Jian Zhou
University of California, Davis
AlgorithmPhysicsMathematical optimizationIterative reconstructionArtificial intelligenceIterative methodTomographyProjection (set theory)Wavelet transformImage resolutionScannerComputer visionMathematicsComputer scienceWaveletImage qualityRate of convergenceFeature (computer vision)Regularization (mathematics)Detector
37Publications
12H-index
550Citations
Publications 36
Newest
Jul 30, 2009 in IPMI (Information Processing in Medical Imaging)
#1Jian Zhou (UC Davis: University of California, Davis)H-Index: 12
#2Jinyi Qi (UC Davis: University of California, Davis)H-Index: 52
While the performance of small animal PET systems has been improved impressively in terms of spatial resolution and sensitivity, demands for further improvements remain high with growing number of applications. Here we propose a novel PET system design that integrates a high-resolution detector into an existing PET system to obtain higher-resolution images in a target region. The high-resolution detector will be adaptively positioned based on the detectability or quantitative accuracy of a featu...
1 CitationsSource
#1Alexandre BousseH-Index: 13
#2Jian Zhou (NIH: National Institutes of Health)H-Index: 12
Last. C. Toumoulin (NIH: National Institutes of Health)H-Index: 1
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This paper deals with the 3-D reconstruction of the coronary tree from a rotational X-ray projection sequence. It describes the following three stages: the reconstruction of the 3-D coronary tree at different phases of the cardiac cycle, the motion estimation, and the motion-compensated tomographic reconstruction of the 3-D coronary tree at one given phase using all the available projections. Our method is tested on a series of simulated images computed from the projection of a segmented dynamic...
11 CitationsSource
#1Jian Zhou (French Institute of Health and Medical Research)H-Index: 12
#2Lotfi Senhadji (French Institute of Health and Medical Research)H-Index: 27
Last. Limin Luo (SEU: Southeast University)H-Index: 29
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The present work describes a Bayesian maximum a posteriori (MAP) method using a statistical multiscale wavelet prior model. Rather than using the orthogonal discrete wavelet transform (DWT), this prior is built on the translation invariant wavelet transform (TIWT). The statistical modeling of wavelet coefficients relies on the generalized Gaussian distribution. Image reconstruction is performed in spatial domain with a fast block sequential iteration algorithm. We study theoretically the TIWT MA...
7 CitationsSource
#2Jian ZhouH-Index: 12
#3Lotfi SenhadjiH-Index: 27
Last. Limin LuoH-Index: 29
view all 4 authors...
The present work describes a Bayesian maximum a posteriori (MAP) method using a statistical multiscale wavelet prior model. Rather than using the orthogonal discrete wavelet transform (DWT), this prior is built on the translation invariant wavelet transform (TIWT). The statistical modeling of wavelet coefficients relies on the generalized Gaussian distribution. Image reconstruction is performed in spatial domain with a fast block sequential iteration algorithm. We study theoretically the TIWT MA...
#1Jian ZhouH-Index: 12
#2Jean-Louis Coatrieux (University of Rennes)
Last. Limin Luo (SEU: Southeast University)H-Index: 29
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Abstract This paper proposes a new sequential weighted least squares (SWLS) method for positron emission tomography (PET) reconstruction. The SWLS algorithm is noniterative and can be considered as equivalent to the penalized WLS (PWLS) method under certain initial conditions. However, a full implementation of SWLS is computationally intensive. To overcome this problem, we propose a simplified SWLS as a reasonable alternative to the SWLS. The performance of this SWLS method is evaluated in exper...
5 CitationsSource
#1Alexandre Bousse (French Institute of Health and Medical Research)H-Index: 13
#2Jian Zhou (French Institute of Health and Medical Research)H-Index: 12
Last. Christine Toumoulin (French Institute of Health and Medical Research)H-Index: 15
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This paper presents a two stages method for three-dimensional (3-D) coronary artery motion estimation from rotational X-ray projection. In the first step we estimate a 3-D skeleton of the coronary tree at each cardiac phase, using a deformable coronary tree model. The second stage proceeds with a motion estimation between the 3-D reconstructed coronary trees over the cardiac cycle. This estimation is based on a 3-D B-spline interpolation model.
Source
#1Jian Zhou (SEU: Southeast University)H-Index: 12
#2Alexandre Bousse (SEU: Southeast University)H-Index: 13
Last. Jean-Louis Coatrieux (French Institute of Health and Medical Research)
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A method is proposed for a 3D reconstruction of coronary networks from rotational projections that departs from motion-compensated approaches. It deals with multiple views extracted from a time-stamped image sequence through ECG gating. This statistics-based vessel reconstruction method relies on a new imaging model by considering both the efiect of background tissues and the image representation using spherically-symmetric basis functions, also called ’blobs’ . These blobs have a closed analyti...
9 CitationsSource
#1Yining Hu (SEU: Southeast University)H-Index: 10
#2Jian Zhou (French Institute of Health and Medical Research)H-Index: 12
Last. Limin Luo (SEU: Southeast University)H-Index: 29
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In this paper, we proposed a new MAP method more suitable for low signal to noise (SNR) measurements. We took the projection space as a Gibbs random field, under such assumption, new priori was defined which is not limited to a small neighborhood region. We choose the hyperparameter of the penalty using maximum-likelihood estimation. We applied filtering scheme in the proposed method to control reconstruction results. The proposed method was applied to reconstruct both simulated data and real cl...
1 CitationsSource
#1Jian Zhou (SEU: Southeast University)H-Index: 12
Last. Limin LuoH-Index: 29
view all 5 authors...
In this paper, we present a PET reconstruction method using the wavelet-based maximum a posteriori (MAP) expectation-maximization (EM) algorithm. The proposed method, namely WV-MAP-EM, shows several advantages over conventional methods. It provides an adaptive way for hyperparameter determination. Since the wavelet transform allows the use of fast algorithms, WV-MAP-EM also does not increase the order of computational complexity. The spatial noise behavior (bias/variance and resolution) of the p...
23 CitationsSource
#1Hongqing Zhu (SEU: Southeast University)H-Index: 10
#2Huazhong Shu (SEU: Southeast University)H-Index: 34
Last. Jean-Louis Coatrieux (University of Rennes)H-Index: 25
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In this paper, we introduce a set of discrete orthogonal functions known as dual Hahn polynomials. The Tchebichef and Krawtchouk polynomials are special cases of dual Hahn polynomials. The dual Hahn polynomials are scaled to ensure the numerical stability, thus creating a set of weighted orthonormal dual Hahn polynomials. They are allowed to define a new type of discrete orthogonal moments. The discrete orthogonality of the proposed dual Hahn moments not only ensures the minimal information redu...
136 CitationsSource