DocumentCode
3049943
Title
Notice of Retraction
Multiscale ART Algorithm and Its Application in Low-Does CT
Author
Li Dongyu ; Huang Zhen ; Jing Xili ; Shao Lexi
Author_Institution
Coll. of Phys., Zhanjiang Normal Coll., Zhanjiang
fYear
2007
fDate
6-8 July 2007
Firstpage
709
Lastpage
712
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In order to protect patients and medical staffs, ensure the reconstructive image clarity and decrease the amount of the X-ray as less as possible, low-dose CT is in the ascendant. However, low-dose CT brings a serious problem, which is the incomplete projection data that arousing the reconstructive image low resolution. In this paper, we propose that the multiscale ART algorithm. The quad-tree of multiscale model is each coarse scale pixel corresponds to four pixels at the next finer scale, and inversion from coarse scale to finer scale. First, the image is reconstructed by coarse scale, to gain the image vectors. The image vectors then serve as initialization for the finer scale inversion, and reconstructed the imagery by this scale. The results show that multiscale ATR algorithm is very efficient and more robust with respect to local minima in the optimization.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In order to protect patients and medical staffs, ensure the reconstructive image clarity and decrease the amount of the X-ray as less as possible, low-dose CT is in the ascendant. However, low-dose CT brings a serious problem, which is the incomplete projection data that arousing the reconstructive image low resolution. In this paper, we propose that the multiscale ART algorithm. The quad-tree of multiscale model is each coarse scale pixel corresponds to four pixels at the next finer scale, and inversion from coarse scale to finer scale. First, the image is reconstructed by coarse scale, to gain the image vectors. The image vectors then serve as initialization for the finer scale inversion, and reconstructed the imagery by this scale. The results show that multiscale ATR algorithm is very efficient and more robust with respect to local minima in the optimization.
Keywords
computerised tomography; dosimetry; image reconstruction; medical image processing; coarse scale pixel; image vectors; low-does CT; multiscale algebraic reconstruction technique algorithm; reconstructive image resolution; Biomedical engineering; Biomedical imaging; Computed tomography; Educational institutions; Image reconstruction; Image resolution; Medical diagnostic imaging; Physics; Subspace constraints; X-ray imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
Conference_Location
Wuhan
Print_ISBN
1-4244-1120-3
Type
conf
DOI
10.1109/ICBBE.2007.185
Filename
4272669
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