Detail publikace

Fully Automatic CAD System for Spine Localisation and Vertebra Segmentation in CT Data

Originální název

Fully Automatic CAD System for Spine Localisation and Vertebra Segmentation in CT Data

Anglický název

Fully Automatic CAD System for Spine Localisation and Vertebra Segmentation in CT Data

Jazyk

en

Originální abstrakt

In this paper, we describe a fully automatic CAD system for spine detection in CT data followed by vertebra identification and segmentation. There are several basic problems: spine detection including the determination of spinal axis in spinal CT data, a localisation of individual vertebrae and identification of their types (order in spine) in case of incomplete scans of spine and also the final vertebra segmentation. By a subjective strict expert validation, the algorithm provides 82.6% of fully correct vertebra segmentations. Based on that, it seems to be routinely usable and fully applicable in preparation for the following automatic spine bone lesion analysis.

Anglický abstrakt

In this paper, we describe a fully automatic CAD system for spine detection in CT data followed by vertebra identification and segmentation. There are several basic problems: spine detection including the determination of spinal axis in spinal CT data, a localisation of individual vertebrae and identification of their types (order in spine) in case of incomplete scans of spine and also the final vertebra segmentation. By a subjective strict expert validation, the algorithm provides 82.6% of fully correct vertebra segmentations. Based on that, it seems to be routinely usable and fully applicable in preparation for the following automatic spine bone lesion analysis.

BibTex


@inproceedings{BUT147824,
  author="Roman {Jakubíček} and Jiří {Chmelík} and Jiří {Jan} and Petr {Ouředníček} and Lukáš {Lambert} and Giampaolo {Gavelli}",
  title="Fully Automatic CAD System for Spine Localisation and Vertebra Segmentation in CT Data",
  annote="In this paper, we describe a fully automatic CAD system for spine detection in CT data followed by vertebra identification and segmentation. There are several basic problems: spine detection including the determination of spinal axis in spinal CT data, a localisation of individual vertebrae and identification of their types (order in spine) in case of incomplete scans of spine and also the final vertebra segmentation. By a subjective strict expert validation, the algorithm provides 82.6% of fully correct vertebra segmentations. Based on that, it seems to be routinely usable and fully applicable in preparation for the following automatic spine bone lesion analysis.",
  address="Springer",
  booktitle="World Congress on Medical Physics and Biomedical Engineering 2018",
  chapter="147824",
  doi="10.1007/978-981-10-9035-6_40",
  howpublished="print",
  institution="Springer",
  number="1",
  year="2018",
  month="may",
  pages="223--226",
  publisher="Springer",
  type="conference paper"
}