Semi-automated shear stress measurements in developing embryonic hearts.
Sahar ElahiBrecken J BlackburnMaryse Lapierre-LandryShi GuAndrew M RollinsMichael W JenkinsPublished in: Biomedical optics express (2020)
Blood-induced shear stress influences gene expression. Abnormal shear stress patterns on the endocardium of the early-stage heart tube can lead to congenital heart defects. To have a better understanding of these mechanisms, it is essential to include shear stress measurements in longitudinal cohort studies of cardiac development. Previously reported approaches are computationally expensive and nonpractical when assessing many animals. Here, we introduce a new approach to estimate shear stress that does not rely on recording 4D image sets and extensive post processing. Our method uses two adjacent optical coherence tomography frames (B-scans) where lumen geometry and flow direction are determined from the structural data and the velocity is measured from the Doppler OCT signal. We validated our shear stress estimate by flow phantom experiments and applied it to live quail embryo hearts where observed shear stress patterns were similar to previous studies.
Keyphrases
- optical coherence tomography
- gene expression
- early stage
- deep learning
- blood flow
- diabetic retinopathy
- high glucose
- machine learning
- dna methylation
- computed tomography
- heart failure
- left ventricular
- diabetic rats
- big data
- electronic health record
- optic nerve
- atrial fibrillation
- squamous cell carcinoma
- radiation therapy
- ultrasound guided
- pregnant women
- magnetic resonance imaging
- dual energy
- image quality
- artificial intelligence
- magnetic resonance
- contrast enhanced
- sentinel lymph node
- pregnancy outcomes