Semiautomated analysis of carotid artery wall thickness in MRI

Author:

Saba Luca1,Gao Hao2,Raz Eytan3,Sree S. Vinitha4,Mannelli Lorenzo5,Tallapally Niranjan6,Molinari Filippo7,Bassareo Pier Paolo8,Acharya U. Rajendra9,Poppert Holger10,Suri Jasjit S.11

Affiliation:

1. Department of Radiology; Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato; Cagliari Italy

2. Centre for Excellence in Signal and Image Processing; Department of Electronic and Electrical, University of Strathclyde; Strathclyde UK

3. Department of Radiology; New York University School of Medicine; New York New York USA

4. Visiting Scientist; Global Biomedical Technologies; Roseville California USA

5. University of Washington; Seattle Washington USA

6. 27558 Kingsgate Way Farmington Hills Michigan USA

7. Biolab, Department of Electronics; Politecnico di Torino; Torino Italy

8. Department of Cardiology; Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato; Cagliari Italy

9. Department of ECE; Ngee Ann Polytechnic; Singapore

10. Neurologische Klinik und Poliklinik Technische Universität München; München Germany

11. Diagnostic and Monitoring Division, AtheroPoint LLC, Roseville, California, and Department of Biomedical Engineering, Idaho State University (Aff.); Pocatello Idaho USA

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

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