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Related Concept Videos

Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...

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Related Experiment Video

Updated: May 18, 2026

Blood Flow Imaging with Ultrafast Doppler
05:57

Blood Flow Imaging with Ultrafast Doppler

Published on: October 14, 2020

Ultra-fast displaying Spectral Domain Optical Doppler Tomography system using a Graphics Processing Unit.

Hyosang Jeong1, Nam Hyun Cho, Unsang Jung

  • 1School of Electrical Engineering and Computer Science, Kyungpook National University, Buk-gu, Daegu, Korea. hyosangj@gmail.com

Sensors (Basel, Switzerland)
|September 13, 2012
PubMed
Summary

This study presents an ultrafast Spectral Domain Optical Doppler Tomography system accelerated by Graphics Processing Unit (GPU) computing. The GPU enables real-time display of Optical Coherence Tomography (OCT) and Optical Doppler Tomography (ODT) images at 120 fps, crucial for immediate clinical diagnosis.

Keywords:
CUDAGPUOCTODTreal-time

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Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography
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Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Published on: January 15, 2013

Area of Science:

  • Biomedical Imaging
  • Medical Technology
  • Computational Imaging

Background:

  • Real-time display of Optical Doppler Tomography (ODT) and Optical Coherence Tomography (OCT) is critical for clinical applications.
  • Existing systems often face limitations in processing speed, hindering immediate diagnostic capabilities.

Purpose of the Study:

  • To develop and demonstrate an ultrafast Spectral Domain Optical Doppler Tomography (SD-ODT) system.
  • To leverage Graphics Processing Unit (GPU) computing for accelerating ODT image processing and real-time display.

Main Methods:

  • Implemented a Spectral Domain Optical Doppler Tomography system utilizing GPU acceleration.
  • Optimized Fast Fourier Transform (FFT) and Doppler frequency shift calculations on the GPU.
  • Achieved simultaneous real-time display of OCT and ODT images at 120 frames per second (fps) for 1,024 pixels × 512 lateral A-scans.

Main Results:

  • GPU acceleration significantly reduced computation time for Doppler information.
  • With a moving average window size of 32 pixels, ODT computation time was 8.3 ms, comparable to data acquisition time.
  • Phase noise decreased significantly with increasing window size, enhancing image quality.

Conclusions:

  • The developed GPU-accelerated SD-ODT system provides ultrafast, real-time display capabilities essential for clinical diagnosis and intraoperative guidance.
  • GPU computing offers a powerful and attractive solution for enhancing functional OCT features in clinical and commercial systems.