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
#1Felipe Godinez (UC Davis: University of California, Davis)H-Index: 4
#2Buddika Sumanasena (UC Davis: University of California, Davis)H-Index: 4
Last. Ramsey D. Badawi (UC Davis: University of California, Davis)H-Index: 29
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#1Xuezhu Zhang (UC Davis: University of California, Davis)H-Index: 13
#2Jian Zhou (UC Davis: University of California, Davis)H-Index: 140
Last. Jinyi Qi (UC Davis: University of California, Davis)H-Index: 52
view all 7 authors...
269 Objectives Current PET scanners have an axial FOV of 15-30 cm, and a typical 18F-FDG PET whole-body scan requires an injected activity of 200-400 MBq. The EXPLORER project (EXtreme Performance Long REsearch scanneR) aims to build a 2-meter long total-body PET scanner, which provides massively increased sensitivity and possesses a range of capabilities currently unavailable for whole-body dynamic imaging especially at very low radiation doses with high temporal resolution. Here we study the f...
9 Citations
#1Jian Zhou (UC Davis: University of California, Davis)H-Index: 12
#2Jinyi QiH-Index: 52
A factorized system matrix utilizing an image domain resolution model is attractive in fully 3D time-of-flight PET image reconstruction using list-mode data. In this paper, we study a factored model based on sparse matrix factorization that is comprised primarily of a simplified geometrical projection matrix and an image blurring matrix. Beside the commonly-used Siddon's ray-tracer, we propose another more simplified geometrical projector based on the Bresenham's ray-tracer which further reduces...
15 CitationsSource
#1Li Yang (UC Davis: University of California, Davis)H-Index: 4
#2Jian Zhou (UC Davis: University of California, Davis)H-Index: 12
Last. Jinyi Qi (UC Davis: University of California, Davis)H-Index: 52
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Detecting cancerous lesions is a major clinical application in emission tomography. In previous work, we have studied penalized maximum-likelihood (PML) image reconstruction for the detection task and proposed a method to design a shift-invariant quadratic penalty function to maximize detectability of a lesion at a known location in a two dimensional image. Here we extend the regularization design to maximize detectability of lesions at unknown locations in fully 3D PET. We used a multiview chan...
23 CitationsSource
#1Jian Zhou (UC Davis: University of California, Davis)H-Index: 12
#2Jinyi QiH-Index: 52
Statistically based iterative image reconstruction has been widely used in positron emission tomography (PET) imaging. The quality of reconstructed images depends on the accuracy of the system matrix that defines the mapping from the image space to the data space. However, an accurate system matrix is often associated with high computation cost and huge storage requirement. In this paper, we present a method to address this problem using sparse matrix factorization and graphics processor unit (G...
67 CitationsSource
#1Jinyi Qi (UC Davis: University of California, Davis)H-Index: 52
#2Yang YongfengH-Index: 21
Last. Simon R. CherryH-Index: 93
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We have proposed a zoom-in positron emission tomography (PET) system that incorporates a high-resolution detector into an existing PET scanner to obtain high-resolution images of a region of interest. Previously we have shown by computer simulations that the high-resolution detector can improve the overall system performance in terms of spatial resolution and lesion detectability. In this study, we assessed the resolution improvement in a real system by incorporating a high-resolution detector i...
21 CitationsSource
#1Jian Zhou (UC Davis: University of California, Davis)H-Index: 12
#2Jinyi Qi (UC Davis: University of California, Davis)H-Index: 52
Positron emission tomography (PET) has become a leading modality in molecular imaging. Demands for further improvements in spatial resolution and sensitivity remain high with growing number of applications. In this paper we present a novel PET system design that integrates a high-resolution depth-of-interaction (DOI) detector into an existing PET system to obtain higher-resolution and higher-sensitivity images in a target region around the face of the high-resolution detector. A unique feature o...
24 CitationsSource
#1Jian Zhou (UC Davis: University of California, Davis)H-Index: 12
#2Jinyi Qi (UC Davis: University of California, Davis)H-Index: 52
We have proposed a “zoom-in” PET system that integrates a higher-resolution detector capable of measuring depth of interaction (DOI) into an existing scanner to obtain highresolution images of a targeted region with high-sensitivity. The system acquires coincidence events between the high-resolution detector and low-resolution detectors, as well as those between the low-resolution detectors. Because of the irregular system geometry and the use of a DOI detector, the system matrix of the zoom-in ...
Source
Jan 1, 2010 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Guanyu Yang (SEU: Southeast University)H-Index: 15
#2Jian Zhou (SEU: Southeast University)H-Index: 12
Last. C. ToumoulinH-Index: 3
view all 6 authors...
This paper describes a method for the characterization of coronary artery motion using multislice computed tomography (MSCT) volume sequences. Coronary trees are first extracted by a spatial vessel tracking method in each volume of MSCT sequence. A point-based matching algorithm, with feature landmarks constraint, is then applied to match the 3-D extracted centerlines between two consecutive instants over a complete cardiac cycle. The transformation functions and correspondence matrices are esti...
7 CitationsSource
#1Jian Zhou (UC Davis: University of California, Davis)H-Index: 12
#2Jinyi QiH-Index: 52
We study a novel PET system that integrates a high-resolution zoom-in detector into an existing PET scanner to provide higher resolution and sensitivity in a target region. In contrast to a full-ring PET insert, the proposed system is designed to focus on the target region close to the face of the high-resolution detector. The proposed design is easier to implement than a full-ring insert and provides flexibility for adaptive PET imaging. We developed a maximum a posteriori (MAP) image reconstru...
31 CitationsSource