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AutoImPlan : An Automated System for CT-based THA Planning - Planning Optimization Based on  Anatomical Compatibility and Joint Function - ○  Itaru OTOMARU a , Masahiko NAKAMOTO b ,  Masaki TAKAO c ,  Nobuhiko SUGANO c ,  Yoshiyuki KAGIYAMA d ,  Hideki YOSHIKAWA c ,  Yukio TADA a  and Yoshinobu SATO b a  Graduate School of Engineering, Kobe University b  Department of Radiology, Graduate School of Medicine, Osaka University c  Department of Orthopaedics, Osaka University Graduate School of Medicine d  The Center for Advanced Medical Engineering and Infomatics,  OsakaUniversity
AutoImPlan CAS System Automated  segmentation 3D CT images ,[object Object],Automated  Planning AutoImPlan
Advantages of “AutoImPlan” system ,[object Object],[object Object],[object Object],[object Object]
Advantages of “AutoImPlan” system ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],Overview of  the automated planning … Plan in each stem size … Step 1-B: Stem planning Step 1-A: Cup planning Possible candidates ,[object Object],[object Object],Step 2: Total planning … …
Cup planning ,[object Object],[object Object],[Kagiyama et al. CAOS 2004] Cup coverage ratio Teardrop line  displacement less or equal to 15 mm CE angle greater or equal to 10 deg.  Constraints Plans which satisfy  the constraints Covered  Not covered
Stem planning ,[object Object],[object Object],[object Object],[Nakamoto et al. MICCAI 2008] Learning datasets of surgeon’s plan Atlas of average  distace map Patient data Resulted plan Penetration Gap
Total planning Vertical optimization ,[object Object],[object Object],Limb length discrepancy (LLD) Optimization of  cup height and head offset Medial-lateral optimization Searching medial lateral position which ROM is over than 45 deg.  [Kagiyama et al. CARS 2006]
Experimental results (1) ,[object Object],[object Object],[object Object],[object Object],[object Object],Almost all results were accepted  in small adjustment by the surgeon.  Stem planning Cup planning Acceptable 31 cases 14 cases Acceptable in  small adjustment 10 cases 23 cases Rejected 1 case 4 cases
Experimental results (2) ,[object Object],[object Object],[object Object],Planning results of total planning LLD and ROM were approximately same as the surgeon’s plan.  Automated Surgeon Mean leg length  discrepancy (LLD) [mm] 1.8 2.5 Mean range of motion  (ROM) [deg.] 41.7 47.7
Summary of the automated planning  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Advantages of “AutoImPlan” system ,[object Object],[object Object],[object Object],[object Object]
Overview of the network based framework ,[object Object],[object Object],Hospital A Hospital B AutoImPlan server ,[object Object],[object Object],[object Object],[object Object],Internet
Overview of the web based preview ,[object Object],Planning visualization Evaluation data ROM simulation
Download the planning result ,[object Object],[object Object],Download Import
Summary of the network based framework ,[object Object],[object Object],[object Object]
Conclusion of the whole system ,[object Object],[object Object],[object Object],[object Object],“ AutoImPlan” would be effective to improve the preoperative  planning for total hip arthroplasty.
Thank you for your attention This research was supported in part by  Stryker Japan K. K. and Med-Solution, Inc.
 
Feature of the automated planning ,[object Object],[object Object]
Overview of the planning optimization system Segmented  3D pelvis and femur Stem planning Cup planning ROM simulation and LLD optimization WEB preview interface ,[object Object],[object Object]
WEB based preview system (3) ,[object Object],[object Object],Download Import
Experimental results ,[object Object],[object Object],[object Object],[object Object],[object Object],Stem planning Cup planning Acceptable 31 cases 14 cases Acceptable in  small adjustment 10 cases 23 cases Rejected 1 case 4 cases Automated Surgeon Mean leg length  discrepancy (LLD) [mm] 1.8 2.5 Mean range of motion  (ROM) [deg.] 41.7 47.7
Web based preview system (1) ,[object Object],[object Object],Penetration Gap ,[object Object],Stem planning Cup planning
Conclusion of the “AutoImPlan” system ,[object Object],[object Object],[object Object],[object Object],[object Object]
Advantages of the autotamed planning system ,[object Object],[object Object],[object Object]
Web based preview system (4) ,[object Object],Internal rotation at flexion 90 deg.  External rotation Flexion Extension
Advantages of the web based preview ,[object Object],[object Object],[object Object]
AutoImPlan ,[object Object],[object Object],Automated  Planning Web Preview Web Preview Automated  segmentation 3D CT images CAS System
Cup planning Maximization of  coverage ratio [Kagiyama et al. CAOS 2004] ,[object Object],[object Object],Cup-teardrop line  displacement CE angle Constraints less or equal to 15 mm greater or equal to 15 mm
Stem Planning Statistical Atlas ( Average distance map  between stem and medullary cavity ) Learning datasets of surgeon’s plan Mapping Resulted plan [Nakamoto et al. MICCAI 2008] ,[object Object],[object Object],Penetration Gap Patient data
Web based preview system (1) ,[object Object],[object Object],[object Object],Coverage/distance map on the implant
Web based preview system (2) ,[object Object],[object Object]
Upload the patient’s data ,[object Object],[object Object],DICOM images AutoImPlan Client Anonymized images Anonymize Zip Upload patientdata.zip Manual inputs

