{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T13:32:07Z","timestamp":1770298327827,"version":"3.49.0"},"reference-count":55,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2024,3,29]],"date-time":"2024-03-29T00:00:00Z","timestamp":1711670400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Intel Rise","award":["78663-2023"],"award-info":[{"award-number":["78663-2023"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>Microvasculature analysis is an important task in the medical field due to its various applications. It has been used for the diagnosis and threat of diseases in fields such as ophthalmology, dermatology, and neurology by measuring relative blood flow or blood vessel morphological properties. However, light scattering at the periphery of the blood vessel causes a decrease in contrast around the vessel borders and an increase in the noise of the image, making the localization of blood vessels a challenging task. Therefore, this work proposes integrating known information from the experimental setup into a deep learning architecture with multiple inputs to improve the generalization of a computational model for the segmentation of blood vessels and depth estimation in a single inference step. The proposed R-UNET + ET + LA obtained an intersection over union of 0.944 \u00b1 0.065 and 0.812 \u00b1 0.080 in the classification task for validation (in vitro) and test sets (in vivo), respectively, and a root mean squared error of 0.0085 \u00b1 0.0275 \u03bcm in the depth estimation. This approach improves the generalization of current solutions by pre-training with in vitro data and adding information from the experimental setup. Additionally, the method can infer the depth of a blood vessel pixel by pixel instead of in regions as the current state of the art does.<\/jats:p>","DOI":"10.3390\/info15040185","type":"journal-article","created":{"date-parts":[[2024,4,4]],"date-time":"2024-04-04T11:11:09Z","timestamp":1712229069000},"page":"185","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Improving Blood Vessel Segmentation and Depth Estimation in Laser Speckle Images Using Deep Learning"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5799-0955","authenticated-orcid":false,"given":"Eduardo","family":"Morales-Vargas","sequence":"first","affiliation":[{"name":"Tecnol\u00f3gico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Av. Gral. Ram\u00f3n Corona No 2514, Zapopan 45201, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8623-091X","authenticated-orcid":false,"given":"Hayde","family":"Peregrina-Barreto","sequence":"additional","affiliation":[{"name":"Instituto Nacional de Astrof\u00edsica, \u00d3ptica y Electr\u00f3nica, Luis Enrique Erro 1, Santa Maria Tonantzintla, San Andres Cholula 72840, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2559-539X","authenticated-orcid":false,"given":"Rita Q.","family":"Fuentes-Aguilar","sequence":"additional","affiliation":[{"name":"Tecnol\u00f3gico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Av. Gral. Ram\u00f3n Corona No 2514, Zapopan 45201, Mexico"}]},{"given":"Juan Pablo","family":"Padilla-Martinez","sequence":"additional","affiliation":[{"name":"Instituto de Ciencias, Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla 72000, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5223-3189","authenticated-orcid":false,"given":"Wendy Argelia","family":"Garcia-Suastegui","sequence":"additional","affiliation":[{"name":"Instituto de Ciencias, Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla 72000, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4720-2668","authenticated-orcid":false,"given":"Julio C.","family":"Ramirez-San-Juan","sequence":"additional","affiliation":[{"name":"Instituto Nacional de Astrof\u00edsica, \u00d3ptica y Electr\u00f3nica, Luis Enrique Erro 1, Santa Maria Tonantzintla, San Andres Cholula 72840, Mexico"}]}],"member":"1968","published-online":{"date-parts":[[2024,3,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1034\/j.1600-0420.2001.079001045.x","article-title":"The acute effects of stellate ganglion block on circulation in human ocular fundus","volume":"79","author":"Nagahara","year":"2001","journal-title":"Acta Ophthalmol. Scand."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/j.neuroimage.2005.07.019","article-title":"Imaging the development of an ischemic core following photochemically induced cortical infarction in rats using Laser Speckle Contrast Analysis (LASCA)","volume":"29","author":"Paul","year":"2006","journal-title":"NeuroImage"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1007\/s11517-012-0902-z","article-title":"Review of laser speckle-based analysis in medical imaging","volume":"50","author":"Basak","year":"2012","journal-title":"Med. Biol. Eng. Comput."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1002\/lsm.21155","article-title":"Preclinical in vivo evaluation of Npe6-mediated photodynamic therapy on normal vasculature","volume":"44","author":"Moy","year":"2012","journal-title":"Lasers Surg. Med."