Cargando…
Real-time 3D and 4D Fourier domain Doppler optical coherence tomography based on dual graphics processing units
We present real-time 3D (2D cross-sectional image plus time) and 4D (3D volume plus time) phase-resolved Doppler OCT (PRDOCT) imaging based on configuration of dual graphics processing units (GPU). A GPU-accelerated phase-resolving processing algorithm was developed and implemented. We combined a st...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Optical Society of America
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3447558/ https://www.ncbi.nlm.nih.gov/pubmed/23024910 http://dx.doi.org/10.1364/BOE.3.002162 |
_version_ | 1782244112007692288 |
---|---|
author | Huang, Yong Liu, Xuan Kang, Jin U. |
author_facet | Huang, Yong Liu, Xuan Kang, Jin U. |
author_sort | Huang, Yong |
collection | PubMed |
description | We present real-time 3D (2D cross-sectional image plus time) and 4D (3D volume plus time) phase-resolved Doppler OCT (PRDOCT) imaging based on configuration of dual graphics processing units (GPU). A GPU-accelerated phase-resolving processing algorithm was developed and implemented. We combined a structural image intensity-based thresholding mask and average window method to improve the signal-to-noise ratio of the Doppler phase image. A 2D simultaneous display of the structure and Doppler flow images was presented at a frame rate of 70 fps with an image size of 1000 × 1024 (X × Z) pixels. A 3D volume rendering of tissue structure and flow images—each with a size of 512 × 512 pixels—was presented 64.9 milliseconds after every volume scanning cycle with a volume size of 500 × 256 × 512 (X × Y × Z) voxels, with an acquisition time window of only 3.7 seconds. To the best of our knowledge, this is the first time that an online, simultaneous structure and Doppler flow volume visualization has been achieved. Maximum system processing speed was measured to be 249,000 A-scans per second with each A-scan size of 2048 pixels. |
format | Online Article Text |
id | pubmed-3447558 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Optical Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-34475582012-09-28 Real-time 3D and 4D Fourier domain Doppler optical coherence tomography based on dual graphics processing units Huang, Yong Liu, Xuan Kang, Jin U. Biomed Opt Express Image Processing We present real-time 3D (2D cross-sectional image plus time) and 4D (3D volume plus time) phase-resolved Doppler OCT (PRDOCT) imaging based on configuration of dual graphics processing units (GPU). A GPU-accelerated phase-resolving processing algorithm was developed and implemented. We combined a structural image intensity-based thresholding mask and average window method to improve the signal-to-noise ratio of the Doppler phase image. A 2D simultaneous display of the structure and Doppler flow images was presented at a frame rate of 70 fps with an image size of 1000 × 1024 (X × Z) pixels. A 3D volume rendering of tissue structure and flow images—each with a size of 512 × 512 pixels—was presented 64.9 milliseconds after every volume scanning cycle with a volume size of 500 × 256 × 512 (X × Y × Z) voxels, with an acquisition time window of only 3.7 seconds. To the best of our knowledge, this is the first time that an online, simultaneous structure and Doppler flow volume visualization has been achieved. Maximum system processing speed was measured to be 249,000 A-scans per second with each A-scan size of 2048 pixels. Optical Society of America 2012-08-20 /pmc/articles/PMC3447558/ /pubmed/23024910 http://dx.doi.org/10.1364/BOE.3.002162 Text en ©2012 Optical Society of America http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported License, which permits download and redistribution, provided that the original work is properly cited. This license restricts the article from being modified or used commercially. |
spellingShingle | Image Processing Huang, Yong Liu, Xuan Kang, Jin U. Real-time 3D and 4D Fourier domain Doppler optical coherence tomography based on dual graphics processing units |
title | Real-time 3D and 4D Fourier domain Doppler optical coherence tomography based on
dual graphics processing units |
title_full | Real-time 3D and 4D Fourier domain Doppler optical coherence tomography based on
dual graphics processing units |
title_fullStr | Real-time 3D and 4D Fourier domain Doppler optical coherence tomography based on
dual graphics processing units |
title_full_unstemmed | Real-time 3D and 4D Fourier domain Doppler optical coherence tomography based on
dual graphics processing units |
title_short | Real-time 3D and 4D Fourier domain Doppler optical coherence tomography based on
dual graphics processing units |
title_sort | real-time 3d and 4d fourier domain doppler optical coherence tomography based on
dual graphics processing units |
topic | Image Processing |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3447558/ https://www.ncbi.nlm.nih.gov/pubmed/23024910 http://dx.doi.org/10.1364/BOE.3.002162 |
work_keys_str_mv | AT huangyong realtime3dand4dfourierdomaindoppleropticalcoherencetomographybasedondualgraphicsprocessingunits AT liuxuan realtime3dand4dfourierdomaindoppleropticalcoherencetomographybasedondualgraphicsprocessingunits AT kangjinu realtime3dand4dfourierdomaindoppleropticalcoherencetomographybasedondualgraphicsprocessingunits |