not as effective diagnostic x-ray acquisitions with fixed tube potential. In this paper, new method was proposed to reconstruct several images different degrees of consistency and thus levels hardening artifacts. The relies neither on prior knowledge spectrum nor compositional...

A tomographic patient model is essential for radiation dose modulation in x-ray computed tomography (CT). Currently, two-view scout images (also known as topograms) are used to estimate models with relatively uniform attenuation coefficients. These do not account the detailed anatomical variations of human subjects, and thus, may limit accuracy intraview or organ-specific modulations emerging CT technologies.

Purpose Digital breast tomosynthesis (DBT) has been shown to somewhat alleviate the tissue overlapping issues of two‐dimensional (2D) mammography. However, improvement in current DBT systems over mammography is still limited. Statistical image reconstruction (SIR) methods have potential reduce through‐plane artifacts DBT, and thus may be used further anatomical clutter. The purpose this work was study impact SIR on clutter reconstructed volumes. Methods An with a slice‐wise total variation...

In this paper, a newly developed statistical model-based image reconstruction [referred to as Simultaneous Multiple Artifacts Reduction in Tomographic RECONstruction (SMART-RECON)] is applied low dose computer tomography (CT) myocardial perfusion imaging (CT-MPI). This method uses the nuclear norm of spatial-temporal matrix CT-MPI images regularizer, rather than conventional spatial regularizer that incorporates smoothness, edge preservation, or sparsity into reconstruction. addition...

<h3>BACKGROUND AND PURPOSE:</h3> Deep learning is a branch of artificial intelligence that has demonstrated unprecedented performance in many medical imaging applications. Our purpose was to develop deep angiography method generate 3D cerebral angiograms from single contrast-enhanced C-arm conebeam CT acquisition order reduce image artifacts and radiation dose. <h3>MATERIALS METHODS:</h3> A set 105 rotational examinations were randomly selected an internal data base. All acquired using...

Music can regulate and improve the emotions of brain. Traditional emotional regulation approaches often adopt complete music. As is well-known, music may vary in pitch, volume, other ups downs. An individual’s also multiple states, preference varies from person to person. Therefore, traditional methods have problems, such as long duration, variable poor adaptability. In view these we use different processing stacked sparse auto-encoder neural networks identify state brain this paper. We...

Abstract Background Single‐kV CT imaging is one of the primary methods in radiology practices. However, it does not provide material basis images for some subtle lesion characterization tasks clinical diagnosis. Purpose To develop a quality‐checked and physics‐constrained deep learning (DL) method to estimate from single‐kV data without resorting dual‐energy acquisition schemes. Methods are decomposed into two using neural network. The role this network generate feature space with 64...

Purpose To determine the feasibility of ultra-low-dose (ULD) CT fluoroscopy for performing percutaneous CT-guided interventions in an vivo porcine model and to compare radiation dose, spatial accuracy, metal artifact conventional versus fluoroscopy. Materials Methods An swine was used (n = 4, ∼50 kg) 20 procedures guided by 246 incremental scans (mean, 12.5 per procedure). The were approved Institutional Animal Care Use Committee performed two experienced radiologists from September 7, 2017,...

To avoid severe limited-view artifacts in reconstructed CT images, current multi-row detector (MDCT) scanners with a single x-ray source-detector assembly need to limit table translation speeds such that the pitch <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${p}$ </tex-math></inline-formula> (viz., normalized distance per gantry rotation) is lower than 1.5. When notation="LaTeX">${p}&gt;{1.5}$ , it...

This paper proposed a novel metal artifact reduction strategy for computerized tomography (CT). Firstly, an adaptive steering filter is applied to suppress noise and smooth artifacts in the original CT image with artifacts. Secondly, component extracted from filtered using Mutual Information Maximized Segmentation (MIMS) different maximum class number. With tagged projection sinogram part image, we complete subtracted nonlocal means inpainting method. Then, corrected obtained back-projection...

Time-resolved C-arm cone-beam CT (CBCT) angiography (TR-CBCTA) images can be generated from a series of CBCT acquisitions that satisfy data sufficiency condition in analytical image reconstruction theory. In this work, new technique was developed to generate TR-CBCTA single short-scan acquisition with contrast media injection. The enabling application is previously technique, synchronized multi-artifact reduction tomographic (SMART-RECON). application, the acquired projection were sorted...

Statistical Image Reconstruction (SIR) often involves a balance of two requirements: the first requirement is enforcing minimal difference between forward projection reconstructed image with measured data and second some kind smoothness, which depends on specific selection regularizer, to reduce noise in image. The needed delicate these requirements numerical implementations slow down reconstruction speed due either degradation convergence rate algorithm or parallellizability implementation...