Automated 3D Acetabular Cup planning in Total Hip Arthroplasty Based on Expertise Modeling using Statistical Shape Model

• Otomaru Itaru

  Graduate School of Engineering, Kobe University.

• Nakamoto Masahiko

  Dpt. of Radiology, Osaka University Graduate School of Medicine.

• Okada Toshiyuki

  Dpt. of Radiology, Osaka University Graduate School of Medicine.

• Takao Masaki

  Dpt. of Orthopedic Surgery, Osaka University Graduate School of Medicine.

• Sugano Nobuhiko

  Dpt. of Orthopedic Medical Engineering, Osaka University Graduate School of Medicine.

• Tada Yukio

  Graduate School of System Informatics, Kobe University.

• Tomiyama Noriyuki

  Dpt. of Radiology, Osaka University Graduate School of Medicine.

• Sato Yoshinobu

  Dpt. of Radiology, Osaka University Graduate School of Medicine.

Bibliographic Information

Other Title

• 統計形状モデルを用いた専門医知識のモデリングに基づく人工股関節全置換術における臼蓋カップ三次元手術計画の自動立案
• トウケイ ケイジョウ モデル オ モチイタ センモンイ チシキ ノ モデリング ニ モトズク ジンコウ コ カンセツ ゼン チカンジュツ ニ オケル キュウブタ カップ サンジゲン シュジュツ ケイカク ノ ジドウ リツアン

Abstract

This paper describes an automated 3D acetabular cup planning method in total hip arthroplasty. A number of past preoperative plans prepared by experienced surgeons and used for actual computer navigated surgery are utilized to model surgeon’s expertise of surgical planning. We construct “pelvis-cup merged statistical shape model (PC-SSM)” by applying principal component analysis to mergers of cup shape and pelvis shape. The cup shape has size, position, and orientation planned by experienced surgeon. The PC-SSM is fitted to the patient pelvis to automatically generate the preoperative plan. According to the performance evaluation, cup size errors between the proposed method and the experienced surgeon’s plans were within one size in 34 cases out of 38 cases. Since the PC-SSM is automatically constructed from training datasets while the previous method based on a manual definition of criteria, we consider the proposed method may be useful for quantitative evaluation of surgeons’ trends for cup planning as well as for automated planning. As a remaining problem, the performance in severely diseased pelvis is needed to be improved.

Journal

• Journal of Japan Society of Computer Aided Surgery

  Journal of Japan Society of Computer Aided Surgery 14 (1), 27-37, 2012

  The Japan Society of Computer Aided Surgery

Keywords

• Statistical atlas
• Pelvis implant
• Performance evaluation
• Surgeon’s expertise
• 3D-CT images

Details

• CRID: 1390001205509959808
• NII Article ID: 10030613876
• NII Book ID: AN1044100X
• DOI: 10.5759/jscas.14.27
• ISSN: 18845770
• ISSN: 13449486
• NDL BIB ID: 023838687
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I023838687
• Web Site: https://www.jstage.jst.go.jp/article/jscas/14/1/14_27/_pdf
• Web Site: https://search.jamas.or.jp/link/ui/2012313848
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed