Suhaini B. Kadiman

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Medical image processing is nowadays one of the best tools to make an informative model from a raw image of each part of the body, and segmentation is the most important step in which used to extract significant features. Coronary artery segmentation algorithm in angiograms is a fundamental component of each cardiac image processing system. There are lots(More)
Segmentation is an important step in medical imaging to acquire qualitative measurements such as the location of the desired objects and also for quantitative measurements such as area, volume or the analysis of dynamic behaviour of anatomical structures over time. Among these images, ultrasound images play a crucial role, because they can be produced on(More)
Echocardiography imaging is one of the most widely used diagnostic tests for cardiovascular diseases which allow direct visualization of cardiac structure and ventricles wall motion. It can provide useful information, including the size and shape of the heart. An accurate method for border detection of ventricle wall motion is still important clinical(More)
OBJECTIVE The aim of this study was to determine the best predictors of successful extubation after cardiac surgery, by modifying the rapid shallow breathing index (RSBI) based on patients' anthropometric parameters. DESIGN Single-center prospective observational study. SETTING Two general intensive care units at a single research institute. (More)
This paper presents a hybrid method to extract endocardial contour of the right ventricular (RV) in 4-slices from 3D echocardiography dataset. The overall framework comprises four processing phases. In Phase I, the region of interest (ROI) is identified by estimating the cavity boundary. Speckle noise reduction and contrast enhancement were implemented in(More)
This research aims to develop three dimensional geometrical tricuspid valve model using transesophagel echocardiography raw images (3DTEE). Main motivation that derives this research is the needs of volumetric image segmentation for surgical planning, post-surgical assessment, abnormality detection, and many other medical application. The challenge stands(More)
Images corrupted by the noise during either transmission or acquisition process. Filtering and or smoothing an important task to reduce the effect of noises that contaminates images. Hence the processed image is useful for further applications. This paper analyses the suitable smoothing filter for the edge mask derived using Third Order Difference Equation(More)
The complexity and criticality of heart disease diagnosis and treatment have frequently attracted the attention of researchers to develop approaches that can handle accurate clinical assessments. One of these complexities is measuring the Right Ventricle stroke volume. Therefore, different cardiac imaging techniques have been developed to help specialists(More)
Coronary arterial tree extraction in angiograms is an essential component of each cardiac image processing system. Once physicians decide to check up coronary arteries from x-ray angiograms, extraction must be done precisely, fast, automatically and including whole arterial tree to help diagnosis or treatment during the cardiac surgical operation. This(More)
Corresponding Author: Anas A. Abboud Department of Computer Science and Information Technology, University Putra Malaysia, 43400, Serdang, Malaysia Email: Abstract: Accurate detection of the End-Diastolic (ED) and EndSystolic (ES) frames of a cardiac cycle are significant factors that may affect the accuracy of abnormality(More)
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