http://www.cnr.it/ontology/cnr/individuo/prodotto/ID325558
A novel fully automatic algorithm for accurate vertebral morphometry (Contributo in atti di convegno)
- Type
- Label
- A novel fully automatic algorithm for accurate vertebral morphometry (Contributo in atti di convegno) (literal)
- Anno
- 2014-01-01T00:00:00+01:00 (literal)
- Alternative label
R.Franchini, F. Conversano, E. Casciaro, E. Quarta, A. Grimaldi, M. Muratore and S. Casciaro (2014)
A novel fully automatic algorithm for accurate vertebral morphometry
in 3rd Imeko TC13 Symposium on Measurements in Biology and Medicine "New Frontiers in Biomedical Measurements", Lecce, Italy, 17-18 Aprile 2014
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- R.Franchini, F. Conversano, E. Casciaro, E. Quarta, A. Grimaldi, M. Muratore and S. Casciaro (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- Proceedings of the 3rd Imeko TC13 Symposium on Measurements in Biology and Medicine \"New Frontiers in Biomedical Measurements\" (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- National Research Council, Institute of Clinical Physiology, Lecce, Italy; O.U. of Rheumatology, \"Galateo\" Hospital, San Cesario di Lecce, ASL-LE, Lecce, Italy. (literal)
- Titolo
- A novel fully automatic algorithm for accurate vertebral morphometry (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-92-990073-5-8 (literal)
- Abstract
- Vertebral morphometry is a common
clinically-used method for vertebral fracture detection and
classification, based on height measurements of vertebral
bodies in radiographic images. This method is quantitative
and does not require specific operator skills, but its actual
accuracy is affected by errors made during the timeconsuming
manual or semi-automatic measurements. In this
paper, we propose an innovative fully automatic approach to
vertebral morphometry. A novel algorithm, based on a local
phase symmetry measure and an \"Active Shape Model\",
was implemented and tested on lateral X-ray radiographs of
50 patients. Thoracic and lumbar vertebral bodies in each
image were independently segmented and measured by both
the automatic algorithm and an experienced radiologist,
whose manually-obtained results were assumed as the
ground truth. The algorithm showed reasonably low error
rates regarding both vertebral localization and morphometric
measurements with a sensitivity of 86.5% and a perfect
specificity of 100%, because no false positive were present.
Furthermore, its performance did not appreciably worsen on
poor quality images, emphasizing a significant potential for
a prompt translation into clinical routine. (literal)
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