title: A computational framework to characterize and compare the geometry of coronary networks.
abstract: This work presents a computational framework to perform a systematic and comprehensive assessment of the morphometry of coronary arteries from in vivo medical images. The methodology embraces image segmentation, arterial vessel representation, characterization and comparison, data storage, and finally analysis. Validation is performed using a sample of 48 patients. Data mining of morphometric information of several coronary arteries is presented. Results agree to medical reports in terms of basic geometric and anatomical variables. Concerning geometric descriptors, inter-artery and intra-artery correlations are studied. Data reported here can be useful for the construction and setup of blood flow models of the coronary circulation. Finally, as an application example, similarity criterion to assess vasculature likelihood based on geometric features is presented and used to test geometric similarity among sibling patients. Results indicate that likelihood, measured through geometric descriptors, is stronger between siblings compared with non-relative patients. Copyright © 2016 John Wiley & Sons, Ltd.
authors.affiliation: National Laboratory for Scientific Computing, LNCC/MCTI, Av. Getúlio Vargas 333, Quitandinha, Petrópolis, 25651-075, Brazil.|National Institute of Science and Technology in Medicine Assisted by Scientific Computing, INCT-MACC, Petrópolis, Brazil.
authors.forename: C A
authors.identifier: 0000-0003-0911-7849
authors.initials: CA
authors.lastname: Bulant
authors.affiliation: National Laboratory for Scientific Computing, LNCC/MCTI, Av. Getúlio Vargas 333, Quitandinha, Petrópolis, 25651-075, Brazil.|National Institute of Science and Technology in Medicine Assisted by Scientific Computing, INCT-MACC, Petrópolis, Brazil.
authors.forename: P J
authors.initials: PJ
authors.lastname: Blanco
authors.affiliation: Heart Institute, University of São Paulo Medical School, INCOR-FM-USP, Av. Dr. Eneas de Carvalho Aguiar, 44, 3rd floor, São Paulo-SP, 05403-000, Brazil.
authors.forename: T P
authors.initials: TP
authors.lastname: Lima
authors.affiliation: Heart Institute, University of São Paulo Medical School, INCOR-FM-USP, Av. Dr. Eneas de Carvalho Aguiar, 44, 3rd floor, São Paulo-SP, 05403-000, Brazil.
authors.forename: A N
authors.initials: AN
authors.lastname: Assunção
authors.affiliation: Heart Institute, University of São Paulo Medical School, INCOR-FM-USP, Av. Dr. Eneas de Carvalho Aguiar, 44, 3rd floor, São Paulo-SP, 05403-000, Brazil.
authors.forename: G
authors.initials: G
authors.lastname: Liberato
authors.affiliation: Heart Institute, University of São Paulo Medical School, INCOR-FM-USP, Av. Dr. Eneas de Carvalho Aguiar, 44, 3rd floor, São Paulo-SP, 05403-000, Brazil.
authors.forename: J R
authors.initials: JR
authors.lastname: Parga
authors.affiliation: Heart Institute, University of São Paulo Medical School, INCOR-FM-USP, Av. Dr. Eneas de Carvalho Aguiar, 44, 3rd floor, São Paulo-SP, 05403-000, Brazil.
authors.forename: L F R
authors.initials: LF
authors.lastname: Ávila
authors.affiliation: Heart Institute, University of São Paulo Medical School, INCOR-FM-USP, Av. Dr. Eneas de Carvalho Aguiar, 44, 3rd floor, São Paulo-SP, 05403-000, Brazil.
authors.forename: A C
authors.initials: AC
authors.lastname: Pereira
authors.affiliation: National Laboratory for Scientific Computing, LNCC/MCTI, Av. Getúlio Vargas 333, Quitandinha, Petrópolis, 25651-075, Brazil.|National Institute of Science and Technology in Medicine Assisted by Scientific Computing, INCT-MACC, Petrópolis, Brazil.
authors.forename: R A
authors.initials: RA
authors.lastname: Feijóo
authors.affiliation: Heart Institute, University of São Paulo Medical School, INCOR-FM-USP, Av. Dr. Eneas de Carvalho Aguiar, 44, 3rd floor, São Paulo-SP, 05403-000, Brazil.
authors.forename: P A
authors.initials: PA
authors.lastname: Lemos
mesh_terms: D003326:Coronary Circulation; D003331:Coronary Vessels / Q000033:anatomy & histology* / Q000000981:diagnostic imaging / Q000502:physiology; D005260:Female; D006801:Humans; D016013:Likelihood Functions; D008297:Male; D008875:Middle Aged; D035781:Siblings
keywords: arterial similarity; coronary arterial tree; coronary morphometry; geometric characterization