Definition of time-lapse optical coherence tomography

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Photonics Dictionary

time-lapse optical coherence tomography: Time-lapse optical coherence tomography (OCT) refers to a medical imaging technique that captures a series of sequential OCT scans over time, allowing for the dynamic observation and monitoring of biological tissues or structures. Optical coherence tomography itself is a non-invasive imaging technology that uses light waves to create detailed, cross-sectional images of tissues with micrometer-level resolution.

In time-lapse OCT, multiple OCT scans are acquired at regular intervals, and these scans are then compiled to create a temporal sequence of images. This approach enables healthcare professionals and researchers to observe changes or developments within biological tissues over a specified time period. The ability to capture these changes in real-time provides valuable insights into dynamic biological processes, making time-lapse OCT a powerful tool in various medical and research applications.

Key features and applications of time-lapse OCT include:

High-resolution imaging: Time-lapse OCT produces high-resolution, cross-sectional images of tissues, allowing for detailed visualization of structural changes over time.

Dynamic monitoring: It enables the continuous monitoring of biological processes, such as the progression of diseases, response to treatments, or the healing of tissues following surgery.

Ophthalmology: Time-lapse OCT is commonly used in ophthalmology to monitor changes in the retina and other structures in the eye. It is valuable for tracking the progression of retinal diseases, such as macular degeneration and diabetic retinopathy.

Dermatology: In dermatology, time-lapse OCT can be employed to observe skin conditions, wound healing, and the effects of cosmetic procedures.

Cardiology: Time-lapse OCT has applications in cardiology, allowing for the assessment of vascular dynamics, monitoring of blood flow, and observation of structural changes in blood vessels.

Neurology: It can be used to study dynamic processes in the central nervous system, including changes in brain tissues and blood flow.

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