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The segmentation and classification of the major intra-hepatic blood vessels are critical for the robust identification of the segmental anatomy of the liver. We propose a novel 4D graph-based method to segment and label the hepatic and portal veins. The algorithm uses multi-phase CT images to model the differential enhancement of the liver structures and Hessian-based vesselness likelihood to avoid...
Graphs are useful representations of the liver vasculature. They support tree matching algorithms in landmark-based registration algorithms, they are useful to separate connected vessels from two different vessel systems and are the basis of vessel annotation tools. In this paper, we propose a hierarchical decomposition of vessel skeletons into sub-branches. This simplifies the process of creating...
Abnormalities in the retinal vessel tree are associated with different pathologies. Usually, they affect arteries and veins differently. In this regard, the arteriovenous ratio(AVR) is a measure of retinal vessel caliber, widely used in medicine to study the influence of these irregularities in disease evolution. Hence, the development of an automatic tool for AVR computation as well as any other...
Accurate segmentation of lung texture tree is an essential step for diagnosing pulmonary diseases, including pulmonary emboli and nodules detection, which provides powerful information for research of automatic computer-aided diagnostic (CAD) systems. It still remains a challenging problem because of partial volume effects, high density airway walls and no difference on CT values between arteries...
Hepatic vessel trees are the key structures for hepatic disease diagnosis and liver surgery planning. They are especially useful in estimating the volumes of the left and right hepatic lobes, integral for maximizing the safety of the donor and the recipient during a living donors liver transplantation (LDLT). In this paper, we propose the following steps for the automated segmentation of hepatic vessel...
In this paper we introduce a framework for the quantitative assessment of perfusion in peripheral body parts on state of the art flat detector C-arm systems, which enable direct and quantitative outcome control of the success of complex procedures. The method is based on a two-scan acquisition protocol. First a rotational soft tissue scan is made to extract the 3D anatomy of the perfused area (vascular...
The amplitude of the BOLD signal depends heavily upon the resting blood volume fraction (V0). However, most existing haemodynamic data assimilation studies pretermit such concern through assigning arbitrarily the value in a physiological plausible range. In this work, we presented the first exploration of the influence of the fraction V0 to model estimation, where the exact value of V0 was calibrated...
This paper describes and evaluates methods to detect pulmonary vein drainages and create detailed vessel trees of each drainage from contrast-enhanced magnetic resonance angiography (MRA). This description of the drainage allow us to determine the highly complex left atrial anatomy in a qualitative and quantitative way. It is beneficial for planning atrial fibrillation ablation procedures. We conclude...
Sublingual vein is one important diagnostic measurement in Tongue Diagnosis. Segmentation method of sublingual veins from the near infrared sublingual images is proposed in this paper. According to the characteristic of the captured near infrared sublingual images, the radial projection method based on watershed algorithm is firstly applied to acquire the entire contour of the sublingual region, and...
Characteristics of tongue pose the most important information for tongue diagnosis. So far, extensive studies have been made on extracting tongue surface features. Meanwhile, the sublingual vein diagnosis, one important part of tongue diagnosis, has received increasing attention. In this paper, a novel image acquisition device specially designed for capturing sublingual vein images is introduced....
The function of left atrium can be accurately estimated non-invasively using 4D CT cardiac images. A self-developed image analysis program will first reconstruct 3D volume of heart. Then, one may re-sample images for accurately deleting the 4 pulmonary veins from the atrium and set the boundary. With the prior processed information, the active contour methodology and seed regional growth methodology...
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