{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T15:17:09Z","timestamp":1772810229560,"version":"3.50.1"},"reference-count":101,"publisher":"Public Library of Science (PLoS)","issue":"12","license":[{"start":{"date-parts":[[2023,12,14]],"date-time":"2023-12-14T00:00:00Z","timestamp":1702512000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"publisher","award":["EP\/R045046\/1"],"award-info":[{"award-number":["EP\/R045046\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS ONE"],"abstract":"<jats:p>Accurate velocity reconstruction is essential for assessing coronary artery disease. We propose a Gaussian process method to reconstruct the velocity profile using the sparse data of the positron emission particle tracking (PEPT) in a biological environment, which allows the measurement of tracer particle velocity to infer fluid velocity fields. We investigated the influence of tracer particle quantity and detection time interval on flow reconstruction accuracy. Three models were used to represent different levels of stenosis and anatomical complexity: a narrowed straight tube, an idealized coronary bifurcation with stenosis, and patient-specific coronary arteries with a stenotic left circumflex artery. Computational fluid dynamics (CFD), particle tracking, and the Gaussian process of kriging were employed to simulate and reconstruct the pulsatile flow field. The study examined the error and uncertainty in velocity profile reconstruction after stenosis by comparing particle-derived flow velocity with the CFD solution. Using 600 particles (15 batches of 40 particles) released in the main coronary artery, the time-averaged error in velocity reconstruction ranged from 13.4% (no occlusion) to 161% (70% occlusion) in patient-specific anatomy. The error in maximum cross-sectional velocity at peak flow was consistently below 10% in all cases. PEPT and kriging tended to overestimate area-averaged velocity in higher occlusion cases but accurately predicted maximum cross-sectional velocity, particularly at peak flow. Kriging was shown to be useful to estimate the maximum velocity after the stenosis in the absence of negative near-wall velocity.<\/jats:p>","DOI":"10.1371\/journal.pone.0295789","type":"journal-article","created":{"date-parts":[[2023,12,14]],"date-time":"2023-12-14T18:32:52Z","timestamp":1702578772000},"page":"e0295789","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":4,"title":["Using Gaussian process for velocity reconstruction after coronary stenosis applicable in positron emission particle tracking: An in-silico study"],"prefix":"10.1371","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0156-9739","authenticated-orcid":true,"given":"Hamed","family":"Keramati","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4378-0401","authenticated-orcid":true,"given":"Adelaide","family":"de 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Cecco","year":"2014","journal-title":"Circulation"},{"key":"pone.0295789.ref003","first-page":"1","article-title":"Comparative effectiveness of initial computed tomography and invasive coronary angiography in women and men with stable chest pain and suspected coronary artery disease: Multicentre randomised trial","author":"KF Kofoed","year":"2022","journal-title":"BMJ"},{"key":"pone.0295789.ref004","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1002\/jmri.28303","article-title":"Comparison of 2D and 4D Flow MRI in Neonates Without General Anesthesia","volume":"57","author":"P Sj\u00f6berg","year":"2023","journal-title":"J Magn Reson Imaging"},{"key":"pone.0295789.ref005","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12968-015-0174-5","article-title":"4D flow cardiovascular magnetic resonance consensus statement","volume":"17","author":"P Dyverfeldt","year":"2015","journal-title":"J Cardiovasc Magn 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Cressie","year":"1990","journal-title":"Math Geol"},{"key":"pone.0295789.ref047","first-page":"1","article-title":"Design optimization of stent and its dilatation balloon using kriging surrogate model","volume":"16","author":"H Li","year":"2017","journal-title":"Biomed Eng