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Smith, M.S.D., Packulak, E.F., and Sowa, M.G. (2006, January 5\u20138). Development of a laser speckle imaging system for measuring relative blood flow velocity. Proceedings of the SPIE\u2014The International Society for Optical Engineering, Quebec City, QC, Canada.","DOI":"10.1117\/12.706548"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Kozlov, I.O., Stavtcev, D.D., Konovalov, A.N., Grebenev, F.V., Piavchenko, G.A., and Meglinski, I. (July, January 29). Real-Time Mapping of Blood Perfusion during Neurosurgical Interventions. Proceedings of the 2023 IEEE 24th International Conference of Young Professionals in Electron Devices and Materials (EDM), Novosibirsk, Russia.","DOI":"10.1109\/EDM58354.2023.10225224"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Piavchenko, G., Kozlov, I., Dremin, V., Stavtsev, D., Seryogina, E., Kandurova, K., Shupletsov, V., Lapin, K., Alekseyev, A., and Kuznetsov, S. (2021). Impairments of cerebral blood flow microcirculation in rats brought on by cardiac cessation and respiratory arrest. J. Biophotonics, 14.","DOI":"10.1002\/jbio.202100216"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1038\/s41598-023-51022-2","article-title":"Real-time laser speckle contrast imaging for intraoperative neurovascular blood flow assessment: Animal experimental study","volume":"14","author":"Konovalov","year":"2024","journal-title":"Sci. Rep."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1016\/S1350-9462(02)00008-3","article-title":"The impact of ocular blood flow in glaucoma","volume":"21","author":"Flammer","year":"2002","journal-title":"Prog. Retin. Eye Res."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Postnov, D.D., Tuchin, V.V., and Sosnovtseva, O. (2016). Estimation of vessel diameter and blood flow dynamics from laser speckle images. Biomed. Opt. Express, 7.","DOI":"10.1364\/BOE.7.002759"},{"key":"ref_11","first-page":"6800812","article-title":"The Role of Laser Speckle Imaging in Port-Wine Stain Research: Recent Advances and Opportunities","volume":"4","author":"Bernard","year":"2017","journal-title":"IEEE J. Sel. Top. Quantum Electron."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1215","DOI":"10.1111\/j.1365-2133.2012.11139.x","article-title":"Noninvasive clinical assessment of port-wine stain birthmarks using current and future optical imaging technology: A review","volume":"167","author":"Sharif","year":"2012","journal-title":"Br. J. Dermatol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"632","DOI":"10.25259\/SNI_143_2021","article-title":"Laser speckle imaging to evaluate scalp flap blood flow during closure in neurosurgical procedures","volume":"12","author":"Carlson","year":"2021","journal-title":"Surg. Neurol. Int."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.wneu.2022.12.048","article-title":"Laser Speckle Contrast Imaging in Neurosurgery: A Systematic Review","volume":"171","author":"Konovalov","year":"2023","journal-title":"World Neurosurg."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Spetzler, R.F., Yashar, M., Kalani, S., and Nakaji, P. (2015). Neurovascular Surgery, Georg Thieme Verlag.","DOI":"10.1055\/b-0035-122313"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1117\/1.NPh.1.1.015006","article-title":"Intraoperative laser speckle contrast imaging with retrospective motion correction for quantitative assessment of cerebral blood flow","volume":"1","author":"Richards","year":"2014","journal-title":"Neurophotonics"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Parthasarathy, A.B., Weber, E.L., Richards, L.M., Fox, D.J., and Dunn, A.K. (2010). Laser speckle contrast imaging of cerebral blood flow in humans during neurosurgery: A pilot clinical study. J. Biomed. Opt., 15.","DOI":"10.1117\/1.3526368"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"274","DOI":"10.3171\/2016.1.JNS152067","article-title":"Avoidance of ischemic complications after resection of a brain lesion based on intraoperative real-time recognition of the vasculature using laser speckle flow imaging","volume":"126","author":"Ideguchi","year":"2017","journal-title":"J. Neurosurg."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1000","DOI":"10.1038\/jcbfm.2013.42","article-title":"Laser Speckle Imaging Allows Real-Time Intraoperative Blood Flow Assessment During Neurosurgical Procedures","volume":"33","author":"Hecht","year":"2013","journal-title":"J. Cereb. Blood Flow Metab."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"e753","DOI":"10.1016\/j.wneu.2013.09.012","article-title":"Reliability of Laser Speckle Flow Imaging for Intraoperative Monitoring of Cerebral Blood Flow During Cerebrovascular Surgery: Comparison with Cerebral Blood Flow Measurement by Single Photon Emission Computed Tomography","volume":"82","author":"Nomura","year":"2014","journal-title":"World Neurosurg."