scholarly journals Dose reduction for CT coronary calcium scoring with a calcium-aware image reconstruction technique: a phantom study

2020 ◽  
Vol 30 (6) ◽  
pp. 3346-3355 ◽  
Author(s):  
Ronald Booij ◽  
Niels R. van der Werf ◽  
Ricardo P. J. Budde ◽  
Daniel Bos ◽  
Marcel van Straten
2014 ◽  
Vol 24 (9) ◽  
pp. 2201-2212 ◽  
Author(s):  
Martin J. Willemink ◽  
Richard A. P. Takx ◽  
Pim A. de Jong ◽  
Ricardo P. J. Budde ◽  
Ronald L. A. W. Bleys ◽  
...  

2020 ◽  
Author(s):  
Shengzhen Tao ◽  
Emily Sheedy ◽  
Michael Bruesewitz ◽  
Nikkole Weber ◽  
Kyle Williams ◽  
...  

2016 ◽  
Vol 10 (1) ◽  
pp. 69-75 ◽  
Author(s):  
Martin J. Willemink ◽  
Annemarie M. den Harder ◽  
Wouter Foppen ◽  
Arnold M.R. Schilham ◽  
Rienk Rienks ◽  
...  

2014 ◽  
Vol 30 (6) ◽  
pp. 1125-1133 ◽  
Author(s):  
Annemarie M. den Harder ◽  
Martin J. Willemink ◽  
Ronald L. A. W. Bleys ◽  
Pim A. de Jong ◽  
Ricardo P. J. Budde ◽  
...  

2015 ◽  
Vol 8 (3) ◽  
pp. 161
Author(s):  
Samuel Gideon

This research was conducted as a learning alternatives for study of CT (computed tomograpghy) imaging using image reconstruction technique which are inversion matrix, back projection and filtered back projection. CT imaging can produce images of objects that do not overlap. Objects more easily distinguishable although given the relatively low contrast. The image is generated on CT imaging is the result of reconstruction of the original object. Matlab allows us to create and write imaging algorithms easily, easy to undersand and gives applied and exciting other imaging features. In this study, an example cross-sectional image recon-struction performed on the body of prostate tumors using. With these methods, medical prac-titioner (such as oncology clinician, radiographer and medical physicist) allows to simulate the reconstruction of CT images which almost resembles the actual CT visualization techniques.Keywords : computed tomography (CT), image reconstruction, Matlab


Author(s):  
Hala T. Salem ◽  
Eman A.S. Sabek

Aim and Objective: To estimate the relationship between Coronary Calcium Scoring (CCS)and presence of different degrees of obstructive coronary artery disease (CAD) to avoid unnecessary examinations and hence unnecessary radiation exposure and contrast injection. Background: Coronary Calcium Scoring (CCS) is a test uses x-ray equipment to produce pictures of the coronary arteries to determine the degree of its narrowing by the build-up of calcified plaques. Despite the lack of definitive data linking ionizing radiation with cancer, the American Heart Association supports widely that practitioners of Computed tomography Coronary Angiography (CTCA) should keep “patient radiation doses as low as reasonably achievable but consistent with obtaining the desired medical information”. Methods: Data obtained from 275 CTCA examinations were reviewed. Radiation effective doses were estimated for both CCS and CTCA, measures to keep it as low as possible were presented, CCS and Framingham risk estimate were compared to the final results of CTCA to detect sensitivity and specificity of each one in detecting obstructive lesions. Results: CCS is a strong discriminator for obstructive CAD and can with high sensitivity and specificity and correlates well with the degree of obstruction even more than Framingham risk estimate which has high sensitivity and low specificity. Conclusion: CCS helps reducing the effective radiation dose if properly evaluated to skip unnecessary CTCA if obstructive lesions was unlikely, and as a test does not use contrast material, harmful effect on the kidney will be avoided as most of coronary atherosclerotic patients have renal problems.


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