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CT-based Automated Preoperative Planning of Acetabular Cup Size and Position using Pelvis-cup Integrated Statistical Shape Model

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Itaru Otomaru
Itaru Otomaru

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TechnologyHealth & Medicine
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CT-based automated preoperative planning of acetabular cup size and position using pelvis cup integrated statistical shape model Itaru OTOMARU a ， Kazuto Kobayashi a ， Toshiyuki OKADA b ， Masahiko NAKAMOTO b ， Masaki TAKAO b ， Nobuhiko SUGANO b ， Yukio TADA a and Yoshinobu SATO b a Graduate School of Engineering, Kobe University b Graduate School of Medicine, Osaka University
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],Surgical CAD/CAM Image acquisition CAD CAM Therefore, the quality of preoperative planning is becoming more critical. Preoperative planning Intraoperative assistance
[object Object],[object Object],Atlas-based closed-loop surgery Image acquisition Statistical Surgical Atlas Statistical Analysis Patient’s data Pre-op plans Surgical log Intra-op data Atlas based preoperative planning Preoperative planning Intraoperative assistance Database of 3D/4D Patient & Surgical Data
Objective ,[object Object],[object Object],[object Object]
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Cup planning of mildly and severely diseased pelvises: Our problem Mildly diseased case Severely diseased case ,[object Object]
Pelvis-cup statistical shape model (PC-SSM) ,[object Object],Pelvis-cup statistical shape model Training datasets Principal component analysis
Pelvis-cup statistical shape model (PC-SSM) ,[object Object],Pelvis-cup statistical shape model Training datasets Principal component analysis
Automated planning procedure ,[object Object],White: Patient’s pelvis Yellow: Pelvis part of statistical atlas Red: Cup part of statistical atlas
Automated planning procedure ,[object Object],White: Patient’s pelvis Yellow: Pelvis part of statistical atlas Red: Cup part of statistical atlas
Automated planning procedure ,[object Object],White: Patient’s pelvis Yellow: Pelvis part of statistical atlas Red: Cup part of statistical atlas
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Conditions ,[object Object],[object Object],[object Object],[object Object]
Results ,[object Object],[object Object],[object Object],Mean size error was smaller in the proposed method. However, cup penetration occurred in four cases.
Results of illustrative case ,[object Object],Previous Proposed Surgeon’s Size 58 Size 50 Size 50
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Discussions ,[object Object],Statistically derived constraints could be successfully incorporated and are shown to be useful. ,[object Object],To avoid the penetration, we will add the constraints based on residual bone thickness between pelvis and cup.
[object Object],[object Object],Future direction Femur-stem combined statistical atlas
Thank you for your attention This research was supported in part by Stryker Japan K. K. and Biovisiq Japan, Inc.

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CT-based Automated Preoperative Planning of Acetabular Cup Size and Position using Pelvis-cup Integrated Statistical Shape Model

  • 1. CT-based automated preoperative planning of acetabular cup size and position using pelvis cup integrated statistical shape model Itaru OTOMARU a ， Kazuto Kobayashi a ， Toshiyuki OKADA b ， Masahiko NAKAMOTO b ， Masaki TAKAO b ， Nobuhiko SUGANO b ， Yukio TADA a and Yoshinobu SATO b a Graduate School of Engineering, Kobe University b Graduate School of Medicine, Osaka University
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  • 21. Thank you for your attention This research was supported in part by Stryker Japan K. K. and Biovisiq Japan, Inc.