Online"},{"key":"pone.0295789.ref048","doi-asserted-by":"crossref","first-page":"730","DOI":"10.1016\/j.cma.2019.02.002","article-title":"Kriging-assisted topology optimization of crash structures","volume":"348","author":"E Raponi","year":"2019","journal-title":"Comput Methods Appl Mech Eng"},{"key":"pone.0295789.ref049","doi-asserted-by":"crossref","first-page":"413","DOI":"10.2514\/1.6386","article-title":"Efficient optimization design method using kriging model","volume":"42","author":"S Jeong","year":"2005","journal-title":"J Aircr"},{"key":"pone.0295789.ref050","doi-asserted-by":"crossref","first-page":"1048","DOI":"10.1016\/j.scitotenv.2018.01.294","article-title":"Spatial analysis of the risk to human health from exposure to arsenic contaminated groundwater: A kriging approach","volume":"627","author":"CP Liang","year":"2018","journal-title":"Sci Total Environ"},{"key":"pone.0295789.ref051","doi-asserted-by":"crossref","DOI":"10.1186\/1476-072X-4-31","article-title":"Geostatistical analysis of disease data: Estimation of cancer mortality risk from empirical frequencies using Poisson kriging","volume":"4","author":"P. Goovaerts","year":"2005","journal-title":"Int J Health Geogr"},{"key":"pone.0295789.ref052","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1476-072X-7-6","article-title":"How does Poisson kriging compare to the popular BYM model for mapping disease risks?","volume":"7","author":"P Goovaerts","year":"2008","journal-title":"Int J Health Geogr"},{"key":"pone.0295789.ref053","doi-asserted-by":"crossref","first-page":"1337","DOI":"10.1016\/j.cageo.2007.05.006","article-title":"A local space-time kriging approach applied to a national outpatient malaria data set","volume":"33","author":"PW Gething","year":"2007","journal-title":"Comput Geosci"},{"key":"pone.0295789.ref054","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1476-072X-3-18","article-title":"Exploratory disease mapping: Kriging the spatial risk function from regional count data","volume":"3","author":"O. Berke","year":"2004","journal-title":"Int J Health Geogr"},{"key":"pone.0295789.ref055","first-page":"2137","article-title":"Efficacy of Kriging Interpolation in Ultrasound Imaging; Subsample Displacement Estimation","author":"B Rebholz","year":"2020","journal-title":"Proc Annu Int Conf IEEE Eng Med Biol Soc EMBS"},{"key":"pone.0295789.ref056","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1016\/0895-6111(93)90059-V","article-title":"Using kriging for 3d medical imaging","volume":"17","author":"MR Stytz","year":"1993","journal-title":"Comput Med Imaging Graph"},{"key":"pone.0295789.ref057","doi-asserted-by":"crossref","first-page":"590","DOI":"10.1109\/34.777370","article-title":"Image thresholding by indicator kriging","volume":"21","author":"W Oh","year":"1999","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"pone.0295789.ref058","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pone.0271469","article-title":"Integrating particle tracking with computational fluid dynamics to assess haemodynamic perturbation by coronary artery stents","volume":"17","author":"L Boldock","year":"2022","journal-title":"PLoS One"},{"key":"pone.0295789.ref059","doi-asserted-by":"crossref","first-page":"1768","DOI":"10.1161\/CIRCULATIONAHA.105.603050","article-title":"Evidence of a dominant backward-propagating \u201csuction\u201d wave responsible for diastolic coronary filling in humans, attenuated in left ventricular hypertrophy","volume":"113","author":"JE Davies","year":"2006","journal-title":"Circulation"},{"key":"pone.0295789.ref060","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1161\/01.CIR.86.1.232","article-title":"Lumen diameter of normal human coronary arteries: Influence of age, sex, anatomic variation, and left ventricular hypertrophy or dilation","volume":"86","author":"JT Dodge","year":"1992","journal-title":"Circulation"},{"key":"pone.0295789.ref061","doi-asserted-by":"crossref","first-page":"565","DOI":"10.1016\/0735-1097(88)91532-X","article-title":"Echocardiographic visualization of coronary artery anatomy in the adult","volume":"11","author":"PS Douglas","year":"1988","journal-title":"J Am Coll