Conference proceeding
Image processing to extend effective OCT penetration depth in tissue
MEDICAL IMAGING 2018: DIGITAL PATHOLOGY, v 10581, pp 1058117-1058117-7
01 Jan 2018
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
Metrics
18 Record Views
Details
- Title
- Image processing to extend effective OCT penetration depth in tissue
- Creators
- Gautham Nandakumar - Drexel UniversityShantel Maharaj - Drexel UniversityDavid E. Breen - Drexel UniversityFernando U. Garcia - Cancer Treatment Centers of AmericaMark D. Zarella - Drexel University
- Contributors
- J E Tomaszewski (Editor)M N Gurcan (Editor)
- Publication Details
- MEDICAL IMAGING 2018: DIGITAL PATHOLOGY, v 10581, pp 1058117-1058117-7
- Series
- Proceedings of SPIE
- Publisher
- Spie-Int Soc Optical Engineering
- Number of pages
- 7
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science; Pathology (and Laboratory Medicine)
- Web of Science ID
- WOS:000435479200039
- Scopus ID
- 2-s2.0-85049177580
- Other Identifier
- 991019169540704721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Optics
- Radiology, Nuclear Medicine & Medical Imaging