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"021908","DOI":"10.1117\/1.NPh.9.2.021908","article-title":"Continuous blood flow visualization with laser speckle contrast imaging during neurovascular surgery","volume":"9","author":"Miller","year":"2022","journal-title":"Neurophotonics"},{"key":"ref_22","first-page":"77","article-title":"Multiphoton microscopy for blood vessel imaging: New non-invasive tools (Spectral, SHG, FLIM)","volume":"Volume 37","author":"Werkmeister","year":"2007","journal-title":"Clinical Hemorheology and Microcirculation"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"5192875","DOI":"10.1155\/2019\/5192875","article-title":"Label-free imaging of blood vessels in human normal breast and breast tumor tissue using multiphoton microscopy","volume":"2019","author":"Xi","year":"2019","journal-title":"Scanning"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"2061","DOI":"10.1364\/OL.28.002061","article-title":"Volumetric diffuse optical tomography of brain activity","volume":"28","author":"Siegel","year":"2003","journal-title":"Opt. Lett."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"9868","DOI":"10.1073\/pnas.87.24.9868","article-title":"Brain magnetic resonance imaging with contrast dependent on blood oxygenation","volume":"87","author":"Ogawa","year":"1990","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"618","DOI":"10.1109\/TMI.2014.2364079","article-title":"Analysis of laser speckle contrast images variability using a novel empirical mode decomposition: Comparison of results with laser doppler flowmetry signals variability","volume":"34","author":"Abraham","year":"2015","journal-title":"IEEE Trans. Med. Imaging"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/j.mvr.2009.02.008","article-title":"Measurement depth and volume in laser Doppler flowmetry","volume":"78","author":"Fredriksson","year":"2009","journal-title":"Microvasc. Res."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"639","DOI":"10.1007\/s10103-008-0626-3","article-title":"Review of laser speckle contrast techniques for visualizing tissue perfusion","volume":"24","author":"Draijer","year":"2009","journal-title":"Lasers Med Sci."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Regan, C., Hayakawa, C., and Choi, B. (2017). Momentum transfer Monte Carlo for the simulation of laser speckle imaging and its application in the skin. Biomed. Opt. Express, 8.","DOI":"10.1364\/BOE.8.005708"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.optlaseng.2014.05.009","article-title":"In vivo laser speckle imaging by adaptive contrast computation for microvasculature assessment","volume":"62","author":"Basak","year":"2014","journal-title":"Opt. Lasers Eng."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Briers, J.D., and Webster, S. (1996). Laser speckle contrast analysis (LASCA): A nonscanning, full-field technique for monitoring capillary blood flow. J. Biomed. Opt., 1.","DOI":"10.1117\/12.231359"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1463","DOI":"10.1088\/0031-9155\/53\/5\/019","article-title":"Thermal depth profiling of vascular lesions: Automated regularization of reconstruction algorithms","volume":"53","author":"Verkruysse","year":"2008","journal-title":"Phys. Med. Biol."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Kim, J., Oh, J., and Choi, B. (2010). Magnetomotive laser speckle imaging. J. Biomed. Opt., 15.","DOI":"10.1117\/1.3285612"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"86","DOI":"10.3807\/JOSK.2013.17.1.086","article-title":"Contrast enhancement of laser speckle skin image: Use of optical clearing agent in conjunction with micro-needling","volume":"17","author":"Son","year":"2008","journal-title":"J. Opt. Soc. Korea"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"897","DOI":"10.1002\/jbio.201400140","article-title":"A simple approach for non-invasive transcranial optical vascular imaging (nTOVI)","volume":"8","author":"Kalchenko","year":"2015","journal-title":"J. Biophotonics"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Kalchenko, V., Meglinski, I., Sdobnov, A., Kuznetsov, Y., and Harmelin, A. (2019). Combined laser speckle imaging and fluorescent intravital microscopy for monitoring acute vascular permeability reaction. J. Biomed. Opt., 24.","DOI":"10.1117\/1.JBO.24.6.060501"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Molodij, G., Sdobnov, A., Kuznetsov, Y., Harmelin, A., Meglinski, I., and Kalchenko, V. (2020). Time-space Fourier \u03ba\u03c9\u2032 filter for motion artifacts compensation during transcranial fluorescence brain imaging. Phys. Med. Biol., 65.","DOI":"10.1088\/1361-6560\/ab7631"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Kalchenko, V., Sdobnov, A., Meglinski, I., Kuznetsov, Y., Molodij, G., and Harmelin, A. (2019). A robust method for adjustment of laser speckle contrast imaging during transcranial mouse brain visualization. Photonics, 6.","DOI":"10.3390\/photonics6030080"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Morales-Vargas, E., Peregrina-Barreto, H., and Ramirez-San-Juan, J.C. (2021). Adaptive processing for noise attenuation in laser speckle contrast imaging. Comput. Methods Programs Biomed., 212.","DOI":"10.1016\/j.cmpb.2021.106486"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"3086","DOI":"10.1364\/BOE.488054","article-title":"Adaptive window