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Monte Carlo-Based Optimization of Multi-Source Illumination for Photoacoustic Signal Generation in Human Gray-Matter Vessels.

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Τίτλος: Monte Carlo-Based Optimization of Multi-Source Illumination for Photoacoustic Signal Generation in Human Gray-Matter Vessels.
Συγγραφείς: Tong J; School of Mathematics and Physics, Hebei University of Engineering, Handan, China., Han H; School of Mathematics and Physics, Hebei University of Engineering, Handan, China., Zhang Y; School of Mathematics and Physics, Hebei University of Engineering, Handan, China., Shen Y; School of Mathematics and Physics, Hebei University of Engineering, Handan, China., Wang Z; School of Mathematics and Physics, Hebei University of Engineering, Handan, China., Yang X; Institute of Acoustics, Chinese Academy of Sciences, Beijing, China.
Πηγή: Journal of biophotonics [J Biophotonics] 2026 Sep; Vol. 19 (9), pp. e70364.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Wiley-VCH Country of Publication: Germany NLM ID: 101318567 Publication Model: Print Cited Medium: Internet ISSN: 1864-0648 (Electronic) Linking ISSN: 1864063X NLM ISO Abbreviation: J Biophotonics Subsets: MEDLINE
Imprint Name(s): Original Publication: Weinheim : Wiley-VCH
Ιατρικοί όροι (MeSH): Photoacoustic Techniques*/methods , Gray Matter*/blood supply , Gray Matter*/diagnostic imaging , Blood Vessels*/diagnostic imaging , Monte Carlo Method* , Lighting*, Humans
Περίληψη: Effective excitation of cerebrovascular photoacoustic signals is limited by superficial tissue attenuation and illumination geometry. This paper proposes a multi-source illumination evaluation method for gray-matter vessel targets based on Monte Carlo light transport and photoacoustic initial-pressure calculation using a simplified multilayer brain model for screening and a Tissue Probability Map (TPM) brain model for validation. The dual Collimated Gaussian source with 15° symmetric incidence along the Y direction performed best in the regular layered model, whereas the dual Pencil Array source with 20° symmetric incidence along the Y direction was optimal in the TPM model. These results suggest that regular layered models are suitable for preliminary screening, but the final illumination scheme should be revalidated under anatomical constraints. This study provides a theoretical reference for optimizing optical-source configurations in human brain photoacoustic imaging.
(© 2026 Wiley‐VCH GmbH.)
References: Neurophotonics. 2014 May 28;1(1):. (PMID: 25401121)
J Biomed Opt. 2018 Jan;23(1):1-4. (PMID: 29374404)
Interface Focus. 2011 Aug 6;1(4):602-31. (PMID: 22866233)
Science. 2012 Mar 23;335(6075):1458-62. (PMID: 22442475)
J Biomed Opt. 2012 Jun;17(6):061202. (PMID: 22734732)
Bioengineering (Basel). 2024 Sep 13;11(9):. (PMID: 39329658)
Opt Express. 2009 Oct 26;17(22):20178-90. (PMID: 19997242)
J Biomed Opt. 2014 Jan;19(1):17007. (PMID: 24474512)
Photochem Photobiol. 1998 Jan;67(1):23-32. (PMID: 9477762)
Neuroimage. 2005 Jul 1;26(3):839-51. (PMID: 15955494)
Bioengineering (Basel). 2024 Mar 07;11(3):. (PMID: 38534534)
J Biomed Opt. 2017 Apr 1;22(4):41008. (PMID: 27997016)
Bioengineering (Basel). 2025 Jan 07;12(1):. (PMID: 39851314)
IEEE Trans Ultrason Ferroelectr Freq Control. 2020 Apr;67(4):745-759. (PMID: 31796398)
Phys Med Biol. 2023 Mar 20;68(6):. (PMID: 36821863)
Biomed Opt Express. 2020 Jun 10;11(7):3684-3698. (PMID: 33014560)
J Biomed Opt. 2011 Sep;16(9):096016. (PMID: 21950930)
Biomed Opt Express. 2010 Aug 2;1(1):165-75. (PMID: 21170299)
J Biomed Opt. 2011 Apr;16(4):045001. (PMID: 21529068)
Vision Res. 1993 Jul;33(10):1431-6. (PMID: 8333164)
Opt Lett. 2008 May 1;33(9):929-31. (PMID: 18451942)
J Biomed Opt. 2020 Jan;25(1):1-16. (PMID: 31975577)
Front Big Data. 2022 Aug 18;5:990699. (PMID: 36059923)
Contributed Indexing: Keywords: Monte Carlo simulation; brain tissue; gray‐matter vessel; model‐transfer mismatch; multi‐source illumination; photoacoustic imaging; photoacoustic initial pressure
Entry Date(s): Date Created: 20260917 Date Completed: 20260917 Latest Revision: 20260922
Update Code: 20260922
PubMed Central ID: PMC13584657
DOI: 10.1002/jbio.70364
PMID: 42752981
Βάση Δεδομένων: MEDLINE
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  Data: Monte Carlo-Based Optimization of Multi-Source Illumination for Photoacoustic Signal Generation in Human Gray-Matter Vessels.
