Advancements and Breakthroughs in Ultrasound Imaging

Ultrasonic imaging is a powerful diagnostic tool available to medical practitioners, engineers and researchers today. Due to the relative safety, and the non-invasive nature, ultrasonic imaging has become one of the most rapidly advancing technologies. These rapid advances are directly related to the parallel advancements in electronics, computing, and transducer technology together with sophisticated signal processing techniques. This book focuses on state of the art developments in ultrasonic imaging applications and underlying technologies presented by leading practitioners and researchers from many parts of the world

Cyclic variation of the common carotid artery structure in relation to prior atherosclerotic burden and physical activity

Background and aims: Cardiovascular disease (CVD) accounts for the most deaths of non-communicable diseases worldwide. It begins with structural and functional changes of the arterial system commonly known as the atherosclerotic process, starting asymptomatically in early childhood, adapting arterial structure and function with advancing age depending on genetic and environmental exposures and finally resulting in CVD events such as myocardial infarction or stroke. CVD risk prediction today is generally based on risk scores, but substantial disadvantages occur since they account only for specific risk factors at one time point. Carotid structure and function (also called carotid stiffness) parameters measured by ultrasound may overcome this disadvantage, since they can provide information on structural and elastic carotid properties and reflect therefore vascular damage accumulated over time. Thus, the aims of this thesis were to summarize the state of the art of ultrasound measurements, to validate the new developed ultrasound analysis system, to assess the variability and reproducibility within the study sample and to investigate the long- and short-term associations of cardiovascular risk factors and carotid stiffness with main focus on physical activity in elderly participants of the SAPALDIA cohort. Methods: The SAPALDIA cohort study is an ongoing multicenter study with a population-based random sample of adults from eight rural and urban areas started in 1991 (SAPALDIA 1), with a first follow-up in 2001-2003 (SAPALDIA 2) and a second follow-up in 2010-2011 (SAPALDIA 3). In SAPALDIA 3, sequential B-mode ultrasound images of the common carotid artery were examined in 3489 participants (51% women) aged between 50-81 years at the time of examination. Expert readers analyzed these ultrasound images with a new analysis system called DYARA (DYnamic ARtery Analysis) according to the state of the art assessed in the review. Thereof, carotid structure parameters were measured and carotid stiffness indices were derived considering blood pressure at time of ultrasound assessment. Validation of the ultrasound analysis program DYARA and reproducibility of carotid parameters were performed in subgroup within the SAPALDIA 3 survey. The presented studies within this thesis comprise cardiovascular risk factor data from the first and second follow-up and therefore, long- and short-term associations with carotid stiffness could be investigated. Results: The intra- and inter-reader results of the validation study were highly consistent with slightly higher bias for analyses with manual interactions compared to the automatic detection. Among the carotid structure parameters, average values across heart cycle showed lower variability than single images in diastole and systole, whereby the relative difference was smaller in lumen diameter values compared to the carotid intima media thickness (CIMT). Based on different statistical approaches, reproducibility values within SAPALDIA 3 were consistently good to excellent for carotid structure and function indices. Findings additionally revealed that subjects itself were the greatest source of variability between two measurements. Multivariate regression analyses suggested that most single cardiovascular risk factors in SAPALDIA 2 were long-termly associated with increased carotid stiffness in SAPALDIA 3 except physical activity and high-density lipoprotein cholesterol (HDL-C). HDL-C was the only protective vascular determinant and no relation was observed for physical activity. Most carotid stiffness parameters were similar strong associated within each cardiovascular risk factor (except compliance showed main deviances among several risk factors). Estimating sex-specific associations of atherosclerotic risk factors and carotid stiffness indicated that increased heart rate was more strongly associated with stiffer arteries across all carotid stiffness parameters in men than in women. Low-density lipoprotein cholesterol (LDL-C) was significantly associated with carotid stiffness only in men and triglyceride only in women. Multifactorial pathway analyses of cardiovascular risk factors in SAPALDIA 3 showed that age was the strongest predictor of carotid stiffness, followed by mean arterial blood pressure and heart rate. Age strongly confounded the association of physical activity and carotid stiffness in multiple regression analyses and therefore, only an univariate association of physical activity and carotid stiffness could be observed. Conclusion: DYARA tackles the challenge of being able to analyze varying ultrasound image qualities with high precision. The high reproducibility and the feasible application in a large sample size suggest that this program can be recommended for epidemiological research, diagnostics and clinical practice. Long- and short-term cardiovascular exposures have added important information to the overall vascular damage assessed by carotid stiffness for both sexes. Although age was the strongest predictor, sex-differences in long-term associations may indicate a certain differentiated susceptibility to cardiovascular risk factors among men and women, which should be investigated in more detail. The presented studies within this thesis provide an important basis towards future investigations targeting the early and late consequences of atherosclerosis, its progression and possible implementations of preventive and/or personalized interventions

Combinatorial optimisation for arterial image segmentation.

