Image processing to extend effective OCT penetration depth in tissue

Gautham Nandakumar; Shantel Maharaj; David E. Breen; Fernando U. Garcia; Mark D. Zarella

doi:10.1117/12.2293650

6 March 2018 Image processing to extend effective OCT penetration depth in tissue

Gautham Nandakumar, Shantel Maharaj, David E. Breen, Fernando U. Garcia, Mark D. Zarella

Proceedings Volume 10581, Medical Imaging 2018: Digital Pathology; 1058117 (2018) https://doi.org/10.1117/12.2293650
Event: SPIE Medical Imaging, 2018, Houston, Texas, United States

Abstract

Innovative approaches in tissue imaging in an in vivo setting have included the use of optical coherence tomography (OCT) as a substrate for providing high resolution images at depths approaching 1.5 mm. This technology has offered the possibility of analyzing many tissues that are presently only evaluated using histologic methods after excision or biopsy. Despite the relatively high penetration depths of OCT, it is unclear whether the images acquired approximately 0.5 mm beyond the tissue surface maintain sufficient resolution and signal-to-noise ratio to provide useful information. Furthermore, there are relatively few studies that evaluate whether advanced image processing can be harnessed to improve the effective depth capabilities of OCT in tissue. We tested a tissue phantom designed to mimic the prostate as a model system, and independently modulated its refractive index and transmittance. Using dynamic focusing, and with the aid of an image analysis paradigm designed to improve signal detection in a model of tissue, we tested potential improvements in the ability to resolve structures at increasing penetration depths. We found that co-registered signal averaging and wavelet denoising improved overall image quality. B-spline interpolation made it possible to integrate dynamic focus images in a way that improved the effective penetration depth without significant loss in overall image quality. These results support the notion that image processing can refine OCT images for improved diagnostic capabilities to support in vivo microscopy.

Citation Download Citation

Gautham Nandakumar, Shantel Maharaj, David E. Breen, Fernando U. Garcia, and Mark D. Zarella "Image processing to extend effective OCT penetration depth in tissue", Proc. SPIE 10581, Medical Imaging 2018: Digital Pathology, 1058117 (6 March 2018); https://doi.org/10.1117/12.2293650

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Tissues

Prostate

Optical coherence tomography

Image processing

Tissue optics

Image quality

Talc

Show All Keywords

Keywords/Phrases

Search In:

Publication Years