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International Journal of Computer Assisted Radiology and Surgery

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30.11.2016 | Original Article

Landmark-guided diffeomorphic demons algorithm and its application to automatic segmentation of the whole spine and pelvis in CT images

verfasst von: Shouhei Hanaoka, Yoshitaka Masutani, Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo, Akinobu Shimizu

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 3/2017

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Abstract

Purpose

A fully automatic multiatlas-based method for segmentation of the spine and pelvis in a torso CT volume is proposed. A novel landmark-guided diffeomorphic demons algorithm is used to register a given CT image to multiple atlas volumes. This algorithm can utilize both grayscale image information and given landmark coordinate information optimally.

Methods

The segmentation has four steps. Firstly, 170 bony landmarks are detected in the given volume. Using these landmark positions, an atlas selection procedure is performed to reduce the computational cost of the following registration. Then the chosen atlas volumes are registered to the given CT image. Finally, voxelwise label voting is performed to determine the final segmentation result.

Results

The proposed method was evaluated using 50 torso CT datasets as well as the public SpineWeb dataset. As a result, a mean distance error of \(0.59\pm 0.14\hbox { mm}\) and a mean Dice coefficient of \(0.90\pm 0.02\) were achieved for the whole spine and the pelvic bones, which are competitive with other state-of-the-art methods.

Conclusion

From the experimental results, the usefulness of the proposed segmentation method was validated.

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Titel: Landmark-guided diffeomorphic demons algorithm and its application to automatic segmentation of the whole spine and pelvis in CT images
verfasst von: Shouhei Hanaoka
Yoshitaka Masutani
Mitsutaka Nemoto
Yukihiro Nomura
Soichiro Miki
Takeharu Yoshikawa
Naoto Hayashi
Kuni Ohtomo
Akinobu Shimizu
Publikationsdatum: 30.11.2016
Verlag: Springer International Publishing
Erschienen in: International Journal of Computer Assisted Radiology and Surgery / Ausgabe 3/2017
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-016-1507-z

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Landmark-guided diffeomorphic demons algorithm and its application to automatic segmentation of the whole spine and pelvis in CT images

Abstract

Purpose

Methods

Results

Conclusion

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Live-Webinar: Aktuelle Leitlinien bei Herz-Kreislauf-Erkrankungen

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Abstract

Purpose

Methods

Results

Conclusion

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