Adaptive noise reduction in ultrasound imaging

Author

Tuan Le

Author_Institution

Rutgers Univ., New Brunswick, NJ, USA

fYear

2014

fDate

13-13 Dec. 2014

Firstpage

1

Lastpage

1

Abstract

The solution in assisting practitioners in venipuncture is to design a full autonomous venous access device, which integrating multiple methods of venous detection in performing precision cannula placement [1]. Particularly, B-mode ultrasound and near-infrared imaging techniques are studied to conduct vessel reconstruction. However, low light level intensity and inherent speckle noise are problematic for accurate vessel detection. Thus, an adaptive filtering method is necessary in vessel reconstruction.

Keywords

adaptive filters; biomedical optical imaging; biomedical ultrasonics; blood vessels; filtering theory; image denoising; image reconstruction; infrared imaging; medical image processing; speckle; ultrasonic imaging; B-mode ultrasound imaging; accurate vessel detection; adaptive filtering method; adaptive noise reduction; full autonomous venous access device; inherent speckle noise; integrating multiple methods; low light level intensity; near-infrared imaging; precision cannula placement; venipuncture; venous detection; vessel reconstruction; Decision making; Image edge detection; Imaging; Noise; Noise reduction; Speckle; Ultrasonic imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing in Medicine and Biology Symposium (SPMB), 2014 IEEE

Conference_Location

Philadelphia, PA

Type

conf

DOI

10.1109/SPMB.2014.7002961

Filename

7002961