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  Data: <searchLink fieldCode="AU" term="%22Tong+J%22">Tong J</searchLink>; School of Mathematics and Physics, Hebei University of Engineering, Handan, China.<br /><searchLink fieldCode="AU" term="%22Han+H%22">Han H</searchLink>; School of Mathematics and Physics, Hebei University of Engineering, Handan, China.<br /><searchLink fieldCode="AU" term="%22Zhang+Y%22">Zhang Y</searchLink>; School of Mathematics and Physics, Hebei University of Engineering, Handan, China.<br /><searchLink fieldCode="AU" term="%22Shen+Y%22">Shen Y</searchLink>; School of Mathematics and Physics, Hebei University of Engineering, Handan, China.<br /><searchLink fieldCode="AU" term="%22Wang+Z%22">Wang Z</searchLink>; School of Mathematics and Physics, Hebei University of Engineering, Handan, China.<br /><searchLink fieldCode="AU" term="%22Yang+X%22">Yang X</searchLink>; Institute of Acoustics, Chinese Academy of Sciences, Beijing, China.
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  Data: Effective excitation of cerebrovascular photoacoustic signals is limited by superficial tissue attenuation and illumination geometry. This paper proposes a multi-source illumination evaluation method for gray-matter vessel targets based on Monte Carlo light transport and photoacoustic initial-pressure calculation using a simplified multilayer brain model for screening and a Tissue Probability Map (TPM) brain model for validation. The dual Collimated Gaussian source with 15° symmetric incidence along the Y direction performed best in the regular layered model, whereas the dual Pencil Array source with 20° symmetric incidence along the Y direction was optimal in the TPM model. These results suggest that regular layered models are suitable for preliminary screening, but the final illumination scheme should be revalidated under anatomical constraints. This study provides a theoretical reference for optimizing optical-source configurations in human brain photoacoustic imaging.<br /> (© 2026 Wiley‐VCH GmbH.)
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  Label: References
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  Data: Neurophotonics. 2014 May 28;1(1):. (PMID: <searchLink fieldCode="PM" term="%2225401121%22">25401121)</searchLink><br />J Biomed Opt. 2018 Jan;23(1):1-4. (PMID: <searchLink fieldCode="PM" term="%2229374404%22">29374404)</searchLink><br />Interface Focus. 2011 Aug 6;1(4):602-31. (PMID: <searchLink fieldCode="PM" term="%2222866233%22">22866233)</searchLink><br />Science. 2012 Mar 23;335(6075):1458-62. (PMID: <searchLink fieldCode="PM" term="%2222442475%22">22442475)</searchLink><br />J Biomed Opt. 2012 Jun;17(6):061202. (PMID: <searchLink fieldCode="PM" term="%2222734732%22">22734732)</searchLink><br />Bioengineering (Basel). 2024 Sep 13;11(9):. (PMID: <searchLink fieldCode="PM" term="%2239329658%22">39329658)</searchLink><br />Opt Express. 2009 Oct 26;17(22):20178-90. (PMID: <searchLink fieldCode="PM" term="%2219997242%22">19997242)</searchLink><br />J Biomed Opt. 2014 Jan;19(1):17007. (PMID: <searchLink fieldCode="PM" term="%2224474512%22">24474512)</searchLink><br />Photochem Photobiol. 1998 Jan;67(1):23-32. (PMID: <searchLink fieldCode="PM" term="%229477762%22">9477762)</searchLink><br />Neuroimage. 2005 Jul 1;26(3):839-51. (PMID: <searchLink fieldCode="PM" term="%2215955494%22">15955494)</searchLink><br />Bioengineering (Basel). 2024 Mar 07;11(3):. (PMID: <searchLink fieldCode="PM" term="%2238534534%22">38534534)</searchLink><br />J Biomed Opt. 2017 Apr 1;22(4):41008. (PMID: <searchLink fieldCode="PM" term="%2227997016%22">27997016)</searchLink><br />Bioengineering (Basel). 2025 Jan 07;12(1):. (PMID: <searchLink fieldCode="PM" term="%2239851314%22">39851314)</searchLink><br />IEEE Trans Ultrason Ferroelectr Freq Control. 2020 Apr;67(4):745-759. (PMID: <searchLink fieldCode="PM" term="%2231796398%22">31796398)</searchLink><br />Phys Med Biol. 2023 Mar 20;68(6):. (PMID: <searchLink fieldCode="PM" term="%2236821863%22">36821863)</searchLink><br />Biomed Opt Express. 2020 Jun 10;11(7):3684-3698. (PMID: <searchLink fieldCode="PM" term="%2233014560%22">33014560)</searchLink><br />J Biomed Opt. 2011 Sep;16(9):096016. (PMID: <searchLink fieldCode="PM" term="%2221950930%22">21950930)</searchLink><br />Biomed Opt Express. 2010 Aug 2;1(1):165-75. (PMID: <searchLink fieldCode="PM" term="%2221170299%22">21170299)</searchLink><br />J Biomed Opt. 2011 Apr;16(4):045001. (PMID: <searchLink fieldCode="PM" term="%2221529068%22">21529068)</searchLink><br />Vision Res. 1993 Jul;33(10):1431-6. (PMID: <searchLink fieldCode="PM" term="%228333164%22">8333164)</searchLink><br />Opt Lett. 2008 May 1;33(9):929-31. (PMID: <searchLink fieldCode="PM" term="%2218451942%22">18451942)</searchLink><br />J Biomed Opt. 2020 Jan;25(1):1-16. (PMID: <searchLink fieldCode="PM" term="%2231975577%22">31975577)</searchLink><br />Front Big Data. 2022 Aug 18;5:990699. (PMID: <searchLink fieldCode="PM" term="%2236059923%22">36059923)</searchLink>
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              Text: 2026 Sep
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