space direction laser speckle contrast imaging to improve vascular visualization","volume":"14","author":"Han","year":"2023","journal-title":"Biomed. Opt. Express"},{"key":"ref_41","first-page":"1274509","article-title":"Enhancing laser speckle contrast imaging based on adaptive scale and directional kernel during V-PDT","volume":"Volume 12745","author":"Luo","year":"2023","journal-title":"Proceedings of the Sixteenth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2023)"},{"key":"ref_42","first-page":"1277028","article-title":"Study of adaptive window space direction contrast method in transmission speckle contrast imaging","volume":"Volume 12770","author":"Luo","year":"2023","journal-title":"Proceedings of the Optics in Health Care and Biomedical Optics XIII"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1272","DOI":"10.1109\/TBME.2012.2183675","article-title":"Anisotropic processing of laser speckle images improves spatiotemporal resolution","volume":"59","author":"Rege","year":"2012","journal-title":"IEEE Trans. Bio-Med Eng."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Morales-Vargas, E., Sosa-Martinez, J., Peregrina-Barreto, H., Rangel-Magdaleno, J., and Ramirez-San-Juan, J. (2018, January 14\u201317). A morphological approach for locating blood vessels in laser contrast speckle imaging. Proceedings of the I2MTC 2018\u20142018 IEEE International Instrumentation and Measurement Technology Conference: Discovering New Horizons in Instrumentation and Measurement, Houston, TX, USA.","DOI":"10.1109\/I2MTC.2018.8409778"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1109\/TMI.2023.3287200","article-title":"Robust vascular segmentation for raw complex images of laser speckle contrast based on weakly supervised learning","volume":"43","author":"Fu","year":"2023","journal-title":"IEEE Trans. Med Imaging"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"2913","DOI":"10.1364\/OL.489480","article-title":"Deep-learning-based 3D blood flow reconstruction in transmissive laser speckle imaging","volume":"48","author":"Chen","year":"2023","journal-title":"Opt. Lett."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Zhu, J.Y., Park, T., Isola, P., and Efros, A.A. (2017, January 22\u201329). Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks. Proceedings of the IEEE International Conference on Computer Vision, Venice, Italy.","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Lopez-Tiro, F., Peregrina-Barreto, H., Rangel-Magdaleno, J., and Ramirez-San-Juan, J.C. (2021, January 17\u201320). Localization of blood vessels in in-vitro LSCI images with K-means. Proceedings of the Conference Record\u2014IEEE Instrumentation and Measurement Technology Conference, Glasgow, UK.","DOI":"10.1109\/I2MTC50364.2021.9460100"},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Morales-Vargas, E., Padilla-Martinez, J.P., Peregrina-Barreto, H., Garcia-Suastegui, W.A., and Ramirez-San-Juan, J.C. (2022). Adaptive Feature Extraction for Blood Vessel Segmentation and Contrast Recalculation in Laser Speckle Contrast Imaging. Micromachines, 13.","DOI":"10.3390\/mi13101788"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"2188","DOI":"10.1364\/OL.32.002188","article-title":"Simplified laser-speckle-imaging analysis method and its application to retinal blood flow imaging","volume":"32","author":"Cheng","year":"2007","journal-title":"Opt. Lett."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Qiu, J. (2010). Spatiotemporal laser speckle contrast analysis for blood flow imaging with maximized speckle contrast. J. Biomed. Opt., 15.","DOI":"10.1117\/1.3290804"},{"key":"ref_52","first-page":"685802","article-title":"Spatio-temporal algorithms for processing laser speckle imaging data","volume":"Volume 6858","author":"Kirkpatrick","year":"2008","journal-title":"Proceedings of the Optics in Tissue Engineering and Regenerative Medicine II"},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Perez-Corona, C.E., Peregrina-Barreto, H., Rangel-Magdaleno, J., Ramos-Garcia, R., and Ramirez-San-Juan, J.C. (2018, January 14\u201317). Space-directional laser speckle contrast imaging to improve blood vessels visualization. Proceedings of the I2MTC 2018\u20142018 IEEE International Instrumentation and Measurement Technology Conference: Discovering New Horizons in Instrumentation and Measurement, Houston, TX, USA.","DOI":"10.1109\/I2MTC.2018.8409711"},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Morales-Vargas, E., Peregrina-Barreto, H., and Ramirez-San-Juan, J.C. (2022, January 9\u201311). Exposure Time and Depth Effect in Laser Speckle Contrast Images under an Adaptive Processing. Proceedings of the 2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), Ixtapa, Mexico.","DOI":"10.1109\/ROPEC55836.2022.10018573"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"3545","DOI":"10.1364\/BOE.10.003545","article-title":"Hyperspectral imaging of human skin aided by artificial neural networks","volume":"10","author":"Zherebtsov","year":"2019","journal-title":"Biomed. Opt. 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