Cardiovascular disease is one of the leading causes of the mortality in the western world. Many imaging modalities have been used to diagnose cardiovascular diseases. However, each has different forms of noise and artifacts that make the medical image analysis field important and challenging. This thesis is concerned with developing fully automatic segmentation methods for cross-sectional coronary arterial imaging in particular, intra-vascular ultrasound and optical coherence tomography, by incorporating prior and tracking information without any user intervention, to effectively overcome various image artifacts and occlusions. Combinatorial optimisation methods are proposed to solve the segmentation problem in polynomial time. A node-weighted directed graph is constructed so that the vessel border delineation is considered as computing a minimum closed set. A set of complementary edge and texture features is extracted. Single and double interface segmentation methods are introduced. Novel optimisation of the boundary energy function is proposed based on a supervised classification method. Shape prior model is incorporated into the segmentation framework based on global and local information through the energy function design and graph construction. A combination of cross-sectional segmentation and longitudinal tracking is proposed using the Kalman filter and the hidden Markov model. The border is parameterised using the radial basis functions. The Kalman filter is used to adapt the inter-frame constraints between every two consecutive frames to obtain coherent temporal segmentation. An HMM-based border tracking method is also proposed in which the emission probability is derived from both the classification-based cost function and the shape prior model. The optimal sequence of the hidden states is computed using the Viterbi algorithm. Both qualitative and quantitative results on thousands of images show superior performance of the proposed methods compared to a number of state-of-the-art segmentation methods

Vocal fold vibratory and acoustic features in fatigued Karaoke singers

Session 3aMU - Musical Acoustics and Speech Communication: Singing Voice in Asian CulturesKaraoke is a popular singing entertainment particularly in Asia and is gaining more popularity in the rest of world. In Karaoke, an amateur singer sings with the background music and video (usually guided by the lyric captions on the video screen) played by Karaoke machine, using a microphone and an amplification system. As the Karaoke singers usually have no formal training, they may be more vulnerable to vocal fatigue as they may overuse and/or misuse their voices in the intensive and extensive singing activities. It is unclear whether vocal fatigue is accompanied by any vibration pattern or physiological changes of vocal folds. In this study, 20 participants aged from 18 to 23 years with normal voice were recruited to participate in an prolonged singing task, which induced vocal fatigue. High speed laryngscopic imaging and acoustic signals were recorded before and after the singing task. Images of /i/ phonation were quantitatively analyzed using the High Speed Video Processing (HSVP) program (Yiu, et al. 2010). It was found that the glottis became relatively narrower following fatigue, while the acoustic signals were not sensitive to measure change following fatigue. © 2012 Acoustical Society of Americapublished_or_final_versio

Advances in quantitative coronary and vascular angiography

The main objective of this thesis is to develop new, accurate and reproducible automated methods for the detection and quantification of lesions in coronary and peripheral X-ray angiograms, which make it possible to extend the straight segment analysis to analyses of sidebranches and bifurcations. We introduce new methods for the detection of pathlines (Wavepath), the detection of arterial contours (Wavecontour) and the measurement of diameter sizes in straight segments, sidebranches and bifurcations. These methods are designed to increase reproducibility and decrease the influence of user interaction. These new methods are validated extensively in coronary and vascular angiograms, proving their accuracy and reproducibility. Furthermore we developed two new bifurcation models (Y-shape and T-shape) in order to accurately measure the diameters and lesion parameters of an entire bifurcation. The models, including their edge segment analyses, are validated extensively in a clinical validation study in order to assess the inter- and intra-observer variability on pre- and post-intervention data. Overall we can conclude that our goal of improving the QCA analysis and extend it towards the new morphologies and new intervention techniques has been met.Nederlandse Hartstichting Stichting inz. Doelfonds Beeldverwerking Medis medical imaging systems bv, LeidenUBL - phd migration 201