Retina phantom for the evaluation of optical coherence tomography angiography based on microfluidic channels.
Hyun-Ji LeeNafra M SamiudinTae Geol LeeIl DohJung-Sub WiPublished in: Biomedical optics express (2019)
Optical coherence tomography (OCT) angiography (OCTA) has been actively studied as a noninvasive imaging technology to generate retinal blood vessel network maps for the diagnoses of retinal diseases. Given that the uses of OCT and OCTA have increased in the field of ophthalmology, it is necessary to develop retinal phantoms for clinical OCT for product development, performance evaluation, calibration, certification, medical device licensing, and production processes. We developed a retinal layer-mimicking phantom with microfluidic channels based on microfluidic fabrication technology using polydimethylsiloxane (PDMS) and titanium dioxide (TiO2) powder. We implemented superficial and deep retinal vessels using microfluidic channels. In addition, multilayered thin films were synthesized with multiple spin-coating processes that comprised layers that corresponded to the retinal layers, including the ganglion cell layer (GCL), inner plexiform layer (IPL), and inner nuclear layer (INL). The phantom was formed by merging the multilayered thin film, and microfluidic channels were assembled with an optical lens, water chamber, and an aluminum tube case. Finally, we obtained cross-sectional OCT images and en-face OCTA images of the retinal phantom using lab-made ophthalmic OCT. From the cross-sectional OCT image, we could compare each of the layer thicknesses of the phantom with the corresponding layer thicknesses of the human retina. In addition, we obtained en-face OCTA images with injections of intralipid solutions. It is shown that this phantom will be able to be potentially used as a convenient tool to evaluate and standardize the quality and accuracy of OCT and OCTA images.
Keyphrases
- optical coherence tomography
- diabetic retinopathy
- optic nerve
- single cell
- high throughput
- cross sectional
- circulating tumor cells
- image quality
- high resolution
- deep learning
- healthcare
- monte carlo
- endothelial cells
- label free
- bone marrow
- mass spectrometry
- cell therapy
- magnetic resonance imaging
- spinal cord
- convolutional neural network
- cataract surgery
- pluripotent stem cells