Skip to main content
Erschienen in: International Journal of Computer Assisted Radiology and Surgery 3/2024

03.10.2023 | Original Article

Rib region detection for scanning path planning for fully automated robotic abdominal ultrasonography

verfasst von: Koudai Okuzaki, Norihiro Koizumi, Kiyoshi Yoshinaka, Yu Nishiyama, Jiayi Zhou, Ryosuke Tsumura

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 3/2024

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Purpose

Scanning path planning is an essential technology for fully automated ultrasound (US) robotics. During biliary scanning, the subcostal boundary is critical body surface landmarks for scanning path planning but are often invisible, depending on the individual. This study developed a method of estimating the rib region for scanning path planning toward fully automated robotic US systems.

Methods

We proposed a method for determining the rib region using RGB-D images and respiratory variation. We hypothesized that detecting the rib region would be possible based on changes in body surface position due to breathing. We generated a depth difference image by finding the difference between the depth image taken at the resting inspiratory position and the depth image taken at the maximum inspiratory position, which clearly shows the rib region. The boundary position of the subcostal was then determined by applying training using the YOLOv5 object detection model to this depth difference image.

Results

In the experiments with healthy subjects, the proposed method of rib detection using the depth difference image marked an intersection over union (IoU) of 0.951 and average confidence of 0.77. The average error between the ground truth and predicted positions was 16.5 mm in 3D space. The results were superior to rib detection using only the RGB image.

Conclusion

The proposed depth difference imaging method, which measures respiratory variation, was able to accurately estimate the rib region without contact and physician intervention. It will be useful for planning the scan path during the biliary imaging.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
3.
Zurück zum Zitat Koizumi N, Warisawa SI, Nagoshi M, Hashizume H, Mitsuishi M (2009) Construction methodology for a remote ultrasound diagnostic system. IEEE Trans Robot 25:522–538CrossRef Koizumi N, Warisawa SI, Nagoshi M, Hashizume H, Mitsuishi M (2009) Construction methodology for a remote ultrasound diagnostic system. IEEE Trans Robot 25:522–538CrossRef
4.
Zurück zum Zitat Zhou J, Koizumi N, Nishiyama Y, Kogiso K, Ishikawa T, Kobayashi K, Watanabe Y, Fujibayashi T, Yamada M, Matsuyama M, Tsukihara H, Tsumura R, Yoshinaka K, Matsumoto N, Ogawa M, Miyazaki H, Numata K, Nagaoka H, Iwai T, Iijima H (2022) A VS ultrasound diagnostic system with kidney image evaluation functions. Int J Comput Assist Radiol Surg 18:227–246. https://doi.org/10.1007/s11548-022-02759-0CrossRefPubMed Zhou J, Koizumi N, Nishiyama Y, Kogiso K, Ishikawa T, Kobayashi K, Watanabe Y, Fujibayashi T, Yamada M, Matsuyama M, Tsukihara H, Tsumura R, Yoshinaka K, Matsumoto N, Ogawa M, Miyazaki H, Numata K, Nagaoka H, Iwai T, Iijima H (2022) A VS ultrasound diagnostic system with kidney image evaluation functions. Int J Comput Assist Radiol Surg 18:227–246. https://​doi.​org/​10.​1007/​s11548-022-02759-0CrossRefPubMed
5.
Zurück zum Zitat Mustafa AS, Ishii T, Matsunaga Y, Nakadate R, Ishii H, Ogawa K, Saito A, Sugawara M, Niki K, Takanishi A (2013) Development of robotic system for autonomous liver screening using ultrasound scanning device. In: 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp 804–809. https://doi.org/10.1109/ROBIO.2013.6739561 Mustafa AS, Ishii T, Matsunaga Y, Nakadate R, Ishii H, Ogawa K, Saito A, Sugawara M, Niki K, Takanishi A (2013) Development of robotic system for autonomous liver screening using ultrasound scanning device. In: 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp 804–809. https://​doi.​org/​10.​1109/​ROBIO.​2013.​6739561
12.
Zurück zum Zitat Virga S, Zettinig O, Esposito M, Pfister K, Frisch B, Neff T, Navab N, Hennersperger C (2016) Automatic force-compliant robotic ultrasound screening of abdominal aortic aneurysms. In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp 508–513. https://doi.org/10.1109/IROS.2016.7759101 Virga S, Zettinig O, Esposito M, Pfister K, Frisch B, Neff T, Navab N, Hennersperger C (2016) Automatic force-compliant robotic ultrasound screening of abdominal aortic aneurysms. In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp 508–513. https://​doi.​org/​10.​1109/​IROS.​2016.​7759101
16.
Zurück zum Zitat George Y, Aldeen M, Garnavi R (2019) Automatic nipple detection method for digital skin images with psoriasis lesions. In: 2019 Digital Image Computing: Techniques and Applications (DICTA), pp 1–8 George Y, Aldeen M, Garnavi R (2019) Automatic nipple detection method for digital skin images with psoriasis lesions. In: 2019 Digital Image Computing: Techniques and Applications (DICTA), pp 1–8
Metadaten
Titel
Rib region detection for scanning path planning for fully automated robotic abdominal ultrasonography
verfasst von
Koudai Okuzaki
Norihiro Koizumi
Kiyoshi Yoshinaka
Yu Nishiyama
Jiayi Zhou
Ryosuke Tsumura
Publikationsdatum
03.10.2023
Verlag
Springer International Publishing
Erschienen in
International Journal of Computer Assisted Radiology and Surgery / Ausgabe 3/2024
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-023-03019-5

Weitere Artikel der Ausgabe 3/2024

International Journal of Computer Assisted Radiology and Surgery 3/2024 Zur Ausgabe

Premium Partner