scholarly journals Musiré: multimodal simulation and reconstruction framework for the radiological imaging sciences

Author(s):  
Jörg Peter

A software-based workflow is proposed for managing the execution of simulation and image reconstruction for SPECT, PET, CBCT, MRI, BLI and FMI packages in single and multimodal biomedical imaging applications. The workflow is composed of a Bash script, the purpose of which is to provide an interface to the user, and to organize data flow between dedicated programs for simulation and reconstruction. The currently incorporated simulation programs comprise GATE for Monte Carlo simulation of SPECT, PET and CBCT, SpinScenario for simulating MRI, and Lipros for Monte Carlo simulation of BLI and FMI. Currently incorporated image reconstruction programs include CASToR for SPECT and PET as well as RTK for CBCT. MetaImage (mhd) standard is used for voxelized phantom and image data format. Meshlab project (mlp) containers incorporating polygon meshes and point clouds defined by the Stanford triangle format (ply) are employed to represent anatomical structures for optical simulation, and to represent tumour cell inserts. A number of auxiliary programs have been developed for data transformation and adaptive parameter assignment. The software workflow uses fully automatic distribution to, and consolidation from, any number of Linux workstations and CPU cores. Example data are presented for clinical SPECT, PET and MRI systems using the Mida head phantom and for preclinical X-ray, PET and BLI systems employing the Digimouse phantom. The presented method unifies and simplifies multimodal simulation setup and image reconstruction management and might be of value for synergistic image research. This article is part of the theme issue ‘Synergistic tomographic image reconstruction: part 2’.

2014 ◽  
Vol 12 (3) ◽  
pp. 031702-31706 ◽  
Author(s):  
Mengyu Jia Mengyu Jia ◽  
Shanshan Cui Shanshan Cui ◽  
Xueying Chen Xueying Chen ◽  
Ming Liu Ming Liu ◽  
Xiaoqing Zhou Xiaoqing Zhou ◽  
...  

2013 ◽  
Vol 61 (2) ◽  
Author(s):  
Norhafizah Ramli ◽  
Siti Syazalina Mohd Sobani

This study focused on developing software for image reconstruction system of optical image data obtained from four projections of CMOS linear image sensors by using MATLAB. Four projections of collimated light beams at least must be used in order to avoid aliasing and smear effect that may be appeared on the reconstructed image obtained. The image reconstruction is based on linear back-projection method where transpose matrix, and pseudo-inverse matrix are used to solve inverse matrix problems in MATLAB. Results were compared between both inverse problem calculation methods selected. It was discovered that transpose matrix method performs better than pseudo–inverse matrix for a high resolution images. A graphical user interface has been implemented, it is capable to reconstruct image from raw data collected from sensor. Reconstruction results demonstrated in most cases are able to produce an adequate image for further analysis by user.


1986 ◽  
Vol 21 (3) ◽  
pp. 185-189 ◽  
Author(s):  
Masamichi SEKIGUCHI ◽  
Masahiro ENDO ◽  
Takeshi A. IINUMA ◽  
Osamu MATUOKA

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