Automated vertebrae localization and identification by decision forests and image-based refinement on real-world CT data.

Journal: La Radiologia medica

Published Date: Sep 14, 2019

Abstract

PURPOSE: Development of a fully automatic algorithm for the automatic localization and identification of vertebral bodies in computed tomography (CT).

Authors

Ana Jimenez-Pastor

QUIBIM SL, Valencia, Spain. anajimenez@quibim.com.
Angel Alberich-Bayarri

QUIBIM SL, Valencia, Spain.
Belen Fos-Guarinos

QUIBIM SL, Valencia, Spain.
Fabio Garcia-Castro

QUIBIM SL, Valencia, Spain.
David Garcia-Juan

QUIBIM SL, Valencia, Spain.
Ben Glocker

Kheiron Medical Technologies, London, UK.
Luis Marti-Bonmati

QUIBIM SL, Valencia, Spain.

Keywords

Adult Aged Aged, 80 and over Algorithms Anatomic Landmarks Datasets as Topic Decision Trees Humans Machine Learning Middle Aged Multidetector Computed Tomography Retrospective Studies Spine Young Adult

External Resources

View on PubMed Access via DOI PubMed (31522345)

Automated vertebrae localization and identification by decision forests and image-based refinement on real-world CT data.

Abstract

Authors

Keywords

External Resources

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