Real-time processing for full-range Fourier-domain optical-coherence tomography with zero-filling interpolation using multiple graphic processing units

Watanabe, Yuuki; Maeno, Seiya; Aoshima, Kenji; Hasegawa, Haruyuki; Koseki, Hitoshi

doi:10.1364/ao.49.004756

Cited by 39 publications

(25 citation statements)

References 34 publications

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“…Spectral data are nonlinear in k-space and therefore must be resampled 25 . This produces a spectrum linear in k prior to taking the Fourier transform.…”

Section: Resultsmentioning

confidence: 99%

Design & Development of a Galvanometer Inspired Dual Beam Optical Coherence Tomography System for Flow Velocity Quantification of the Microvasculature

Daly¹,

Jonathan²,

Leahy³

2011

Optical Coherence Tomography and Coherence Techniques V

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This paper reports initial experimentation of a dual beam flow velocity estimation setup based on optical coherence tomography (OCT) for biomedical applications. The proposed work incorporates a low cost switching mechanism (rotating galvanometer mirror) for optical signal discrimination between adjacent fiber channels enabling quasisimultaneous multiple specimen scanning. A cascaded interferometric design is used with two sample output arms orientated in parallel to eachother. A cross-correlation computation between these two parallel sample beams yields a relative time delay, enabling assessment and quantification of flow velocities.

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“…Spectral data are nonlinear in k-space and therefore must be resampled 25 . This produces a spectrum linear in k prior to taking the Fourier transform.…”

Section: Resultsmentioning

confidence: 99%

Design & Development of a Galvanometer Inspired Dual Beam Optical Coherence Tomography System for Flow Velocity Quantification of the Microvasculature

Daly¹,

Jonathan²,

Leahy³

2011

Optical Coherence Tomography and Coherence Techniques V

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“…Work reported by van der Jeught et al (2010) and Rasakanthan et al (2011) also include a GPU for resampling and inverse FFTs of OCT data in real-time. The resampling was eventually improved by using zero-padding and FFTs (Watanabe et al, 2010), instead of simple linear interpolation. The work by Zhang and Kang (2010b) was extended from uniform to non-uniform FFTs (Zhang and Kang, 2010a) and finally to full range FDOCT (Zhang and Kang, 2011), to reduce ghosting from long surgical instruments.…”

Section: Optical Imagingmentioning

confidence: 99%

Medical image processing on the GPU – Past, present and future

Eklund

Dufort

Forsberg

et al. 2013

Medical Image Analysis

351

198

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Graphics processing units (GPUs) are used today in a wide range of applications, mainly because they can dramatically accelerate parallel computing, are affordable and energy efficient. In the field of medical imaging, GPUs are in some cases crucial for enabling practical use of computationally demanding algorithms. This review presents the past and present work on GPU accelerated medical image processing, and is meant to serve as an overview and introduction to existing GPU implementations. The review covers GPU acceleration of basic image processing operations (filtering, interpolation, histogram estimation and distance transforms), the most commonly used algorithms in medical imaging (image registration, image segmentation and image denoising) and algorithms that are specific to individual modalities (CT, PET, SPECT, MRI, fMRI, DTI, ultrasound, optical imaging and microscopy). The review ends by highlighting some future possibilities and challenges.

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“…9 A real-time processing system with zeropadding interpolation using multiple GPU has been proposed. 10 The computing speeds of 2048-OCT were found to be 38 and 69 kHz for single and dual GPUs, respectively. A real-time processing system with two GPUs has been reported.…”

Section: Introductionmentioning

confidence: 98%

Acceleration of optical coherence tomography signal processing by multi-graphics processing units

Shi

Huang

et al. 2014

J. Innov. Opt. Health Sci.

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A multi-GPU system designed for high-speed, real-time signal processing of optical coherence tomography (OCT) is described herein. For the OCT data sampled in linear wave numbers, the maximum processing rates reached 2.95 MHz for 1024-OCT and 1.96 MHz for 2048-OCT. Data sampled using linear wavelengths were re-sampled using a time-domain interpolation method and zero-padding interpolation method to improve image quality. The maximum processing rates for 1024-OCT reached 2.16 MHz for the time-domain method and 1.26 MHz for the zero-padding method. The maximum processing rates for 2048-OCT reached 1.58 MHz, and 0.68 MHz, respectively. This method is capable of high-speed, real-time processing for OCT systems.

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Real-time processing for full-range Fourier-domain optical-coherence tomography with zero-filling interpolation using multiple graphic processing units

Cited by 39 publications

References 34 publications

Design & Development of a Galvanometer Inspired Dual Beam Optical Coherence Tomography System for Flow Velocity Quantification of the Microvasculature

Design & Development of a Galvanometer Inspired Dual Beam Optical Coherence Tomography System for Flow Velocity Quantification of the Microvasculature

Medical image processing on the GPU – Past, present and future

Acceleration of optical coherence tomography signal processing by multi-graphics processing units

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