Qualitative and quantitative evaluation of in vivo SD-OCT measurement of rat brain

Abstract

OCT has been demonstrated as an efficient imaging modality in various biomedical and clinical applications. However, there is a missing link with respect to the source of contrast between OCT and other modern imaging modalities, no quantitative comparison has been demonstrated between them, yet. We evaluated, to our knowledge, for the first time OCT measurement of rat brain with our previously proposed forward imaging method by both qualitatively and quantitatively correlating OCT with the corresponding T1-weighted and T2-weighted magnetic resonance images, fiber density map (FDM), and two types of histology staining (cresyl violet and acetylcholinesterase AchE), respectively. Brain anatomical structures were identified and compared across OCT, MRI and histology imaging modalities. Noticeable resemblances corresponding to certain anatomical structures were found between OCT and other image profiles. Correlation was quantitatively assessed by estimating correlation coefficient (R) and mutual information (MI). Results show that the 1-D OCT measurements in regards to the intensity profile and estimated attenuation factor, do not have profound linear correlation with the other image modalities suggested from correlation coefficient estimation. However, findings in mutual information analysis demonstrate that there are markedly high MI values in OCT-MRI signals.

Three-Dimensional Ultrasonic Needle Tip Tracking with a Fiber-Optic Ultrasound Receiver

“…To achieve greater ultrasound detection sensitivity, a plano-concave Fabry-Pérot cavity could be used in the future 17 . Ultimately, ultrasonic tracking could be combined with other modalities in a single optical fiber, such as reflectance spectroscopy 18 19 20 21 22 23 , Raman spectroscopy 24 , optical coherence tomography 25 26 , and photoacoustic imaging 27 28 29 30 31 32 33 .…”

Full‐field swept‐source optical coherence tomography and neural tissue classification for deep brain imaging

“…Previous works [29,52,53] have shown that the attenuation coefficient of tissue calculated from the intensity decay along the imaging depth can differentiate between white and gray matters, because white matter, consisting of myelinated neural fibers, scatters light more strongly. Figure 6A shows a similar results in our data, as the attenuation from the corpus callosum (Group 2) is clustered on the higher side of the attenuation axis.…”

Optical coherence tomography for precision brain imaging, neurosurgical guidance and minimally invasive theranostics

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