A5089324214- Cardiac Imaging and Diagnostics
- Cardiovascular Function and Risk Factors
- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Visual Attention and Saliency Detection
- Image and Signal Denoising Methods
- Olfactory and Sensory Function Studies
- Face Recognition and Perception
- Advanced Image and Video Retrieval Techniques
- Gaze Tracking and Assistive Technology
- Sparse and Compressive Sensing Techniques
- Advanced Image Processing Techniques
Helwan University
2014-2024
Abstract Salient object detection is an increasingly popular topic in the computer vision field, particularly for images with complex backgrounds and diverse parts. Background information essential factor detecting salient objects. This paper suggests a robust effective methodology detection. method involves two main stages. The first stage to produce saliency map based on dense sparse reconstruction of image regions using refined background dictionary. dictionary uses boundary conductivity...
Tagged Magnetic Resonance Imaging (tMRI) is considered to be the gold standard for quantitative assessment of cardiac local functions. However, tagging patterns and low myocardium-to-blood-pool contrast tagged images bring great challenges image processing analysis tasks such as myocardium segmentation tracking. Hence, there has been growing interest in techniques removing lines. In this work, a method MR using coupled dictionary learning (CDL) model proposed. model, identical sparse...
Tagged Magnetic Resonance Imaging (tMRI) is considered the gold standard for quantitative assessment of cardiac regional function. However, quantification global function from tMRI challenging due to low contrast between myocardium and blood in these images, hence, prevents accurate segmentation myocardium. In this work, a method enhancing myocardium-to-blood tagged MR images presented. First, tag pattern removed by accurately suppressing frequency components produce tagless images. Then,...
In this paper, we propose an effective saliency detection method based on dense and sparse representation in-terms of optimized background template. Firstly, the input image is divided into compact uniform super-pixels. Then, template produced by introducing boundary conductivity measurement to improve image's super-pixels in terms background, where reconstruction error represents a measure. Based template, two maps are generated representation. Finally, Bayesian framework used integrate...
Background Global measures of heart function, e.g. LV mass (LVM) and ejection fraction (EF), are usually measured from cine CMR images. On the other hand, regional myocardial contractility obtained tagged The acquisition both datasets consumes most exam duration. In this study, we present a method for estimating global function images after applying series mathematical operations to remove taglines enhance myocardium-blood contrast.