DocumentCode
1786039
Title
Simultaneous speckle reduction of echocardiography frame sequence using PCA
Author
Jalali, Mohammad ; Behnam, Hamid ; Gifani, Parisa ; Sani, Zahra Alizadeh
Author_Institution
Dept. of Biomed. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
fYear
2014
fDate
20-22 May 2014
Firstpage
1863
Lastpage
1867
Abstract
By development of ultrasound technology, ultrasonic imaging has become a frequently used diagnostic tool. The main benefit for this system is real-time imaging and being safe compared to other methods of imaging like Magnetic Resonance Imaging (MRI). A challenging issue for ultrasonic imaging is low quality due to naturally inherited speckle noise. In this paper, we have proposed an accurate despeckling method which uses temporal information of echocardiography frames instead of spatial characteristics to reduce speckle in each frame. Data matrix is formed by placing Intensity Variation Time Curves (IVTC) as columns and change in the basis of information is done by Principal Component Analysis (PCA). This method is faster than other reported methods and also does not have the deficiency of image blurring contrary to most other techniques. Results for this technique are evaluated both quantitatively, using evaluation criteria and qualitatively from the viewpoint of an expert.
Keywords
echocardiography; image denoising; image restoration; image sequences; medical image processing; principal component analysis; speckle; ultrasonic imaging; MRI; PCA; accurate despeckling method; data matrix; diagnostic tool; echocardiography frame sequence; evaluation criteria; image blurring; intensity variation time curves; magnetic resonance imaging; naturally inherited speckle noise; principal component analysis; real-time imaging; simultaneous speckle reduction; ultrasonic imaging; ultrasound technology; Echocardiography; Image edge detection; Principal component analysis; Signal to noise ratio; Speckle; Ultrasonic imaging; Intensity Variation Time Curves; echocardiography; image enhancement; principle component analysis; speckle noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Engineering (ICEE), 2014 22nd Iranian Conference on
Conference_Location
Tehran
Type
conf
DOI
10.1109/IranianCEE.2014.6999843
Filename
6999843
Link To Document