Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1071102 | PMC |
| http://dx.doi.org/10.1136/ewjm.173.4.243 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Facemap: a framework for modeling neural activity based on orofacial tracking.
Nat Neurosci
January 2024
HHMI Janelia Research Campus, Ashburn, VA, USA.
Article Synopsis
- Recent studies reveal that orofacial behaviors in mice significantly influence neural activity throughout the brain, necessitating better computational models for understanding these connections.
- Facemap is a new framework that uses a keypoint tracker and a deep neural network to accurately predict mouse neural activity linked to these behaviors, outperforming existing tools in speed and precision.
- The model enhances our understanding of brain function by demonstrating that certain neuronal activity patterns are spatially distributed and exhibit unique, sequential dynamics, paving the way for further insights into behavior and brain signals.
Spatial Coherence Adaptive Clutter Filtering in Color Flow Imaging-Part I: Simulation Studies.
IEEE Open J Ultrason Ferroelectr Freq Control
June 2022
Department of Biomedical Engineering, Duke University, Durham, NC 27708 USA.
The appropriate selection of a clutter filter is critical for ensuring the accuracy of velocity estimates in ultrasound color flow imaging. Given the complex spatio-temporal dynamics of flow signal and clutter, however, the manual selection of filters can be a significant challenge, increasing the risk for bias and variance introduced by the removal of flow signal and/or poor clutter suppression. We propose a novel framework to adaptively select clutter filter settings based on color flow image quality feedback derived from the spatial coherence of ultrasonic backscatter.
View Article and Find Full Text PDFSpatial Coherence Adaptive Clutter Filtering in Color Flow Imaging-Part II: Phantom and Experiments.
IEEE Open J Ultrason Ferroelectr Freq Control
June 2022
Department of Biomedical Engineering, Duke University, Durham, NC 27708 USA.
Conventional color flow processing is associated with a high degree of operator dependence, often requiring the careful tuning of clutter filters and priority encoding to optimize the display and accuracy of color flow images. In a companion paper, we introduced a novel framework to adapt color flow processing based on local measurements of backscatter spatial coherence. Through simulation studies, the adaptive selection of clutter filters using coherence image quality characterization was demonstrated as a means to dynamically suppress weakly-coherent clutter while preserving coherent flow signal in order to reduce velocity estimation bias.
View Article and Find Full Text PDFOccult Regions of Suppressed Coherence in Liver B-Mode Images.
Ultrasound Med Biol
January 2022
Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA; Department of Radiology, Duke University Medical Center, Durham, North Carolina, USA.
Ultrasound is an essential tool for diagnosing and monitoring diseases, but it can be limited by poor image quality. Lag-one coherence (LOC) is an image quality metric that can be related to signal-to-noise ratio and contrast-to-noise ratio. In this study, we examine matched LOC and B-mode images of the liver to discern patterns of low image quality, as indicated by lower LOC values, occurring beneath the abdominal wall, near out-of-plane vessels and adjacent to hyperechoic targets such the liver capsule.
View Article and Find Full Text PDFStructure-based charge calculations for predicting isoelectric point, viscosity, clearance, and profiling antibody therapeutics.
MAbs
April 2022
Research and Development, Chemical Computing Group ULC, Montreal, Quebec, Canada.
The effect of hydrophobicity on antibody aggregation is well understood, and it has been shown that charge calculations can be useful for high-concentration viscosity and pharmacokinetic (PK) clearance predictions. In this work, structure-based charge descriptors are evaluated for their predictive performance on recently published antibody pI, viscosity, and clearance data. From this, we devised four rules for therapeutic antibody profiling which address developability issues arising from hydrophobicity and charged-based solution behavior, PK, and the ability to enrich for those that are approved by the U.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!