A computer-assisted system for diagnostic workstations: automated bone labeling for CT images.
J Digit Imaging
; 22(6): 689-95, 2009 Dec.
Article
en En
| MEDLINE
| ID: mdl-18941839
ABSTRACT
Although accurate information on thoracolumbar bone structure is essential when computed tomography (CT) images are examined, there is no automated method of labeling all the vertebrae and ribs on a CT scan. We are developing a computer-aided diagnosis system that labels ribs and thoracolumbar vertebrae automatically and have evaluated its accuracy. A candidate bone was extracted from the CT image volume data by pixel thresholding and connectivity analysis. All non-bony anatomical structures were removed using a linear discriminate of distribution of CT values and anatomical characteristics. The vertebrae were separated from the ribs on the basis of their distances from the centers of the vertebral bodies. Finally, the thoracic cage and lumbar vertebrae were extracted, and each vertebra was labeled with its own anatomical number by histogram analysis along the craniocaudal midline. The ribs were labeled in a similar manner, based on location data. Twenty-three cases were used for accuracy comparison between our method and the radiologist's. The automated labeling of the thoracolumbar vertebrae was concordant with the judgments of the radiologist in all cases, and all but the first and second ribs were labeled correctly. These two ribs were frequently misidentified, presumably because of pericostal anatomical clutter or high densities of contrast material in the injected veins. We are confident that this system can contribute usefully as part of a picture archiving and communication system workstation, though further technical improvement is required for identification of the upper ribs.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Huesos
/
Reconocimiento de Normas Patrones Automatizadas
/
Interpretación de Imagen Radiográfica Asistida por Computador
/
Tomografía Computarizada por Rayos X
/
Imagenología Tridimensional
/
Terminología como Asunto
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
Límite:
Aged
/
Aged80
/
Female
/
Humans
/
Male
/
Middle aged
País/Región como asunto:
Asia
Idioma:
En
Revista:
J Digit Imaging
Asunto de la revista:
DIAGNOSTICO POR IMAGEM
/
INFORMATICA MEDICA
/
RADIOLOGIA
Año:
2009
Tipo del documento:
Article
País de afiliación:
Japón