Share Email Print
cover

Proceedings Paper

Three-dimensional visual truth of the normal airway tree for use as a quantitative comparison to micro-CT reconstructions
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Mouse models are important for pulmonary research to gain insight into structure and function in normal and diseased states, thereby extending knowledge of human disease conditions. The flexibility of human disease induction into mice, due to their similar genome, along with their short gestation cycle makes mouse models highly suitable as investigative tools. Advancements in non-invasive imaging technology, with the development of micro-computed tomography (μ-CT), have aided representation of disease states in these small pulmonary system models. The generation ofμCT 3D airway reconstructions has to date provided a means to examine structural changes associated with disease. The degree of accuracy ofμCT is uncertain. Consequently, the reliability of quantitative measurements is questionable. We have developed a method of sectioning and imaging the whole mouse lung using the Large Image Microscope Array (LIMA) as the gold standard for comparison. Fixed normal mouse lungs were embedded in agarose and 250μm sections of tissue were removed while the remaining tissue block was imaged with a stereomicroscope. A complete dataset of the mouse lung was acquired in this fashion. Following planar image registration, the airways were manually segmented using an in-house built software program PASS. Amira was then used render the 3D isosurface from the segmentations. The resulting 3D model of the normal mouse airway tree developed from pathology images was then quantitatively assessed and used as the standard to compare the accuracy of structural measurements obtained from μ-CT.

Paper Details

Date Published: 14 April 2005
PDF: 8 pages
Proc. SPIE 5746, Medical Imaging 2005: Physiology, Function, and Structure from Medical Images, (14 April 2005); doi: 10.1117/12.596806
Show Author Affiliations
Jacqueline Thiesse, Univ. of Iowa (United States)
Joseph M. Reinhardt, Univ. of Iowa (United States)
Jessica de Ryk, Univ. of Iowa (United States)
Eman Namati, Univ. of Iowa (United States)
Jessica Leinen, Univ. of Iowa (United States)
Wolfgang A. Recheis, Univ. of Iowa (United States)
Eric A. Hoffman, Univ. of Iowa (United States)
Geoffrey McLennan, Univ. of Iowa (United States)


Published in SPIE Proceedings Vol. 5746:
Medical Imaging 2005: Physiology, Function, and Structure from Medical Images
Amir A. Amini; Armando Manduca, Editor(s)

© SPIE. Terms of Use
Back to Top