Optical coherence tomography with online visualization of more than seven rendered volumes per second

Joachim Probst; Dierck Hillmann; Eva Lankenau; Christan Winter; Stefan Oelckers; Peter Koch; Gereon Hüttmann

doi:10.1117/1.3314898

Optical coherence tomography with online visualization of more than seven rendered volumes per second

Joachim Probst, Dierck Hillmann, Eva Lankenau, Christan Winter, Stefan Oelckers, Peter Koch, Gereon Hüttmann^*

^*Corresponding author for this work

39 Citations (Scopus)

Abstract

Nearly real-time visualization of 3-D volumes is crucial for the use of optical coherence tomography (OCT) during microsurgery. With an ultrahigh speed spectral domain OCT coupled to a surgical microscope, on-line display of 7.2 rendered volumes at 87 megapixels per second is demonstrated. Calculating the A-scans from the spectra is done on a quad-core personal computer (PC), while dedicated software for the 3-D rendering is executed on a high performance video card. Imaging speed is practically only limited by the readout of the camera. First experiments show the feasibility of real-time 3-D OCT for guided interventions.

Original language	English
Article number	026014
Journal	Journal of Biomedical Optics
Volume	15
Issue number	2
ISSN	1083-3668
DOIs	https://doi.org/10.1117/1.3314898
Publication status	Published - 01.12.2010

Funding

This work was supported by the local government of Schleswig-Holstein, Germany (HWT 2007-14 H) and the European Union research program FP7-HEALTH-2007-A (201880 FUN OCT).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

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10.1117/1.3314898

Cite this

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abstract = "Nearly real-time visualization of 3-D volumes is crucial for the use of optical coherence tomography (OCT) during microsurgery. With an ultrahigh speed spectral domain OCT coupled to a surgical microscope, on-line display of 7.2 rendered volumes at 87 megapixels per second is demonstrated. Calculating the A-scans from the spectra is done on a quad-core personal computer (PC), while dedicated software for the 3-D rendering is executed on a high performance video card. Imaging speed is practically only limited by the readout of the camera. First experiments show the feasibility of real-time 3-D OCT for guided interventions.",

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AU - Probst, Joachim

AU - Hillmann, Dierck

AU - Lankenau, Eva

AU - Winter, Christan

AU - Oelckers, Stefan

AU - Koch, Peter

AU - Hüttmann, Gereon

PY - 2010/12/1

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N2 - Nearly real-time visualization of 3-D volumes is crucial for the use of optical coherence tomography (OCT) during microsurgery. With an ultrahigh speed spectral domain OCT coupled to a surgical microscope, on-line display of 7.2 rendered volumes at 87 megapixels per second is demonstrated. Calculating the A-scans from the spectra is done on a quad-core personal computer (PC), while dedicated software for the 3-D rendering is executed on a high performance video card. Imaging speed is practically only limited by the readout of the camera. First experiments show the feasibility of real-time 3-D OCT for guided interventions.

AB - Nearly real-time visualization of 3-D volumes is crucial for the use of optical coherence tomography (OCT) during microsurgery. With an ultrahigh speed spectral domain OCT coupled to a surgical microscope, on-line display of 7.2 rendered volumes at 87 megapixels per second is demonstrated. Calculating the A-scans from the spectra is done on a quad-core personal computer (PC), while dedicated software for the 3-D rendering is executed on a high performance video card. Imaging speed is practically only limited by the readout of the camera. First experiments show the feasibility of real-time 3-D OCT for guided interventions.

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Optical coherence tomography with online visualization of more than seven rendered volumes per second

Abstract

Funding

UN SDGs

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Graduate School GSC 235: Graduate School for Computing in Medicine and Life Sciences

Cite this

Optical coherence tomography with online visualization of more than seven rendered volumes per second

Abstract

Funding

UN SDGs

Access to Document

Other files and links

Fingerprint

Projects

Graduate School GSC 235: Graduate School for Computing in Medicine and Life Sciences

Cite this