A comparative study on interpolation methods for controlled cardiac CT

Bharkhada, Deepak; Yu, Hengyong; Zeng, Kai; Bai, Er‐Wei; Wang, Ge

doi:10.1002/ima.20101

Cited by 6 publications

(6 citation statements)

References 13 publications

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“…The simplicity of the FDK method has made it the most used algorithm for cone-beam reconstruction. Another important advantage, is that FDK, in contrast to the exact methods, handles data truncated in the longitudinal direction, so making such useful for a reconstruction from a stack imaging [21,22]. A confocal microscope 64 slices image of size 523×471 pixels of a nucleolus (Fig.…”

Section: Methodsmentioning

confidence: 99%

3D image reconstruction using Radon transform

D’Acunto

Benassi

Moroni

et al. 2014

SIViP

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Computed tomography as well as magnetic resonance or positron electron tomography is currently the most commonly used medical imaging modalities for the analysis of human body complex structures and organs, where diseases must be recognized and identified. The image reconstruction process used in these tomography techniques is usually based on the Radon transform (RT). In this paper, an algorithm based on Markov chain Monte Carlo methods for reconstruction of 2D-3D structures is introduced, including correction of noise directly from the RT sinograms. The 3D reconstruction is independent by the instrumental technique and can be applied to any RT-based medical imaging technologies.

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Section: Methodsmentioning

confidence: 99%

3D image reconstruction using Radon transform

D’Acunto

Benassi

Moroni

et al. 2014

SIViP

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“…Current methods for cone-beam CT focus on the use of FDK-type algorithms that use a perspective transform to accelerate the reconstruction process. These methods require a flat detector array and frequently use re-binning techniques to accelerate the reconstruction [1]. However, re-binning algorithms tend to introduces additional non-uniformities in the projection space and should be avoided in the interest of accuracy [6,1].…”

mentioning

confidence: 99%

“…These methods require a flat detector array and frequently use re-binning techniques to accelerate the reconstruction [1]. However, re-binning algorithms tend to introduces additional non-uniformities in the projection space and should be avoided in the interest of accuracy [6,1]. For this reason, we investigate reconstruction algorithms which directly work with the raw fan-beam attenuation values produced by commercial CT scanners.…”

mentioning

confidence: 99%

Comprehensive Analysis of High-Performance Computing Methods for Filtered Back-Projection

Mendl

Eliuk

Noga

et al. 2013

ELCVIA

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This paper provides an extensive runtime, accuracy, and noise analysis of Computed Tomography (CT) reconstruction algorithms using various High-Performance Computing (HPC) frameworks such as: "conventional" multi-core, multi threaded CPUs, Compute Unified Device Architecture (CUDA), and DirectX or OpenGL graphics pipeline programming. The proposed algorithms exploit various built-in hardwired features of GPUs such as rasterization and texture filtering. We compare implementations of the Filtered Back-Projection (FBP) algorithm with fan-beam geometry for all frameworks. The accuracy of the reconstruction is validated using an ACR-accredited phantom, with the raw attenuation data acquired by a clinical CT scanner. Our analysis shows that a single GPU can run a FBP reconstruction 23 time faster than a 64-core multi-threaded CPU machine for an image of 1024 × 1024. Moreover, directly programming the graphics pipeline using DirectX or OpenGL can further increases the performance compared to a CUDA implementation.

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“…Cardiac CT continues evolving with the innovative technologies such as controlled6,7 and dynamic volumetric cardiac CT 8,9. The 320-slice MDCTs are now commercially available.…”

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confidence: 99%

Cardiac Computed Tomography Radiation Dose Reduction Using Interior Reconstruction Algorithm With the Aorta and Vertebra as Known Information

Bharkhada

Yu²,

Ge³

et al. 2009

Journal of Computer Assisted Tomography

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High x-ray radiation dose is a major public concern with the increasing use of multidetector computed tomography (CT) for diagnosis of cardiovascular diseases. This issue must be effectively addressed by dose-reduction techniques. Recently, our group proved that an internal region of interest (ROI) can be exactly reconstructed solely from localized projections if a small subregion within the ROI is known. In this article, we propose to use attenuation values of the blood in aorta and vertebral bone to serve as the known information for localized cardiac CT. First, we describe a novel interior tomography approach that backprojects differential fan-beam or parallel-beam projections to obtain the Hilbert transform and then reconstructs the original image in an ROI using the iterative projection onto convex sets algorithm. Then, we develop a numerical phantom based on clinical cardiac CT images for simulations. Our results demonstrate that it is feasible to use practical prior information and exactly reconstruct cardiovascular structures only from projection data along x-ray paths through the ROI. Cardiac CT continues evolving with the innovative technologies such as controlled 6,7 and dynamic volumetric cardiac CT. 8,9 The 320-slice MDCTs are now commercially available. NIH Public AccessInnovative scanning trajectories such as the saddle curve 10 and compositing circles 11 have been proposed. Hence, dramatic progress of CT technology, especially MDCT, is foreseeable in the near future. 12 As a result, its use is likely to improve the diagnosis of CVD, including coronary artery disease, risk factor assessment, and other cardiovascular disease such as congenital heart disease in infant and children.Computed tomography is the largest source of radiation dose in diagnostic imaging. A high dose of ionizing radiation associated with x-rays in CT can damage living cells, whereas the effect of low-level exposure (<100 mSv) remains unclear. It has also been estimated that the cancer risk caused by CT may be up to 1.5% to 2.0%. 13 Current recommendations are to use radiation dose as low as possible while satisfying the diagnosis requirement. Therefore, there is an urgent need for effective dose reduction.Several strategies were proposed to reduce the radiation dose, most of which focused on the modulation of scan parameters, modification of scanner geometry, and use of prospective gating, and so on.14 , 15 Although these methods can reduce the x-ray radiation significantly, further reduction can be made by developing new methods to reduce the amount of raw data. The first landmark work along this direction is the well-known fan-beam half-scan formula. 16 In 2002, Noo et al17 reported a new imaging condition that makes exact and stable reconstruction possible when the object is not truncated in any required fan-beam projections, and all the lines through the region of interest (ROI) intersect with the source trajectory nontangentially. The recent milestone is the 2-step Hilbert transform method,18 which performs the ...

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A comparative study on interpolation methods for controlled cardiac CT

Cited by 6 publications

References 13 publications

3D image reconstruction using Radon transform

3D image reconstruction using Radon transform

Comprehensive Analysis of High-Performance Computing Methods for Filtered Back-Projection

Cardiac Computed Tomography Radiation Dose Reduction Using Interior Reconstruction Algorithm With the Aorta and Vertebra as Known Information

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