Abstract
The advent of real-time 3-D echocardiography (RT3DE) promised dynamic 3-D image acquisition with the potential of a more objective and complete functional analysis. In spite of that, 2-D echocardiography remains the backbone of echocardiography imaging in current clinical practice, with RT3DE mainly used for clinical research. The uptake of RT3DE has been slow because of missing anatomic information, limited field-of-view (FOV) and tedious analysis procedures. This paper presents multiview fusion 3D echocardiography, where multiple images with complementary information are acquired from different probe positions. These multiple images are subsequently aligned and fused together for preserving salient structures in a single, multiview fused image. A novel and simple wavelet-based fusion algorithm is proposed that exploits the low- and high-frequency separation capability of the wavelet analysis. The results obtained show that the proposed multiview fusion considerably improves the contrast (31.1%), contrast-to-noise ratio (46.7%), signal-to-noise ratio (44.7%) and anatomic features (12%) in 3-D echocardiography, and enlarges the FOV (28.2%). This indicates that multiview fusion substantially enhances the image quality and information.
Original language | English |
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Pages (from-to) | 1056-1072 |
Number of pages | 17 |
Journal | Ultrasound in Medicine and Biology |
Volume | 37 |
Issue number | 7 |
DOIs | |
Publication status | Published - Jul 2011 |
Bibliographical note
Funding Information:This work was funded in parts by grant from Higher Education Commission, Pakistan and EPSRC grant EP/G030693/1 . The first author acknowledges the helpful discussion on wavelet analysis with Dr. Nasir Rajpoot of University of Warwick.
Keywords
- Cardiac imaging
- Left ventricle
- Multiview fusion
- Real-time 3D echocardiography
- Ultrasound
ASJC Scopus subject areas
- Radiological and Ultrasound Technology
- Biophysics
- Acoustics and Ultrasonics