title: Hybrid Pixel-Based Method for Cardiac Ultrasound Fusion Based on Integration of PCA and DWT.
abstract: Medical image fusion is the procedure of combining several images from one or multiple imaging modalities. In spite of numerous attempts in direction of automation ventricle segmentation and tracking in echocardiography, due to low quality images with missing anatomical details or speckle noises and restricted field of view, this problem is a challenging task. This paper presents a fusion method which particularly intends to increase the segment-ability of echocardiography features such as endocardial and improving the image contrast. In addition, it tries to expand the field of view, decreasing impact of noise and artifacts and enhancing the signal to noise ratio of the echo images. The proposed algorithm weights the image information regarding an integration feature between all the overlapping images, by using a combination of principal component analysis and discrete wavelet transform. For evaluation, a comparison has been done between results of some well-known techniques and the proposed method. Also, different metrics are implemented to evaluate the performance of proposed algorithm. It has been concluded that the presented pixel-based method based on the integration of PCA and DWT has the best result for the segment-ability of cardiac ultrasound images and better performance in all metrics.
authors.affiliation: Faculty of Computer Science and Information Technology, Universiti Putra Malaysia (UPM), 43400 Serdang, Selangor, Malaysia.
authors.forename: Samaneh
authors.identifier: 0000-0003-2996-6215
authors.initials: S
authors.lastname: Mazaheri
authors.affiliation: Faculty of Computer Science and Information Technology, Universiti Putra Malaysia (UPM), 43400 Serdang, Selangor, Malaysia.
authors.forename: Puteri Suhaiza
authors.initials: PS
authors.lastname: Sulaiman
authors.affiliation: Faculty of Computer Science and Information Technology, Universiti Putra Malaysia (UPM), 43400 Serdang, Selangor, Malaysia.
authors.forename: Rahmita
authors.initials: R
authors.lastname: Wirza
authors.affiliation: Cardiothoracic Unit, Surgical Cluster, Faculty of Medicine, 40450 Shah Alam, Selangor, Malaysia.
authors.forename: Mohd Zamrin
authors.initials: MZ
authors.lastname: Dimon
authors.affiliation: Faculty of Computer Science and Information Technology, Universiti Putra Malaysia (UPM), 43400 Serdang, Selangor, Malaysia.
authors.forename: Fatimah
authors.initials: F
authors.lastname: Khalid
authors.affiliation: Faculty of Computer Science and Information Technology, Universiti Putra Malaysia (UPM), 43400 Serdang, Selangor, Malaysia.
authors.forename: Rohollah
authors.initials: R
authors.lastname: Moosavi Tayebi
mesh_terms: D000465:Algorithms; D019295:Computational Biology; D004452:Echocardiography / Q000706:statistics & numerical data*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D025341:Principal Component Analysis; D058067:Wavelet Analysis