3d software techniques for surgery (김영준) - 2017 대한정형외과 연구학회 발표
TRANSCRIPT
3D 의료영상처리 S/W
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▶ 3D 가상 수술 :시술방법 최적화수술가이드 설계 및 3D 프린팅 지원간편한 수술 계획 인터페이스효과적인 진단 정보 가시화
▶ 3D 환자모델링 :신경, 혈관, 뼈, 피부 등 복합가시화환자 모델링 자동화
▶ 3D 형상 모델 처리기술 :Mesh HealingBoolean Operation3D Sketch
3D 환자모델링 – Shoulder MR
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3D 회전근개 모델링
정상인 대파열 환자 소파열 환자
회전근개 모델 3차원 뷰어
: Volume data + STL mesh models 복합
Segmentation Results (Supraspinatus)
3차원 모델링의 실험 및 평가- 실험 데이터 수 : 5개- 비교 방법 수 : 5가지 (기존 영상분할 방법 2가지(RSF, RE), 수동 분할, 전문가1,2에 의한 각 분할)
- 분할 정확도 측정: Dice Ratio(DR) =2|𝐴⋂𝐵|
𝐴 +|𝐵|, 𝑨 : 참조분할의모든복셀, 𝐵 : 실험 결과의모든복셀 → 1에 가까울수록실험 결과를신뢰할수있음.
파란색: 전문가1,2에 의한분할 결과들간의 dice ratio
빨간색: 전문가1과각 방법간의 dice ratio
연두색: 전문가2와각 방법간의 dice ratio
→ 다른방법들에비해전문가분할결과간의 dice ratio와유사한범주를가지며, 0.94 이상의높은신뢰도를 가짐
3차원 모델링 오차 2차원 영상간의 비교
RSF RE원 영상 제안된방법 전문가1 전문가2
3.0mm
0mm
RSF RE 수동 분할 제안된방법
3.0mm
0mm
RSF RE 수동 분할 제안된방법
5.13 mm 0.95 mm 0.86 mm 0.44 mm 평균오차
2.53 mm 0.75 mm 0.65 mm 0.52 mm 평균오차
Contents
3D Maxillofacial Reconstructive Surgery
• Mandibular Reconstruction
• Orbital Fracture Reconstruction
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3D virtual surgical planning
Automatic 3D patient modeling
FEM analysis for optimization of surgical procedures
Automatic 3D patient modeling (mandible, fibula, vessels, etc.)
Virtual surgery – arrangement of bones, optimization of fibula free flap
FEM analysis – optimization of plates, screw arrangements, surgical procedures,
3D Surgical Planning
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Preparation Time (>10 hours)
Manual Segmentation
Not specialized in maxillofacial recon. surg.
Expensive, Foreign Company (> 40,000 USD)
MimicsTM (Materialise, Belgium)
Problems of existing S/W Clinical Needs
Specialized S/W for maxillofacial recon. surg. for
Korean patients
Automation of manual process
Easy to use
Optimized virtual surgical planning
Preoperative Virtual Simulation
Prof. Jung-woo Lee (Kyunghee Univ.)
Prof. Jong Woo Choi (Asan Medical Center)
Dr. Yong-chan Lee (Bastian Seoul Hospital)
공동연구: 경희대학교 치과 구강외과 이정우 교수님
Bone Resection
Cutting plane
Boolean Operation
(Subtraction)
11(a) Define of resection area (b) Removal of resection area
Comparison with a Commercial S/W
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Mimics & 3-matic(Materialize co.)
Developed S/W(KIST)
PlanningAutomatic planning
of mandible reconstruction
X O
CADFunctions
Healing O O
Boolean O O
Translation O O
Rotation O O
Mate Δ O
Multithreading X O
Cutting Plane
Creation O O
Modification Δ O
Thickness Δ O
CT image projection X O
Display in CT slice O O
Contour of bone X O
View
Multi-rendering view
X O
CT slice view Δ O
Sub-view for fibula X O
MeshManagement
Mesh export O O
Color/Transparency Δ O
Transform Lock X O
User Study(Department of Oral and Maxillofacial Surgery,
Kyunghee Univ.)
