Regional Motion Correction for Photoacoustic Imaging in Humans Using Interleaved Ultrasound Images

Overview

Journal Biomed Opt Express

Specialty Radiology

Date 2021 Jul 5

PMID 34221662

Citations 8

Authors

Tobias Erlov

Rafi Sheikh

Ulf Dahlstrand

John Albinsson

Malin Malmsjo

Magnus Cinthio

Affiliations

Soon will be listed here.

Abstract

In translation from preclinical to clinical studies using photoacoustic imaging, motion artifacts represent a major issue. In this study the feasibility of an in-house algorithm, referred to as intensity phase tracking (IPT), for regional motion correction of human photoacoustic (PA) images was demonstrated. The algorithm converts intensity to phase-information and performs 2D phase-tracking on interleaved ultrasound images. The radial artery in eight healthy volunteers was imaged using an ultra-high frequency photoacoustic system. PA images were motion corrected and evaluated based on PA image similarities. Both controlled measurements using a computerized stepping motor and free-hand measurements were evaluated. The results of the controlled measurements show that the tracking corresponded to 97 ± 6% of the actual movement. Overall, the mean square error between PA images decreased by 52 ± 15% and by 43 ± 19% when correcting for controlled- and free-hand induced motions, respectively. The results show that the proposed algorithm could be used for motion correction in photoacoustic imaging in humans.

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References

Hysi E, Fadhel M, Moore M, Zalev J, Strohm E, Kolios M . Insights into photoacoustic speckle and applications in tumor characterization. Photoacoustics. 2019; 14:37-48. PMC: 6505056. DOI: 10.1016/j.pacs.2019.02.002. View

Mozaffarzadeh M, Moore C, Golmoghani E, Mantri Y, Hariri A, Jorns A . Motion-compensated noninvasive periodontal health monitoring using handheld and motor-based photoacoustic-ultrasound imaging systems. Biomed Opt Express. 2021; 12(3):1543-1558. PMC: 7984772. DOI: 10.1364/BOE.417345. View

Jeng G, Li M, Kim M, Yoon S, Pitre Jr J, Li D . Real-time interleaved spectroscopic photoacoustic and ultrasound (PAUS) scanning with simultaneous fluence compensation and motion correction. Nat Commun. 2021; 12(1):716. PMC: 7846772. DOI: 10.1038/s41467-021-20947-5. View

Hult J, Dahlstrand U, Merdasa A, Wickerstrom K, Chakari R, Persson B . Unique spectral signature of human cutaneous squamous cell carcinoma by photoacoustic imaging. J Biophotonics. 2020; 13(5):e201960212. DOI: 10.1002/jbio.201960212. View

Guo Z, Xu Z, Wang L . Dependence of photoacoustic speckles on boundary roughness. J Biomed Opt. 2012; 17(4):046009. PMC: 3380940. DOI: 10.1117/1.JBO.17.4.046009. View

Dahlstrand U, Sheikh R, Merdasa A, Chakari R, Persson B, Cinthio M . Photoacoustic imaging for three-dimensional visualization and delineation of basal cell carcinoma in patients. Photoacoustics. 2020; 18:100187. PMC: 7243191. DOI: 10.1016/j.pacs.2020.100187. View

Zhao H, Chen N, Li T, Zhang J, Lin R, Gong X . Motion Correction in Optical Resolution Photoacoustic Microscopy. IEEE Trans Med Imaging. 2019; 38(9):2139-2150. DOI: 10.1109/TMI.2019.2893021. View

Eisenbrey J, Stanczak M, Forsberg F, Mendoza-Ballesteros F, Lyshchik A . Photoacoustic Oxygenation Quantification in Patients with Raynaud's: First-in-Human Results. Ultrasound Med Biol. 2018; 44(10):2081-2088. PMC: 8994565. DOI: 10.1016/j.ultrasmedbio.2018.04.017. View

Helfen A, Masthoff M, Claussen J, Gerwing M, Heindel W, Ntziachristos V . Multispectral Optoacoustic Tomography: Intra- and Interobserver Variability Using a Clinical Hybrid Approach. J Clin Med. 2019; 8(1). PMC: 6352009. DOI: 10.3390/jcm8010063. View

10.

Schwarz M, Garzorz-Stark N, Eyerich K, Aguirre J, Ntziachristos V . Motion correction in optoacoustic mesoscopy. Sci Rep. 2017; 7(1):10386. PMC: 5583247. DOI: 10.1038/s41598-017-11277-y. View

11.

Xia J, Chen W, Maslov K, Anastasio M, Wang L . Retrospective respiration-gated whole-body photoacoustic computed tomography of mice. J Biomed Opt. 2014; 19(1):16003. PMC: 3881607. DOI: 10.1117/1.JBO.19.1.016003. View

12.

Jeon S, Song H, Kim J, Lee B, Managuli R, Kim J . In Vivo Photoacoustic Imaging of Anterior Ocular Vasculature: A Random Sample Consensus Approach. Sci Rep. 2017; 7(1):4318. PMC: 5489523. DOI: 10.1038/s41598-017-04334-z. View

13.

Taruttis A, Timmermans A, Wouters P, Kacprowicz M, van Dam G, Ntziachristos V . Optoacoustic Imaging of Human Vasculature: Feasibility by Using a Handheld Probe. Radiology. 2016; 281(1):256-63. DOI: 10.1148/radiol.2016152160. View

14.

Sheikh R, Cinthio M, Dahlstrand U, Erlov T, Naumovska M, Hammar B . Clinical Translation of a Novel Photoacoustic Imaging System for Examining the Temporal Artery. IEEE Trans Ultrason Ferroelectr Freq Control. 2019; 66(3):472-480. DOI: 10.1109/TUFFC.2018.2868674. View

15.

Masthoff M, Helfen A, Claussen J, Roll W, Karlas A, Becker H . Multispectral optoacoustic tomography of systemic sclerosis. J Biophotonics. 2018; 11(11):e201800155. DOI: 10.1002/jbio.201800155. View

16.

Breathnach A, Concannon E, Dorairaj J, Shaharan S, McGrath J, Jose J . Preoperative measurement of cutaneous melanoma and nevi thickness with photoacoustic imaging. J Med Imaging (Bellingham). 2018; 5(1):015004. PMC: 5809700. DOI: 10.1117/1.JMI.5.1.015004. View