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长春光学精密机械与物... [5]
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吉林大学白求恩第一医... [1]
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The application of adaptive enhancement algorithm based on gray entropy in mammary gland CR image (EI CONFERENCE)
会议论文
2012 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet 2012, April 21, 2012 - April 23, 2012, Three Gorges, China
Zhang M.-H.
;
Zhang Y.-Y.
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浏览/下载:24/0
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提交时间:2013/03/25
Mammary gland is composed entirely of soft tissue with approximate density
therefore mammary gland CR medicine radiation image presents a low contrast
and slight difference changes may be a manifestation of tumor
so it is necessary to enhance mammary gland CR image to improve its visual quality in order to meet the demands of doctor's clinical diagnosis. However the general enhancement algorithms over enhance the contrast and noise
due to image details lost
aiming at the defects
a mammary gland CR medicine image adaptive enhancement arithmetic based on image gray entropy is put forward. The arithmetic adapts dizzy image to magnify selected spatial frequency response in order to enhance the edge details of mammary gland CR images. It can adjust weighted factor K according to image gray characteristics namely pixel gray entropy. Experiments results demonstrate that mammary gland CR image enhanced by the algorithm has abundant details and high signal-to-noise ratio
moreover
CR image enhanced has good visual effect. So the method is effective and fit for enhancing CR medical radiation image edge details. 2012 IEEE.
Application of adaptive enhancement means in head and neck CR image (EI CONFERENCE)
会议论文
2012 3rd International Conference on Information Technology for Manufacturing Systems, ITMS 2012, September 8, 2012 - September 9, 2012, Qingdao, China
Zhang M.-H.
;
Zhang Y.-Y.
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浏览/下载:23/0
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提交时间:2013/03/25
Digital CR of head and neck overcomes the disadvantage of regular X-ray radiography
which can not reveal bone and soft tissue position deficiency in one exposing
and reduces the Xray radiation dose. Meanwhile
various factors cause the decline of image quality
and images must be enhanced in order to meet demands of doctor's clinical diagnosis. The general enhancement algorithms don't consider body's structure differences and density characteristics. A new adaptive CR enhancement algorithm was proposed in this article
and head and neck CR images were processed with this method and compared with linear unsharp masking method. The experiment proves that the details of CR image enhanced were abundant and enhanced CR image had good visual effect
SNR was high
as well as detail variance /background variance (DV/BV) indicating that this algorithm is suitable for head and neck CR medical images. (2012) Trans Tech Publications
Switzerland.
The research of digltal CR medicine image adapitive enhancement method (EI CONFERENCE)
会议论文
4th International Conference on Mechanical and Electrical Technology, ICMET 2012, July 24, 2012 - July 26, 2012, Kuala Lumpur, Malaysia
Ming-Hui Z.
;
Yao-Yu Z.
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浏览/下载:52/0
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提交时间:2013/03/25
Digital CR medicine radiation image is in doctor's favor and has became medicine imaging technology new hot spot because of its high gray contrast
powerful computer disposal function
little radiation dosage
non-film diagnosis
different area consultation. But degradation of digital X-ray medical image such as low contrast and blurring during radiographic imaging
caused by complexity of body tissue and effects of X-ray scattering and electrical noise etc.
can worsen the results of analysis and diagnosis. So it is usually needed that CR medicine image is enhanced to improve its vision quality
and easy to doctor's more accurate diagnosis. The general enhancement algorithms over enhancing the contrast and lose image details
aiming at the defects
an enhancement algorithm for CR image is proposed based on the ratio of deviation to mean of domain. The arithmetic enhance CR image edge details by adjusting factor K based on the ratio of deviation to mean of domain of CR image. Experiment results demonstrate that the algorithm enhances CR image detail and CR image enhanced has good visual effect
the adaptive enhancement method is fit for CR medicine image. (2012) Trans Tech Publications
Switzerland.
An adaptive enhancement means adapt to CR medicine image (EI CONFERENCE)
会议论文
International Conference on Image Processing and Pattern Recognition in Industrial Engineering, August 7, 2010 - August 8, 2010, Xi'an, China
Zhang M.-H.
;
Zhang Y.-Y.
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浏览/下载:17/0
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提交时间:2013/03/25
It puts forward CR medicine image adaptive enhancement arithmetic based on the ratio of image variance to noise variance which can adjust factor K bases on CR image gray characteristic and enhance image detail and improve image diagnosis value. Experiment results demonstrate that the algorithm enhances CR image detail and the value of DV/BV was higher than the other algorithms
moreover CR image enhanced has good visual effect
the method is fit for edge detail enhancement of CR medicine radiation image. 2010 SPIE.
Cr image enhancement based on human visual characteristics (EI CONFERENCE)
会议论文
2010 International Conference on Computer Design and Applications, ICCDA 2010, June 25, 2010 - June 27, 2010, Qinhuangdao, Hebei, China
Zhang M.-H.
;
Zhang Y.-Y.
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浏览/下载:18/0
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提交时间:2013/03/25
The characteristic of digital CR medicine radiation image has wide dynamic range
abundant details and bad contrast
so it is necessary to enhance CR image to the need of doctor diagnosis. But the general enhancement algorithms don't consider human visual characteristics
so it puts forward CR medicine image adaptive enhancement algorithm combining the human visual property
which is more sensitive to smooth area noise compared with detail area noise
and makes image edge detail enhancement great in detail area
and detail enhancement little in smooth area
in which factor K is based on space change of image domain
accordingly gaining non-linear enhancement edge details of CR image. Experiment results demonstrate that the algorithm enhances CR image detail and CR image enhanced has good visual effect
so the method is fit for edge detail enhancement of CR medicine radiation image. 2010 IEEE.
Deformation Estimated Using a Multiresolution Wavelet Representation for Adaptive Radiation Therapy
会议论文
2010 3rd International Conference on Biomedical Engineering and Informatics (BMEI 2010), OCT 16-18, 2010
作者:
Li, Dengwang
;
Wang, Xiuying
;
Wang, Hongjun
;
Yin, Yong
;
Feng, David Dagan
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浏览/下载:3/0
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提交时间:2019/12/31
deformable registration
wavelet
multiresolution
cone beam CT
Planing
CT
adaptive radiation therapy
EFFECT OF LOW-DOSE RADIATION ON REPAIR OF DNA AND CHROMOSOME-DAMAGE
会议论文
作者:
CAI, L
;
SUN, JB
;
LIU, SZ
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浏览/下载:2/0
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提交时间:2019/12/05
LOW-DOSE RADIATION
UDS
DNA POLYMERASE
CHROMOSOME ABERRATION
ADAPTIVE RESPONSE
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