• User-friendly interface
• Easy to use
- Multi-rendering view, sub-view for fibula
- Transform lock
- Reduced planning time
User Study
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4.23 4.26 4.41
3.26 3.24 3.22
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1
2
3
4
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편의성 유용성 소요시간
사용자설문평가결과
KIST Mimics
대한악안면성형재건외과학회 전문가 설문조사
2016.11.4, 광주 김대중컨벤션센터
[설문 응답자]
• 소속: 이대 목동병원, 서울대 치대 임상시험센터,
단국대, 가톨릭 관동대 국제성모병원, 경희대 치대(2)
• 신분 및 연차: 교수 (2), 전임의 (3), 치과 대학원생
• 수술 경험: 무(2), 1회, 5~7회, 20회, 어시스트 2년
Contents
3D Maxillofacial Reconstructive Surgery
• Mandibular Reconstruction
• Orbital Fracture Reconstruction
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3D Planning S/W for Orbital Fracture Reconstruction
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AMC-KIST 공동연구 과제
공동 PI: 서울아산병원 성형외과 최종우 교수님
Orbital wall modeling(Semi-automatic segmentation)
Fracture display 3D analysis Patient-specific Implant design
Mirroring & Registration
Better surgical outcomeShortening surgical time in OREnhancing patient safety
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3D Patient Modeling
Semi-Automatic Orbital Wall Modeling
기존 SW: 100장 이상의 영상에 대해 수작업
모델링 소요시간 1/10 수준으로 감소
Patient #1 Patient # 2 Patient # 3
Facial bone CT Thresholding Ethmoid 분할 Orbital wall 분할 3D model
제안 기술
3D Diagnosis
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Measurement (length, angle, volume, ex- or enophthalmos)
Multiple display (orbit, optic nerve)3D orbit volume
Real-time Surgical Navigation (1)
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Pre-Op. Planning
Patient
CT scanning, 3D modeling
Virtual surgical planning
Patient-specific plate
Registration
Patient 3D virtual model (plate + marker)
Intra-Op. Navigation
Real-time surgical navigation
Real-time Surgical Navigation (2)
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Anatomical Landmark(외이도관 및 치아)
Portal forlandmark
Upper teeth model
치아부설계
Patient-Specific 광학식 추적 마커 프레임
3D Printed frame
Design SW
의료기기인증
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의료기기법에 따른 의료기기 소프트웨어의 품질관리시스템 구축
품목군: 생체현상 측정기기
품목명: 의료영상 분석장치 소프트웨어(A26430.11), 2등급
• 식품의약품안전처 임상 GMP 적합인정서 획득 (2016.11)
임상시험계획승인신청
임상시험계획승인신청서
임상시험계획서
임상시험실시기관승인서 (IRB)
임상 GMP 적합인정서
기술문서 및관련 자료
제조시설/공정도
소프트웨어 품질기록, 데이터
소프트웨어 검증 및 유효성 확인 보고서
품질매뉴얼
절차서
GMP 적합인정신청서
임상 GMP 적합인정서
지침서
제품표준서
성능 및 유효성확인 자료
* GMP(Good Manufacturing Practice) – 의료기기 제조 및 품질관리 기준
정형외과공동연구 (2) 건국대학교 정석원교수님
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S. Kim, D. Lee, S. Park, K. Oh, S.W. Chung*, Y. Kim*, "Automatic segmentation of supraspinatus from MRI by
internal shape fitting and autocorrection", Computer Methods and Programs in Biomedicine, Vol. 140, pp. 165-
174, Mar. 2017
S.W. Chung, …, Y. Kim*, "Serial Changes in 3-Dimensional Supraspinatus Muscle Volume following Rotator
Cuff Repair", The American Journal of Sports Medicine, Vol. 45, No. 10, pp. 2345-2354, Aug. 2017
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S.W. Chung, …, Y. Kim*, "Serial Changes in 3-Dimensional Supraspinatus Muscle Volume following Rotator
Cuff Repair", The American Journal of Sports Medicine, Vol. 45, No. 10, pp. 2345-2354, Aug. 2017
정형외과공동연구 (3) 강동경희대학교 김강일 교수님
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X-ray imagesCT data
3D scan dataRegistration
Youngjun Kim, Kang-Il Kim*, Jin Hyeok Choi, Kunwoo Lee, "Novel methods for 3D postoperative analysis of
total knee arthroplasty using 2D–3D image registration", Clinical Biomechanics, Vol. 26, No. 4, pp. 384-391,
May 2011
Automatic
calculation of
relative angles
External-internal
rotation
Extension &
Flexion gap
정형외과공동연구 (4) 삼성서울병원 왕준호 교수님
한림대학교 이병훈 교수님
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Arthroscopic Screen
Navigation
Cadaver
Cadaver test
Animal test
Y. Kim, B.H. Lee, K. Mekuria, H. Cho, S. Park, J.H. Wang, D. Lee, "Registration accuracy enhancement of a surgical navigation system for
anterior cruciate ligament reconstruction: A phantom and cadaveric study", The Knee, S0968-0160(16)30248-4, Feb. 2017
B.H. Lee, D.H. Kum, I.J. Rhyu, Y. Kim, H. Cho, J.H. Wang, "Clinical advantages of image-free navigation system using surface-based
registration in anatomical anterior cruciate ligament reconstruction", Knee Surgery, Sports Traumatology, Arthroscopy, Vol. 24, No. 11, pp.
