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International Journal of Computer Assisted Radiology and Surgery

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Open Access 01-03-2020 | Original Article

Automated measurement of bone scan index from a whole-body bone scintigram

Authors: Akinobu Shimizu, Hayato Wakabayashi, Takumi Kanamori, Atsushi Saito, Kazuhiro Nishikawa, Hiromitsu Daisaki, Shigeaki Higashiyama, Joji Kawabe

Published in: International Journal of Computer Assisted Radiology and Surgery | Issue 3/2020

Abstract

Purpose

We propose a deep learning-based image interpretation system for skeleton segmentation and extraction of hot spots of bone metastatic lesion from a whole-body bone scintigram followed by automated measurement of a bone scan index (BSI), which will be clinically useful.

Methods

The proposed system employs butterfly-type networks (BtrflyNets) for skeleton segmentation and extraction of hot spots of bone metastatic lesions, in which a pair of anterior and posterior images are processed simultaneously. BSI is then measured using the segmented bones and extracted hot spots. To further improve the networks, deep supervision (DSV) and residual learning technologies were introduced.

Results

We evaluated the performance of the proposed system using 246 bone scintigrams of prostate cancer in terms of accuracy of skeleton segmentation, hot spot extraction, and BSI measurement, as well as computational cost. In a threefold cross-validation experiment, the best performance was achieved by BtrflyNet with DSV for skeleton segmentation and BtrflyNet with residual blocks. The cross-correlation between the measured and true BSI was 0.9337, and the computational time for a case was 112.0 s.

Conclusion

We proposed a deep learning-based BSI measurement system for a whole-body bone scintigram and proved its effectiveness by threefold cross-validation study using 246 whole-body bone scintigrams. The automatically measured BSI and computational time for a case are deemed clinically acceptable and reliable.

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Title: Automated measurement of bone scan index from a whole-body bone scintigram
Authors: Akinobu Shimizu
Hayato Wakabayashi
Takumi Kanamori
Atsushi Saito
Kazuhiro Nishikawa
Hiromitsu Daisaki
Shigeaki Higashiyama
Joji Kawabe
Publication date: 01-03-2020
Publisher: Springer International Publishing
Published in: International Journal of Computer Assisted Radiology and Surgery / Issue 3/2020
Print ISSN: 1861-6410
Electronic ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-019-02105-x

At a glance: The STEP trials

Springer Medicine

Automated measurement of bone scan index from a whole-body bone scintigram

Abstract

Purpose

Methods

Results

Conclusion

At a glance: The STEP trials

Springer Medicine

Abstract

Purpose

Methods

Results

Conclusion

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