Generating retinal flow maps from structural optical coherence tomography with artificial intelligence

02/24/2018
by   Cecilia S. Lee, et al.
0

Despite significant advances in artificial intelligence (AI) for computer vision, its application in medical imaging has been limited by the burden and limits of expert-generated labels. We used images from optical coherence tomography angiography (OCTA), a relatively new imaging modality that measures perfusion of the retinal vasculature, to train an AI algorithm to generate vasculature maps from standard structural optical coherence tomography (OCT) images of the same retinae, both exceeding the ability and bypassing the need for expert labeling. Deep learning was able to infer perfusion of microvasculature from structural OCT images with similar fidelity to OCTA and significantly better than expert clinicians (P < 0.00001). OCTA suffers from need of specialized hardware, laborious acquisition protocols, and motion artifacts; whereas our model works directly from standard OCT which are ubiquitous and quick to obtain, and allows unlocking of large volumes of previously collected standard OCT data both in existing clinical trials and clinical practice. This finding demonstrates a novel application of AI to medical imaging, whereby subtle regularities between different modalities are used to image the same body part and AI is used to generate detailed and accurate inferences of tissue function from structure imaging.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 16

page 17

page 19

page 20

page 21

11/04/2014

State-of-the-Art in Retinal Optical Coherence Tomography Image Analysis

Optical Coherence Tomography (OCT) is one of the most emerging imaging m...
07/06/2021

Domain Adaptation via CycleGAN for Retina Segmentation in Optical Coherence Tomography

With the FDA approval of Artificial Intelligence (AI) for point-of-care ...
03/02/2021

Medical Imaging and Machine Learning

Advances in computing power, deep learning architectures, and expert lab...
10/18/2018

Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning

Diabetic eye disease is one of the fastest growing causes of preventable...
07/14/2021

Artificial Intelligence in PET: an Industry Perspective

Artificial intelligence (AI) has significant potential to positively imp...
12/17/2020

Describing the Structural Phenotype of the Glaucomatous Optic Nerve Head Using Artificial Intelligence

The optic nerve head (ONH) typically experiences complex neural- and con...
12/18/2020

Computer Vision based Tomography of Structures Using 3D Digital Image Correlation

Internal properties of a sample can be observed by medical imaging tools...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.