Improved detection of the central reflex in retinal vessels using a generalized dual-gaussian model and robust hypothesis testing [0.03%]
基于广义双高斯模型及鲁棒假设检验的视网膜血管中心线检测改进方法
Harihar Narasimha-Iyer,Vijay Mahadevan,James M Beach et al.
Harihar Narasimha-Iyer et al.
This updates an earlier publication by the authors describing a robust framework for detecting vasculature in noisy retinal fundus images. We improved the handling of the "central reflex" phenomenon in which a vessel has a "hollow" appearan...
Yong-Sheng Yan,Yuan-Ting Zhang
Yong-Sheng Yan
Reduction of motion artifact and power saving are crucial in designing a wearable pulse oximeter for long-term telemedicine application. In this paper, a novel algorithm, minimum correlation discrete saturation transform (MCDST) has been de...
Gilles Virone,Majd Alwan,Siddharth Dalal et al.
Gilles Virone et al.
In this paper, we examine at-home activity rhythms and present a dozen of behavioral patterns obtained from an activity monitoring pilot study of 22 residents in an assisted living setting with four case studies. Established behavioral patt...
Stergiani Spyrou,Panagiotis D Bamidis,Nicos Maglaveras et al.
Stergiani Spyrou et al.
A reliability model for a health care domain based on requirement analysis at the early stage of design of regional health network (RHN) is introduced. RHNs are considered as systems supporting the services provided by health units, hospita...
State-based modeling and object extraction from echocardiogram video [0.03%]
基于状态的超声心动图视频模型化和目标提取方法研究
Aditi Roy,Shamik Sural,Jayanta Mukherjee et al.
Aditi Roy et al.
In this paper, we propose a hierarchical state-based model for representing an echocardiogram video. It captures the semantics of video segments from dynamic characteristics of objects present in each segment. Our objective is to provide an...
Accuracy in prediction of catheter rotation in IVUS with feature-based optical flow--a phantom study [0.03%]
基于特征的光学流技术在IVUS中预测导管旋转准确性的离体研究
Mikhail G Danilouchkine,Frits Mastik,Antonius F W van der Steen
Mikhail G Danilouchkine
The quantitative assessment of and compensation for catheter rotation in intravascular ultrasound images presents a fundamental problem for noninvasive characterization of the mechanical properties of the coronary arteries. A method based o...
Azimuthal registration of image sequences affected by nonuniform rotation distortion [0.03%]
受非均匀旋转畸变影响的图像序列的方位配准
Gijs van Soest,Johan G Bosch,Antonius F W van der Steen
Gijs van Soest
Imaging modalities that use a mechanically rotated endoscopic probe to scan a tubular volume, such as an artery, often suffer from image degradation due to nonuniform rotation distortion (NURD). In this paper, we present a new method to ali...
Shape-driven segmentation of the arterial wall in intravascular ultrasound images [0.03%]
基于形状的血管内超声图像动脉壁分割方法
Gozde Unal,Susann Bucher,Stephane Carlier et al.
Gozde Unal et al.
Segmentation of arterial wall boundaries from intravascular images is an important problem for many applications in the study of plaque characteristics, mechanical properties of the arterial wall, its 3-D reconstruction, and its measurement...
Unifying statistical classification and geodesic active regions for segmentation of cardiac MRI [0.03%]
统一体化统计分类和测地线活动区域的心脏MRI分割方法
Jenny Folkesson,Eigil Samset,Raymond Y Kwong et al.
Jenny Folkesson et al.
This paper presents a segmentation method that extends geodesic active region methods by the incorporation of a statistical classifier trained using feature selection. The classifier provides class probability maps based on class representa...
Challenges in atherosclerotic plaque characterization with intravascular ultrasound (IVUS): from data collection to classification [0.03%]
基于血管内超声的动脉粥样硬化斑块特征研究：从数据采集到分类的问题与挑战
Amin Katouzian,Shashidhar Sathyanarayana,Babak Baseri et al.
Amin Katouzian et al.
In vivo plaque characterization is an important research field in interventional cardiology. We will study the realistic challenges to this goal by deploying 40 MHz single-element, mechanically rotating transducers. The intrinsic variabilit...