Correction of circumferential and longitudinal motion distortion in high-speed catheter/endoscope-based optical coherence tomography.

Autor:	Nguyen TH; Department of Electrical Engineering and Computer Science and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.; PathAI Inc., 120 Brookline Ave, Boston, MA 02215, USA., Ahsen OO; Department of Electrical Engineering and Computer Science and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA., Liang K; Department of Electrical Engineering and Computer Science and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA., Zhang J; Department of Electrical Engineering and Computer Science and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA., Mashimo H; Veterans Affairs Boston Healthcare System, MA 02130, USA.; Havard Medical School, MA 02130, USA., Fujimoto JG; Department of Electrical Engineering and Computer Science and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Jazyk:	angličtina
Zdroj:	Biomedical optics express [Biomed Opt Express] 2020 Dec 09; Vol. 12 (1), pp. 226-246. Date of Electronic Publication: 2020 Dec 09 (Print Publication: 2021).
DOI:	10.1364/BOE.409074
Abstrakt:	Catheter/endoscope-based optical coherence tomography (OCT) is a powerful modality that visualizes structural information in luminal organs. Increases in OCT speed have reduced motion artifacts by enabling acquisition faster than or comparable to the time scales of physiological motion. However motion distortion remains a challenge because catheter/endoscope OCT imaging involves both circumferential and longitudinal scanning of tissue. This paper presents a novel image processing method to estimate and correct motion distortion in both the circumferential and longitudinal directions using a single en face image from a volumetric data set. The circumferential motion distortion is estimated and corrected using the en face image. Then longitudinal motion distortion is estimated and corrected using diversity of image features along the catheter pullback direction. Finally, the OCT volume is resampled and motion corrected. Results are presented on synthetic images and clinical OCT images of the human esophagus. Competing Interests: The authors declare no conflicts of interest. (© 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.)
Databáze:	MEDLINE
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