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1.
Article in Chinese | WPRIM | ID: wpr-455482

ABSTRACT

Objective To explore the diagnosis and treatment strategy of mammary duct ectasia.Methods The clinical data of 59 cases with mammary duct ectasia from January 2006 to December 2013 were analyzed retrospectively.Results The main clinical manifestations of mammary duct ectasia were mammary inflammatory mass in 46 cases,nipple discharge in 21 cases,nipple retraction in 18 cases,mammary abscess and mammary fistula in 8 cases.Definite diagnosis of mammary duct ectasia depended on pathology.All the patients were treated by operation,followed up for 3 months to 6 years,and none of them had recurrence.Conclusions Operation is the main method of curing mammary duct ectasia.To select proper operation time and method according to disease type,lesion size,location and scope.Thorough resection,repeat rinsing,wound clearance and immediate breast shape can not only cure disease,but also reserve breast configuration as possible.Therapeutic effect is satisfactory.

2.
Journal of Biomedical Engineering ; (6): 1194-1199, 2011.
Article in Chinese | WPRIM | ID: wpr-274927

ABSTRACT

Affine motion is common during PROPELLER magnetic resonance imaging (MRI) in abdomen or other soft tissues. The current algorithm, up till now, for affine motion compensation is based on frequency domain, which compensates the motion in k space and then reconstruct the final image based on gridding method. But aliasing and some tiny artifacts may exist. This paper proposed a new algorithm for affine motion compensation based on image domain. Firstly, exact affine motion information was obtained through the image registration, secondly k space coordinate was corrected for compensating the k space strips sampling density, then the images obtained from inverse FFT was compensated using motion information, finally the final results were composited after rotation. The experimental results showed that the proposed method could more effectively suppress the motion artifacts compared to the current algorithm.


Subject(s)
Humans , Abdomen , Pathology , Algorithms , Artifacts , Fourier Analysis , Image Processing, Computer-Assisted , Methods , Magnetic Resonance Imaging , Methods , Movement
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