Titre du document / Document title

Validation of phalanx bone three-dimensional surface segmentation from computed tomography images using laser scanning

Auteur(s) / Author(s)

DEVRIES Nicole A. ⁽¹⁾ ; GASSMAN Esther E. ⁽¹⁾ ; KALLEMEYN Nicole A. ⁽¹⁾ ; SHIVANNA Kiran H. ⁽²⁾ ; MAGNOTTA Vincent A. ^{(1 3)} ; GROSLAND Nicole M. ^{(4 5)} ;

Affiliation(s) du ou des auteurs / Author(s) Affiliation(s)

⁽¹⁾ Department of Biomedical Engineering, Center for Computer Aided Design, The University of Iowa, Iowa City, IA 52242, ETATS-UNIS
⁽²⁾ Center for Computer Aided Design, The University of Iowa, Iowa City, IA 52242, ETATS-UNIS
⁽³⁾ Department of Radiology, Center for Computer Aided Design, The University of Iowa, Iowa City, IA 52242, ETATS-UNIS
⁽⁴⁾ Department of Biomedical Engineering, Center for Computer Aided Design, The University of Iowa, 1418 Seamans Center, Iowa City, IA 52242, ETATS-UNIS
⁽⁵⁾ Department of Orthopaedics and Rehabilitation, Center for Computer Aided Design, The University of Iowa, 1418 Seamans Center, Iowa City, IA 52242, ETATS-UNIS

Résumé / Abstract

Objective To examine the validity of manually defined bony regions of interest from computed tomography (CT) scans. Materials and methods Segmentation measurements were performed on the coronal reformatted CT images of the three phalanx bones of the index finger from five cadaveric specimens. Two smoothing algorithms (image-based and Laplacian surface-based) were evaluated to determine their ability to represent accurately the anatomic surface. The resulting surfaces were compared with laser surface scans of the corresponding cadaveric specimen. Results The average relative overlap between two tracers was 0.91 for all bones. The overall mean difference between the manual unsmoothed surface and the laser surface scan was 0.20 mm. Both image-based and Laplacian surface-based smoothing were compared; the overall mean difference for image-based smoothing was 0.21 mm and 0.20 mm for Laplacian smoothing. Conclusions This study showed that manual segmentation of high-contrast, coronal, reformatted, CT datasets can accurately represent the true surface geometry of bones. Additionally, smoothing techniques did not significantly alter the surface representations. This validation technique should be extended to other bones, image segmentation and spatial filtering techniques.

Revue / Journal Title

Skeletal radiology   ISSN 0364-2348   CODEN SKRADI 

Source / Source

2008, vol. 37, n^o1, pp. 35-42 [8 page(s) (article)] (27 ref.)

Langue / Language

Anglais

Editeur / Publisher

Springer, Berlin, ALLEMAGNE  (1976) (Revue)

Mots-clés anglais / English Keywords

Radiodiagnosis ; Medical imagery ; Technique ; Human ; Segmentation ; Standards ; Bone ; Phalanx ; Tridimensional image ; Computerized axial tomography ;

Mots-clés français / French Keywords

Radiodiagnostic ; Imagerie médicale ; Technique ; Homme ; Segmentation ; Norme ; Os ; Phalange ; Image tridimensionnelle ; Tomodensitométrie ;

Mots-clés espagnols / Spanish Keywords

Radiodiagnóstico ; Imaginería médica ; Técnica ; Hombre ; Segmentación ; Norma ; Hueso ; Falange ; Imagen tridimensional ; Tomodensitometría ;

Mots-clés d'auteur / Author Keywords

Image segmentation ; Validation, Gold standard ;

Localisation / Location

INIST-CNRS, Cote INIST : 17152, 35400016188246.0050