Full-field swept-source optical coherence tomography and neural tissue classification for deep brain imaging.
Ilan Felts AlmogFu-Der ChenSuhan SenovaAnton FomenkoElise GondardWesley D SacherAndres M LozanoJoyce K S PoonPublished in: Journal of biophotonics (2019)
Optical coherence tomography can differentiate brain regions with intrinsic contrast and at a micron scale resolution. Such a device can be particularly useful as a real-time neurosurgical guidance tool. We present, to our knowledge, the first full-field swept-source optical coherence tomography system operating near a wavelength of 1310 nm. The proof-of-concept system was integrated with an endoscopic probe tip, which is compatible with deep brain stimulation keyhole neurosurgery. Neuroimaging experiments were performed on ex vivo brain tissues and in vivo in rat brains. Using classification algorithms involving texture features and optical attenuation, images were successfully classified into three brain tissue types.
Keyphrases
- optical coherence tomography
- resting state
- deep brain stimulation
- deep learning
- white matter
- machine learning
- diabetic retinopathy
- functional connectivity
- parkinson disease
- cerebral ischemia
- obsessive compulsive disorder
- oxidative stress
- optic nerve
- gene expression
- magnetic resonance
- healthcare
- magnetic resonance imaging
- photodynamic therapy
- convolutional neural network
- quantum dots
- blood brain barrier
- subarachnoid hemorrhage
- mass spectrometry