IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Nov 24, 2020
One way of resolving the problem of scarce and expensive data in deep learning for medical applications is using transfer learning and fine-tuning a network which has been trained on a large data set. The common practice in transfer learning is to ke...
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Nov 24, 2020
Segmentation of cardiac structures is one of the fundamental steps to estimate volumetric indices of the heart. This step is still performed semiautomatically in clinical routine and is, thus, prone to interobserver and intraobserver variabilities. R...
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Nov 24, 2020
Despite being used clinically as a noninvasive flow visualization tool, color flow imaging (CFI) is known to be prone to aliasing artifacts that arise due to fast blood flow beyond the detectable limit. From a visualization standpoint, these aliasing...
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Nov 24, 2020
Electrocardiogram (ECG) is often used together with a spectral Doppler ultrasound to separate heart cycles by determining the end-diastole locations. However, the ECG signal is not always recorded. In such cases, the cardiac cycles can be estimated m...
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Nov 24, 2020
Single plane wave transmissions are promising for automated imaging tasks requiring high ultrasound frame rates over an extended field of view. However, a single plane wave insonification typically produces suboptimal image quality. To address this l...
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Nov 24, 2020
Shear-wave elastography (SWE) permits local estimation of tissue elasticity, an important imaging marker in biomedicine. This recently developed, advanced technique assesses the speed of a laterally traveling shear wave after an acoustic radiation fo...
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Nov 24, 2020
Deep fully connected networks are often considered "universal approximators" that are capable of learning any function. In this article, we utilize this particular property of deep neural networks (DNNs) to estimate normalized cross correlation as a ...
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Nov 24, 2020
Volume and ejection fraction (EF) measurements of the left ventricle (LV) in 2-D echocardiography are associated with a high uncertainty not only due to interobserver variability of the manual measurement, but also due to ultrasound acquisition error...
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Nov 24, 2020
Tracking the myotendinous junction (MTJ) in consecutive ultrasound images is crucial for understanding the mechanics and pathological conditions of the muscle-tendon unit. However, the lack of reliable and efficient identification of MTJ due to poor ...
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Nov 24, 2020
In recent years, deep learning (DL) has been successfully applied to the analysis and processing of ultrasound images. To date, most of this research has focused on segmentation and view recognition. This article benchmarks different convolutional ne...