title: OVERVIEW OF A DIGITAL TOMOSYNTHESIS DEVELOPMENT: NEW APPROACHES FOR LOW-DOSE CHEST IMAGING.
abstract: Lung cancer has the highest mortality rate among all cancer types, and it has especially high occurrence in Hungary. Low-dose computed tomography (LDCT) has been proved to be a beneficial screening method for lung cancer, decreasing the mortality rate by 20 %. Because of the intensifying fears from X-ray radiation, there is a need to develop other modalities that might work with less radiation and have similar sensitivity in lung nodule finding. Digital tomosynthesis (DTS) may be such a modality that can be a real alternative to LDCT. The goal of this article is to summarise the first results of a Hungarian project for developing a DTS system extended with a computer-aided detection system. It describes the main approaches applied and the main benefits of using DTS based on the first clinical examinations.
authors.affiliation: Innomed Medical, Inc., Szabó József u. 12, Budapest, Hungary akos.horvath@yahoo.co.uk.
authors.forename: Ákos
authors.initials: Á
authors.lastname: Horváth
authors.affiliation: Innomed Medical, Inc., Szabó József u. 12, Budapest, Hungary.
authors.forename: Péter
authors.initials: P
authors.lastname: Wolf
authors.affiliation: Innomed Medical, Inc., Szabó József u. 12, Budapest, Hungary.
authors.forename: János
authors.initials: J
authors.lastname: Nagy
authors.affiliation: Innomed Medical, Inc., Szabó József u. 12, Budapest, Hungary.
authors.forename: Attila
authors.initials: A
authors.lastname: Kelemen
authors.affiliation: Department of Measurement and Information Systems, Budapest University of Technology and Economics, Magyar tudósok krt. 2, Budapest, Hungary.
authors.forename: Gábor
authors.initials: G
authors.lastname: Horváth
authors.affiliation: Department of Measurement and Information Systems, Budapest University of Technology and Economics, Magyar tudósok krt. 2, Budapest, Hungary.
authors.forename: Dániel
authors.initials: D
authors.lastname: Hadházi
authors.affiliation: Department of Measurement and Information Systems, Budapest University of Technology and Economics, Magyar tudósok krt. 2, Budapest, Hungary.
authors.forename: Áron
authors.initials: Á
authors.lastname: Horváth
authors.affiliation: Department of Measurement and Information Systems, Budapest University of Technology and Economics, Magyar tudósok krt. 2, Budapest, Hungary.
authors.forename: Benjámin
authors.initials: B
authors.lastname: Czétényi
authors.affiliation: Department of Pulmonology, Semmelweis University, Diós árok út 1/C, Budapest, Hungary.
authors.forename: Zoltán
authors.initials: Z
authors.lastname: Süttő
authors.affiliation: Department of Pulmonology, Semmelweis University, Diós árok út 1/C, Budapest, Hungary.
authors.forename: Klára
authors.initials: K
authors.lastname: Szondy
mesh_terms: D000465:Algorithms; D003251:Constriction, Pathologic / Q000000981:diagnostic imaging; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005189:False Positive Reactions; D006801:Humans; D006814:Hungary; D008175:Lung Neoplasms / Q000000981:diagnostic imaging*; D011856:Radiographic Image Enhancement / Q000379:methods*; D013902:Radiography, Thoracic / Q000379:methods*; D012680:Sensitivity and Specificity; D013909:Thorax / Q000000981:diagnostic imaging; D014057:Tomography, X-Ray Computed / Q000379:methods*; D014965:X-Rays