Publications by authors named "Hongzhu Liang"

In this paper, a Feldkamp-type approximate algorithm is proposed for helical multislice Computed Tomography (CT) image reconstruction. For reconstruction of practically required planar transversal image slices, the algorithm proposes a new short scan helical trajectory which satisfies Tuy's exact reconstruction condition. A planar slice reconstructed using this new trajectory has potential to be exactly reconstructed.

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The gantry-tilted helical cone-beam computed tomography (CT) has an inherent problem that the relative shift of the region of interest (ROI) blurs the reconstructed image. This problem becomes more serious in the gantry-tilted local CT imaging due to the nature of local scanning. This paper proposes a new method to improve the gantry-tilted local imaging by correcting the local scanning data.

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Circular cone beam scanning has been a most popular scheme for computed tomography (CT) imaging, which is simple and can achieve symmetric projection data of the interested object. Many algorithms have been developed for circular cone beam CT. Many of these are FDK type algorithms, which can achieve good reconstruction quality when cone angle is small but may cause image deformation and density reduction at off plane when the cone angle is large.

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In this paper, a Feldkamp type approximate reconstruction algorithm is presented for helical cone-beam Computed Tomography. To effectively suppress artifacts due to large cone angle scanning, it is proposed to reconstruct the object point-wisely on unique customized tilted PI-planes which are close to the data collecting helices of the corresponding points. Such a reconstruction scheme can considerably suppress the artifacts in the cone-angle scanning.

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An approximate image reconstruction method for gantry tilted multi slice computed tomography (MSCT) is presented in this paper, which extends the Feldkamp cone beam reconstruction algorithm to overcome its inaccuracy problem caused by large cone angle. This is done by tilting the reconstructing planes to minimize the cone angle and optimally fitting the spiral segment of the source. It is shown that the image reconstruction performance of the proposed algorithm is superior to that of the Feldkamp reconstruction algorithm.

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Gantry-tilted helical multi-slice computed tomography (CT) refers to the helical scanning CT system equipped with multi-row detector operating at some gantry tilting angle. Its purpose is to avoid the area which is vulnerable to the X-ray radiation. The local tomography is to reduce the total radiation dose by only scanning the region of interest for image reconstruction.

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FDK algorithm is a well-known 3D (three-dimensional) approximate algorithm for CT (computed tomography) image reconstruction and is also known to suffer from considerable artifacts when the scanning cone angle is large. Recently, it has been improved by performing the ramp filtering along the tangential direction of the X-ray source helix for dealing with the large cone angle problem. In this paper, we present an FDK-type approximate reconstruction algorithm for gantry-tilted CT imaging.

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As an invasive species, Eupatorium adenophorum threatens the biodiversity security in Southwest China. To explore its light adaptation characteristics and related eco-physiological mechanism, this paper studied the physiological and morphological properties, e. g.

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