title: Computer Aided Detection and measurement of peripheral artery disease.
abstract: Computer-Aided Tomography Angiography (CTA) images are the standard for assessing Peripheral artery disease (PAD). This paper presents a Computer Aided Detection (CAD) and Computer Aided Measurement (CAM) system for PAD. The CAD stage detects the arterial network using a 3D region growing method and a fast 3D morphology operation. The CAM stage aims to accurately measure the artery diameters from the detected vessel centerline, compensating for the partial volume effect using Expectation Maximization (EM) and a Markov Random field (MRF). The system has been evaluated on phantom data and also applied to fifteen (15) CTA datasets, where the detection accuracy of stenosis was 88% and the measurement accuracy was with an 8% error.
authors.affiliation: Quantitative Medical Imaging International Institutes (QMI3), Faculty of Science, Engineering and Computing, United Kingdom.
authors.forename: Jamshid
authors.initials: J
authors.lastname: Dehmeshki
authors.affiliation: Quantitative Medical Imaging International Institutes (QMI3), Faculty of Science, Engineering and Computing, United Kingdom.
authors.forename: Adina
authors.initials: A
authors.lastname: Ion
authors.affiliation: Quantitative Medical Imaging International Institutes (QMI3), Faculty of Science, Engineering and Computing, United Kingdom.
authors.forename: Tim
authors.initials: T
authors.lastname: Ellis
authors.affiliation: Department of Radiology, University of Lausanne, Switzerland.
authors.forename: Francesco
authors.initials: F
authors.lastname: Doenz
authors.affiliation: Department of Radiology, University of Lausanne, Switzerland.
authors.forename: Anne-Marie
authors.initials: AM
authors.lastname: Jouannic
authors.affiliation: Department of Radiology, University of Lausanne, Switzerland.
authors.forename: Salah
authors.initials: S
authors.lastname: Qanadli
mesh_terms: D000465:Algorithms; D000792:Angiography / Q000379:methods*; D001185:Artificial Intelligence; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D058729:Peripheral Arterial Disease / Q000000981:diagnostic imaging*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods*