title: Image processing assisted algorithms for optical projection tomography.
abstract: Since it was first presented in 2002, optical projection tomography (OPT) has emerged as a powerful tool for the study of biomedical specimen on the mm to cm scale. In this paper, we present computational tools to further improve OPT image acquisition and tomographic reconstruction. More specifically, these methods provide: semi-automatic and precise positioning of a sample at the axis of rotation and a fast and robust algorithm for determination of postalignment values throughout the specimen as compared to existing methods. These tools are easily integrated for use with current commercial OPT scanners and should also be possible to implement in "home made" or experimental setups for OPT imaging. They generally contribute to increase acquisition speed and quality of OPT data and thereby significantly simplify and improve a number of three-dimensional and quantitative OPT based assessments.
authors.affiliation: Umeå Centre for Molecular Medicine, Umeå University, S-901 87 Umeå, Sweden. cheddad@ucmm.umu.se
authors.forename: Abbas
authors.initials: A
authors.lastname: Cheddad
authors.forename: Christoffer
authors.initials: C
authors.lastname: Svensson
authors.forename: James
authors.initials: J
authors.lastname: Sharpe
authors.forename: Fredrik
authors.initials: F
authors.lastname: Georgsson
authors.forename: Ulf
authors.initials: U
authors.lastname: Ahlgren
mesh_terms: D000465:Algorithms; D000818:Animals; D016477:Artifacts; D005260:Female; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007328:Insulin / Q000737:chemistry; D007515:Islets of Langerhans / Q000378:metabolism; D051379:Mice; D008810:Mice, Inbred C57BL; D008962:Models, Theoretical; D019047:Phantoms, Imaging; D041622:Tomography, Optical / Q000379:methods*
chemical_list: D007328:Insulin