Prostate tissue decomposition via DECT using the model based iterative image reconstruction algorithm DIRA

2014 ◽  
Author(s):  
Alexandr Malusek ◽  
Maria Magnusson ◽  
Michael Sandborg ◽  
Robin Westin ◽  
Gudrun Alm Carlsson
Keyword(s):  
Image Reconstruction ◽  
Reconstruction Algorithm ◽  
Prostate Tissue ◽  
Iterative Image Reconstruction ◽  
Image Reconstruction Algorithm ◽  
Model Based

A Fast Iterative Image Reconstruction Algorithm from Few-views Projections Data

2009 ◽  
Vol 29 (5) ◽  
pp. 1198-2004
Author(s):  
邹晶 Zou Jing ◽  
孙艳勤 Sun Yanqin ◽  
张朋 Zhang Peng
Keyword(s):  
Image Reconstruction ◽  
Reconstruction Algorithm ◽  
Iterative Image Reconstruction ◽  
Image Reconstruction Algorithm

scholarly journals Model-Based Hardware-Software Codesign of ECT Digital Processing Unit

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Atef Allam ◽  
Wael Deabes
Keyword(s):  
Image Reconstruction ◽  
Reconstruction Algorithm ◽  
Digital Processing ◽  
System Level ◽  
Inner Product ◽  
Processing Unit ◽  
Trade Off ◽  
Image Reconstruction Algorithm ◽  
Model Based ◽  
And Control

Image reconstruction algorithm and its controller constitute the main modules of the electrical capacitance tomography (ECT) system; in order to achieve the trade-off between the attainable performance and the flexibility of the image reconstruction and control design of the ECT system, hardware-software codesign of a digital processing unit (DPU) targeting FPGA system-on-chip (SoC) is presented. Design and implementation of software and hardware components of the ECT-DPU and their integration and verification based on the model-based design (MBD) paradigm are proposed. The inner-product of large vectors constitutes the core of the majority of these ECT image reconstruction algorithms. Full parallel implementation of large vector multiplication on FPGA consumes a huge number of resources and incurs long combinational path delay. The proposed MBD of the ECT-DPU tackles this problem by crafting a parametric segmented parallel inner-product architecture so as to work as the shared hardware core unit for the parallel matrix multiplication in the image reconstruction and control of the ECT system. This allowed the parameterized core unit to be configured at system-level to tackle large matrices with the segment length working as a design degree of freedom. It allows the trade-off between performance and resource usage and determines the level of computation parallelism. Using MBD with the proposed segmented architecture, the system design can be flexibly tailored to the designer specifications to fulfill the required performance while meeting the resources constraint. In the linear-back projection image reconstruction algorithm, the segmentation scheme has exhibited high resource saving of 43% and 71% for a small degradation in a frame rate of 3% and 14%, respectively.

scholarly journals Tensor framelet based iterative image reconstruction algorithm for low-dose multislice helical CT

PLoS ONE ◽  
2019 ◽  
Vol 14 (1) ◽  
pp. e0210410
Author(s):  
Haewon Nam ◽  
Minghao Guo ◽  
Hengyong Yu ◽  
Keumsil Lee ◽  
Ruijiang Li ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Low Dose ◽  
Helical Ct ◽  
Reconstruction Algorithm ◽  
Iterative Image Reconstruction ◽  
Image Reconstruction Algorithm ◽  
Multislice Helical Ct
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