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人工股関節全置換術における統計アトラスに基づく手術計画自動立案 (神戸大学 大学院工学研究科 学位論文公聴会 2012.2.6)人工股関節全置換術における統計アトラスに基づく手術計画自動立案 (神戸大学 大学院工学研究科 学位論文公聴会 2012.2.6)
人工股関節全置換術における統計アトラスに基づく手術計画自動立案 (神戸大学 大学院工学研究科 学位論文公聴会 2012.2.6)
 
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人工股関節全置換術における統計アトラスに基づく手術計画自動立案 (博士後期課程研究成果発表会 2011.12.01)人工股関節全置換術における統計アトラスに基づく手術計画自動立案 (博士後期課程研究成果発表会 2011.12.01)
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AutoImPlan: An automated system for CT-based THA planning

  • 1. AutoImPlan : An Automated System for CT-based THA Planning - Planning Optimization Based on Anatomical Compatibility and Joint Function - ○ Itaru OTOMARU a , Masahiko NAKAMOTO b , Masaki TAKAO c , Nobuhiko SUGANO c , Yoshiyuki KAGIYAMA d , Hideki YOSHIKAWA c , Yukio TADA a and Yoshinobu SATO b a Graduate School of Engineering, Kobe University b Department of Radiology, Graduate School of Medicine, Osaka University c Department of Orthopaedics, Osaka University Graduate School of Medicine d The Center for Advanced Medical Engineering and Infomatics, OsakaUniversity
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  • 18. Thank you for your attention This research was supported in part by Stryker Japan K. K. and Med-Solution, Inc.
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Editor's Notes

  1. Total planning is consist of two steps.
  2. We show the expreimental results. ~ The surgeon accepted the automated planning in 31 cases and 14 cases and accepted in small adjustment in 10 cases and 23 cases in the stem planning and cup planning, respectively. Mean leg length discrepancy was 1.8 mm in the automated planning, and 2.5 mm in the surgeon’s plan. Meadn range onf motion was, 41.7 deg. in the automated planning and 47.7 deg. in the surgeon’s plan. LLD and ROM were approximately ~
  3. We show the expreimental results. ~ The surgeon accepted the automated planning in 31 cases and 14 cases and accepted in small adjustment in 10 cases and 23 cases in the stem planning and cup planning, respectively. Mean leg length discrepancy was 1.8 mm in the automated planning, and 2.5 mm in the surgeon’s plan. Meadn range onf motion was, 41.7 deg. in the automated planning and 47.7 deg. in the surgeon’s plan. LLD and ROM were approximately ~
  4. We show the expreimental results. ~ The surgeon accepted the automated planning in 31 cases and 14 cases and accepted in small adjustment in 10 cases and 23 cases in the stem planning and cup planning, respectively. Mean leg length discrepancy was 1.8 mm in the automated planning, and 2.5 mm in the surgeon’s plan. Meadn range onf motion was, 41.7 deg. in the automated planning and 47.7 deg. in the surgeon’s plan. LLD and ROM were approximately ~
  5. We show you the overview of the WEB based preview system
  6. Web preview system visualize the planning results and show the planning information using web browser. Surgeon can select the satisfied solution.
  7. In the cup planning, ~
  8. We show you the planning procedure of each implant. Stem planning is based on the statistical atlas which is constructed from the learning datasets of surgeon’s plan. The statistical atlas represents the average distace map between stem and medullary cavity. Size selection and positioning is performed so that the distance map becomes the same as that of the atlas.
  9. We show you the overview of the WEB based preview system