Cardiol"},{"key":"pone.0295789.ref062","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4612-1282-9","volume-title":"The Physics of Pulsatile Flow (Biological Physics Series)","author":"M. Zamir","year":"2000"},{"key":"pone.0295789.ref063","doi-asserted-by":"crossref","first-page":"1323","DOI":"10.1016\/j.mri.2012.05.001","article-title":"3D Slicer as an image computing platform for the Quantitative Imaging Network","volume":"30","author":"A Fedorov","year":"2012","journal-title":"Magn Reson Imaging"},{"key":"pone.0295789.ref064","doi-asserted-by":"crossref","first-page":"e02708","DOI":"10.1002\/cnm.2708","article-title":"Hemodynamic analysis of patient-specific coronary artery tree","volume":"31","author":"G Ziervogel","year":"2015","journal-title":"Int j numer method biomed eng"},{"key":"pone.0295789.ref065","doi-asserted-by":"crossref","first-page":"107823","DOI":"10.1016\/j.cmpb.2023.107823","article-title":"Modelling blood flow in coronary arteries: Newtonian or shear-thinning non-Newtonian rheology?","volume":"242","author":"G De Nisco","year":"2023","journal-title":"Comput Methods Programs Biomed"},{"key":"pone.0295789.ref066","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1007\/s10237-012-0383-x","article-title":"Computational simulations of hemodynamic changes within thoracic, coronary, and cerebral arteries following early wall remodeling in response to distal aortic coarctation","volume":"12","author":"JS Coogan","year":"2013","journal-title":"Biomech Model Mechanobiol"},{"key":"pone.0295789.ref067","doi-asserted-by":"crossref","first-page":"3195","DOI":"10.1007\/s10439-010-0083-6","article-title":"Patient-specific modeling of blood flow and pressure in human coronary arteries","volume":"38","author":"HJ Kim","year":"2010","journal-title":"Ann Biomed Eng"},{"key":"pone.0295789.ref068","first-page":"100815","article-title":"Comparison of diagnostic performance in on-site based CT-derived fractional flow reserve measurements","volume":"35","author":"YO Nozaki","year":"2021","journal-title":"IJC Hear Vasc"},{"key":"pone.0295789.ref069","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1016\/j.jcct.2017.08.004","article-title":"What is the optimal anatomic location for coronary artery pressure measurement at CT-derived FFR?","volume":"11","author":"M Solecki","year":"2017","journal-title":"J Cardiovasc Comput Tomogr"},{"key":"pone.0295789.ref070","doi-asserted-by":"crossref","DOI":"10.1201\/9781482276411","volume-title":"Colloidal science of flotation","author":"A Nguyen","year":"2003"},{"key":"pone.0295789.ref071","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1017\/jfm.2022.764","article-title":"Understanding of turbulence modulation and particle response in a particle-laden jet from direct numerical simulations","volume":"950","author":"H Zhou","year":"2022","journal-title":"J Fluid Mech"},{"key":"pone.0295789.ref072","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1007\/s11307-019-01337-2","article-title":"The Impact of Positron Range on PET Resolution, Evaluated with Phantoms and PHITS Monte Carlo Simulations for Conventional and Non-conventional Radionuclides","volume":"22","author":"LM Carter","year":"2020","journal-title":"Mol Imaging Biol"},{"key":"pone.0295789.ref073","doi-asserted-by":"crossref","unstructured":"Jenkins C, Wilkes J, Marker D. Improved surface accuracy of precision membrane reflectors through adaptive rim control. 39th AIAA\/ASME\/ASCE\/AHS\/ASC Structures, Structural Dynamics, and Materials Conference and Exhibit. 1998. p. 1983.","DOI":"10.2514\/6.1998-1983"},{"key":"pone.0295789.ref074","doi-asserted-by":"crossref","first-page":"3421","DOI":"10.1093\/eurheartj\/ehz551","article-title":"Expert recommendations on the assessment of wall shear stress in human coronary arteries: Existing methodologies, technical considerations, and clinical applications","volume":"40","author":"F Gijsen","year":"2019","journal-title":"Eur Heart J"},{"key":"pone.0295789.ref075","doi-asserted-by":"crossref","first-page":"2228","DOI":"10.1007\/s10439-012-0579-3","article-title":"Patient-specific multiscale modeling of blood flow for coronary artery bypass graft surgery","volume":"40","author":"S