Preliminary investigation of optimization-based image reconstruction for TOF PET with sparse configurations

2019 ◽  
Author(s):  
Zheng Zhang ◽  
Buxin Chen ◽  
Amy E. Perkins ◽  
Chien-Min Kao ◽  
Emil Y. Sidky ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Preliminary Investigation ◽  
Tof Pet

A preliminary investigation of ROI-image reconstruction with the rebinned BPF algorithm

2008 ◽  
Author(s):  
Junguo Bian ◽  
Dan Xia ◽  
Lifeng Yu ◽  
Emil Y. Sidky ◽  
Xiaochuan Pan
Keyword(s):  
Image Reconstruction ◽  
Preliminary Investigation

scholarly journals Analytic time-of-flight positron emission tomography reconstruction: two-dimensional case

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Gengsheng L. Zeng ◽  
Ya Li ◽  
Qiu Huang
Keyword(s):  
Positron Emission Tomography ◽  
Image Reconstruction ◽  
Iterative Algorithm ◽  
Emission Tomography ◽  
Two Dimensional ◽  
Profile Function ◽  
Positron Emission ◽  
Pet Image Reconstruction ◽  
2D Filter ◽  
Tof Pet

AbstractIn a positron emission tomography (PET) scanner, the time-of-flight (TOF) information gives us rough event position along the line-of-response (LOR). Using the TOF information for PET image reconstruction is able to reduce image noise. The state-of-the-art TOF PET image reconstruction uses iterative algorithms. Analytical image reconstruction algorithm exits for TOF PET which emulates the iterative Landweber algorithm. This paper introduces such an algorithm, focusing on two-dimensional (2D) reconstruction. The proposed algorithm is in the form of backprojection filtering, in which the backprojection is performed first, and then a 2D filter is applied to the backprojected image. For the list-mode data, the backprojection is carried out in the event-by-event fashion, and a profile function may be used along the projection LOR. The 2D filter depends on the TOF timing resolution as well as the backprojection profile function. In order to emulate the iterative algorithm effects, a Fourier-domain window function is suggested. This window function has a parameter, k, which corresponds to the iteration number in an iterative algorithm.

Efficient 3D TOF PET Reconstruction Using View-Grouped Histo-Images: DIRECT - Direct Image Reconstruction for TOF

2006 ◽  
Author(s):  
Samuel Matej ◽  
Shridhar Jayanthi ◽  
Suleman Surti ◽  
Margaret E. Daube-Witherspoon ◽  
Gerd Muehllehner ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Direct Image ◽  
Pet Reconstruction ◽  
Tof Pet

A preliminary investigation of reduced-view image reconstruction from low dose breast CT data

2012 ◽  
Author(s):  
Junguo Bian ◽  
Xiao Han ◽  
Kai Yang ◽  
Emil Y. Sidky ◽  
John M. Boone ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Low Dose ◽  
Preliminary Investigation ◽  
Breast Ct ◽  
Ct Data

Deep learning based image reconstruction for TOF PET with DIRECT data partitioning format

2021 ◽  
Author(s):  
Tao Feng ◽  
Shulin Yao ◽  
Chen Xi ◽  
Yizhang Zhao ◽  
Ruimin Wang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Image Reconstruction ◽  
Data Partitioning ◽  
Direct Data ◽  
Tof Pet

scholarly journals TOF-PET image reconstruction with multiple timing kernels applied on Cherenkov radiation in BGO

2021 ◽  
pp. 1-1
Author(s):  
Nikos Efthimiou ◽  
Nicolaus Kratochwil ◽  
Stefan Gundacker ◽  
Andrea Polesel ◽  
Matteo Salomoni ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Cherenkov Radiation ◽  
Pet Image Reconstruction ◽  
Tof Pet
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