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This paper presents a new methodology providing the first step towards generating attenuation maps for PET/MR systems based solely on MR information. The new method segments and classifies the attenuation-differing regions of the patient's pelvis based on acquired T1- and T2-weighted MR data sets and anatomical-based knowledge by computing the tissue specific T1 and T2 relaxation times, using a robust...
This chapter discusses the evaluation of the segmentation of the heart from images obtained from magnetic resonance imaging (MRI). It focuses on works achieved with cine MRI‐based dynamic images (gradient echo‐based and in particular steady‐state free precession (SSFP)‐based sequences). The use of cine‐MRI sequences is today the reference technique for studying the cardiac function. The use of kinetic...
Current indications for aortic surgery are solely based on maximum aortic diameter and have proven to be nonreliable. There is an urgent need of pertinent information to aid physicians assess surgical risk-benefits and develop an adequate treatment for the patient as the morbidity and mortality risks for these interventions are considerably high. In this paper, we present an algorithm that semi-automatically...
In this study, we developed a novel method for a fullyautomatic segmentation and quantification of myocardialinfarction from delay enhancement - magnetic resonanceimaging. Hyper-enhanced region corresponding to the infarctcore is separated from normal tissue via a Gaussian mixturemodel. Then, peri-infarct area is determined by spatial-weightedfuzzy clustering. No-reflow area inside the infarct core...
A statistical method is proposed to compare several estimates of a relevant clinical parameter when no gold standard is available. The method is illustrated by considering the left ventricle ejection fraction derived from cardiac magnetic resonance images and computed using seven approaches with different degrees of automation. The proposed method did not use any a priori regarding with the reliability...
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