Sankaran","year":"2012","journal-title":"Ann Biomed Eng"},{"key":"pone.0295789.ref076","doi-asserted-by":"crossref","first-page":"765","DOI":"10.1161\/01.CIR.101.7.765","article-title":"Assessment of aortic valve stenosis severity: A new index based on the energy loss concept","volume":"101","author":"D Garcia","year":"2000","journal-title":"Circulation"},{"key":"pone.0295789.ref077","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/j.media.2015.08.012","article-title":"Non-invasive pressure difference estimation from PC-MRI using the work-energy equation","volume":"26","author":"F Donati","year":"2015","journal-title":"Med Image Anal"},{"key":"pone.0295789.ref078","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.nucengdes.2016.01.017","article-title":"Positron Emission Particle Tracking (PEPT) for Fluid Flow Measurements","volume":"302","author":"S Langford","year":"2016","journal-title":"Nucl Eng Des"},{"key":"pone.0295789.ref079","doi-asserted-by":"crossref","first-page":"623","DOI":"10.1016\/j.jcmg.2010.04.007","article-title":"Cardiac PET imaging for the detection and monitoring of coronary artery disease and microvascular health","volume":"3","author":"TH Schindler","year":"2010","journal-title":"JACC Cardiovasc Imaging"},{"key":"pone.0295789.ref080","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1097\/RCT.0000000000000312","article-title":"Improved semiautomated 4D flow MRI analysis in the aorta in patients with congenital aortic valve anomalies versus tricuspid aortic valves","volume":"40","author":"S Schnell","year":"2016","journal-title":"J Comput Assist Tomogr"},{"key":"pone.0295789.ref081","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3389\/fcvm.2019.00001","article-title":"Automatic Estimation of Coronary Blood Flow Velocity Step 1 for Developing a Tool to Diagnose Patients With Micro-Vascular Angina Pectoris","volume":"6","author":"M Khanmohammadi","year":"2019","journal-title":"Front Cardiovasc Med"},{"key":"pone.0295789.ref082","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1016\/j.flowmeasinst.2017.02.009","article-title":"Positron emission particle tracking (PEPT): A novel approach to flow visualisation in lab-scale anaerobic digesters","volume":"54","author":"RC Sindall","year":"2017","journal-title":"Flow Meas Instrum"},{"key":"pone.0295789.ref083","doi-asserted-by":"crossref","DOI":"10.1063\/5.0055600","article-title":"Uncovering near-wall blood flow from sparse data with physics-informed neural networks","volume":"33","author":"A Arzani","year":"2021","journal-title":"Phys Fluids"},{"key":"pone.0295789.ref084","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1016\/j.ces.2019.04.030","article-title":"Qualification of multiple-particle positron emission particle tracking (M-PEPT) technique for measurements in turbulent wall-bounded flow","volume":"204","author":"C Wiggins","year":"2019","journal-title":"Chem Eng Sci"},{"key":"pone.0295789.ref085","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/0026-2862(80)90083-7","article-title":"The interaction of leukocytes and erythrocytes in capillary and postcapillary vessels","volume":"19","author":"GW Schmid-Sch\u00f6nbein","year":"1980","journal-title":"Microvasc Res"},{"key":"pone.0295789.ref086","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/0026-2862(88)90036-2","article-title":"Conditions for the occurrence of large near-wall excesses of small particles during blood flow","volume":"36","author":"EC Eckstein","year":"1988","journal-title":"Microvasc Res"},{"key":"pone.0295789.ref087","doi-asserted-by":"crossref","first-page":"1130","DOI":"10.1007\/s10439-008-9494-z","article-title":"Micro-flow visualization of red blood cell-enhanced platelet concentration at sudden expansion","volume":"36","author":"R Zhao","year":"2008","journal-title":"Ann Biomed Eng"},{"key":"pone.0295789.ref088","first-page":"1","article-title":"On the near-wall accumulation of injectable particles in the microcirculation: Smaller is not better","volume":"3","author":"TR Lee","year":"2013","journal-title":"Sci Rep"},{"key":"pone.0295789.ref089","doi-asserted-by":"crossref","DOI":"10.1063\/1.4833975","article-title":"Hematocrit