3556-3564, Nov. 2016
J.G. Seo, S.M. Kim, J.M. Shin, Y. Kim, B.H. Lee, "Safety of simultaneous bilateral total knee arthroplasty using an extramedullary referencing
system: results from 2098 consecutive patients", Archives of Orthopaedic and Trauma Surgery, Vol. 136, No. 11, pp. 1615-1621, Nov. 2016
E. Shim, Y. Kim, D. Lee, B.H. Lee, S. Woo, K. Lee, “2D-3D registration for 3D analysis of lower limb alignment in a weight-bearing condition”,
Applied Mathematics (Accepted)
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E. Shim, Y. Kim, D. Lee, B.H. Lee, S. Woo, K. Lee, “2D-3D registration for 3D analysis of lower limb alignment in a weight-bearing condition”,
Applied Mathematics (Accepted)
Deep Learning based Rotator Cuff Tear Diagnosis
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Rotator cuff tear 자동진단 2000 tear & 2000 normal data 학습 후 진단 accuracy > 93%
Journal Paper Publication (2016~)1. S.W. Chung, …, Y. Kim, "Serial Changes in 3-Dimensional Supraspinatus Muscle Volume following Rotator Cuff Repair", The American Journal of Sports Medicine,
Vol. 45, No. 10, Aug. 2017
2. Y.D. Choi*, Y. Kim*, E. Park, “Patient-Specific Augmentation Rhinoplasty Using a Three-Dimensional Simulation Program and Three-Dimensional Printing”,
Aesthetic Surgery Journal, DOI: 10.1093/asj/sjx046, May, 2017
3. S. Kim, D. Lee, S. Park, K. Oh, S.W. Chung, Y. Kim, "Automatic segmentation of supraspinatus from MRI by internal shape fitting and autocorrection", Computer
Methods and Programs in Biomedicine, Vol. 140, pp. 165-174, Mar. 2017
4. Y. Kim, B.H. Lee, K. Mekuria, H. Cho, S. Park, J.H. Wang, D. Lee, "Registration accuracy enhancement of a surgical navigation system for anterior cruciate ligament
reconstruction: A phantom and cadaveric study", The Knee, S0968-0160(16)30248-4, Feb. 2017
5. C. Kyu Lee, Y. Kim, N. Lee, B. Kim, D.Y. Kim, S. Yi, "Feasibility study of utilization of action camera, GoPro Hero 4, Google glass and Panasonic HX-A100 in Spine
surgery", Spine, Vol. 42, No. 4, pp. 275-280, Feb. 2017
6. Q.C. Nguyen, Y. Kim, H. Kwon, "Optimization of layout and path planning of surgical robotic system", Int’l Journal of Control, Automation and Systems, Vol. 15, No.
1, pp. 375-384, Jan. 2017
7. Q.C. Nguyen*, Y. Kim*, S. Park, H. Kwon, "End-effector path planning and collision avoidance for robot-assisted surgical system", Int’l Journal of Precision
Engineering and Manufacturing, *These authors contributed equally to this work, Vol. 17, No. 12, Dec. 2016
8. B.H. Lee, D.H. Kum, I.J. Rhyu, Y. Kim, H. Cho, J.H. Wang, "Clinical advantages of image-free navigation system using surface-based registration in anatomical
anterior cruciate ligament reconstruction", Knee Surgery, Sports Traumatology, Arthroscopy, Vol. 24, No. 11, pp. 3556-3564, Nov. 2016
9. J.G. Seo*, S.M. Kim, J.M. Shin, Y. Kim*, B.H. Lee, "Safety of simultaneous bilateral total knee arthroplasty using an extramedullary referencing system: results from
2098 consecutive patients", Archives of Orthopaedic and Trauma Surgery, Vol. 136, No. 11, pp. 1615-1621, Nov. 2016
10. Y. Kim, Y.H. Na, L. Xing, R. Lee, S. Park, "Automatic deformable surface registration for medical applications by radial basis function-based robust point-matching",
Computers in Biology and Medicine, Vol. 77, No. 1, pp. 173-181, Oct. 2016
11. S.H. Park, S.W. Moon, B.H. Lee, S. Park, Y. Kim, D. Lee, S. Lim, J.H. Wang, "Arthroscopically blind anatomical anterior cruciate ligament reconstruction using only
navigation guidance: a cadaveric study", The Knee, DOI: 10.1016/j.knee.2016.02.020, Jul. 2016 (Epub ahead of print)
12. Y. Kim, W. Kim, D. Lee, "3D Inspection by Registration of CT and Dual X-ray Images", Journal of Int’l Society for Simulation Surgery, Vol. 3, No. 1, pp. 16-21, Jun.
2016
13. J.P. Yoon, S.W. Chung, J. Kim, H.S. Kim, H.J. Lee, W.J. Jeong, K.S. Oh, D.O. Lee, A. Seo, Y. Kim, "Intra-articular injection, subacromial injection, and
hydrodilatation for primary frozen shoulder: a randomized clinical trial", Journal of Shoulder and Elbow Surgery, Vol. 25, No. 3, pp. 376-383, Mar. 2016
14. J. Charton, L. Kim, Y. Kim, "Boolean operations by a robust, exact, and simple method between two colliding shells". Journal of Advanced Mechanical Design,
Systems, and Manufacturing, (Accepted)
15. E. Shim, Y. Kim, D. Lee, B.H. Lee, S. Woo, K. Lee, “2D-3D registration for 3D analysis of lower limb alignment in a weight-bearing condition”, Applied Mathematics –
Journal of Chinese Universities (Accepted)
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Thank you!
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Contact Information
Youngjun Kim, Ph.D.
- Center for Bionics, Korea Institute of Science and Technology
- E-mail: [email protected]
- Tel.: 02-958-5606
- C.P.: 010-5234-5378