title: Automating the segmentation of medical images for the production of voxel tomographic computational models.
abstract: Radiation dosimetry for the diagnostic medical imaging procedures performed on humans requires anatomically accurate, computational models. These may be constructed from medical images as voxel-based tomographic models. However, they are time consuming to produce and as a consequence, there are few available. This paper discusses the emergence of semi-automatic segmentation techniques and describes an application (iRAD) written in Microsoft Visual Basic that allows the bitmap of a medical image to be segmented interactively and semi-automatically while displayed in Microsoft Excel. iRAD will decrease the time required to construct voxel models.
authors.affiliation: School of Nursing and Midwifery, Flinders University, Adelaide, SA, Australia. Martin.Caon@flinders.edu.au
authors.forename: M
authors.initials: M
authors.lastname: Caon
authors.forename: J
authors.initials: J
authors.lastname: Mohyla
mesh_terms: D003198:Computer Simulation; D006801:Humans; D007091:Image Processing, Computer-Assisted; D011829:Radiation Dosage; D011860:Radiography, Abdominal; D011874:Radiometry; D012984:Software; D014057:Tomography, X-Ray Computed