and flow rate regulate the adhesion of platelets to von Willebrand factor","volume":"7","author":"H Chen","year":"2013","journal-title":"Biomicrofluidics"},{"key":"pone.0295789.ref090","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1146\/annurev.fluid.37.042604.133933","article-title":"Microcirculation and hemorheology","volume":"37","author":"AS Popel","year":"2005","journal-title":"Annu Rev Fluid Mech"},{"key":"pone.0295789.ref091","doi-asserted-by":"crossref","first-page":"2961","DOI":"10.1039\/C3SM52860J","article-title":"White blood cell margination in microcirculation","volume":"10","author":"DA Fedosov","year":"2014","journal-title":"Soft Matter"},{"key":"pone.0295789.ref092","doi-asserted-by":"crossref","first-page":"514","DOI":"10.1016\/j.bpj.2015.12.005","article-title":"Strongly Accelerated Margination of Active Particles in Blood Flow","volume":"110","author":"S. Gekle","year":"2016","journal-title":"Biophys J"},{"key":"pone.0295789.ref093","doi-asserted-by":"crossref","first-page":"061924","DOI":"10.1103\/PhysRevE.83.061924","article-title":"Shear-induced platelet margination in a microchannel","volume":"83","author":"H Zhao","year":"2011","journal-title":"Phys Rev E"},{"key":"pone.0295789.ref094","doi-asserted-by":"crossref","DOI":"10.1063\/1.3677935","article-title":"Shear-induced particle migration and margination in a cellular suspension","volume":"24","author":"H Zhao","year":"2012","journal-title":"Phys Fluids"},{"key":"pone.0295789.ref095","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1017\/jfm.2013.592","article-title":"Flow-induced segregation in confined multicomponent suspensions: Effects of particle size and rigidity","volume":"738","author":"A Kumar","year":"2014","journal-title":"J Fluid Mech"},{"key":"pone.0295789.ref096","article-title":"Stiffness Dependent Separation of Cells in a Microfluidic Device","volume":"8","author":"G Wang","year":"2013","journal-title":"PLoS One"},{"key":"pone.0295789.ref097","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1007\/s10439-012-0648-7","article-title":"Determination of critical parameters in platelet margination","volume":"41","author":"DA Reasor","year":"2013","journal-title":"Ann Biomed Eng"},{"key":"pone.0295789.ref098","doi-asserted-by":"crossref","first-page":"2097","DOI":"10.1039\/C4SM02686A","article-title":"Microparticle shape effects on margination, near-wall dynamics and adhesion in a three-dimensional simulation of red blood cell suspension","volume":"11","author":"K Vahidkhah","year":"2015","journal-title":"Soft Matter"},{"key":"pone.0295789.ref099","doi-asserted-by":"crossref","first-page":"2529","DOI":"10.1016\/j.bpj.2014.04.028","article-title":"Platelet dynamics in three-dimensional simulation of whole blood","volume":"106","author":"K Vahidkhah","year":"2014","journal-title":"Biophys J"},{"key":"pone.0295789.ref100","doi-asserted-by":"crossref","first-page":"1392","DOI":"10.1016\/j.biomaterials.2009.11.007","article-title":"Potential role of size and hemodynamics in the efficacy of vascular-targeted spherical drug carriers","volume":"31","author":"P Charoenphol","year":"2010","journal-title":"Biomaterials"},{"key":"pone.0295789.ref101","doi-asserted-by":"crossref","DOI":"10.3390\/bioengineering9110708","article-title":"Influence of Rigid\u2013Elastic Artery Wall of Carotid and Coronary Stenosis on Hemodynamics","volume":"9","author":"M Albadawi","year":"2022","journal-title":"Bioengineering"}],"container-title":["PLOS ONE"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pone.0295789","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,14]],"date-time":"2023-12-14T18:34:24Z","timestamp":1702578864000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pone.0295789"}},"subtitle":[],"editor":[{"given":"Muhammad","family":"Shakaib","sequence":"first","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2023,12,14]]},"references-count":101,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2023,12,14]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pone.0295789","relation":{},"ISSN":["1932-6203"],"issn-type":[{"value":"1932-6203","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12,14]]}}}