Spine Recognition: From Medical Image Analysis to Image- Guided - - PowerPoint PPT Presentation
Spine Recognition: From Medical Image Analysis to Image- Guided - - PowerPoint PPT Presentation
Spine Recognition: From Medical Image Analysis to Image- Guided Interventions : Yunliang Cai Background Spine structure: Contain 24 bones (vertebra)
Background
- Spine structure:
- Contain 24 bones (vertebra)
- Strong but highly deformable
- Combined w/ bone, soft tissue, nerve …
胸椎 腰椎 头椎 椎体 棘突 橫突 脊髓
Background
- Some common spine problems
- Spondylolysis 腰椎脱离
- Fractures 椎体骨折
- Deformity 畸形
- Degenerative disc 椎间盘退化
- Some spinal surgeries
- Spine fusion 融合手术
- Discectomy 椎间盘切除
- Laminectomy 椎弓切除
Spine Fusion
Background
- How to automate diagnosis?
- How to automate surgery?
Computational Spine Model
脊骨计算模型
Computational Spine Model
- Our Approach --- Computational Anatomy
Parameterized Computation Model
Multi-Modality/View/Subject
Optimal Geometric Parameters
For Diagnosis For Surgery Guidance
Deform & Match Extract
Computational Spine Model
- Hierarchical Model Design
Computational Spine Model
- Spine Image Analysis: Basic Workflow
- Y. Cai et al, TMI 2015
Spine Image Analysis
脊骨图像分析
Spine Image Analysis
- Local Appearance Module
- Use Multi-Modal Deep Net for Cross-Modality Detection
Cross Modality
Spine Image Analysis
- Global Geometry Module
- Use universal 3D CAD model for spine shape analysis
- Register by point registration method (Coherent Point Drift,
Myronenko et al PAMI 2010)
Spine Shape Analysis
Spine Image Analysis
- Local Geometry Module
- Use Lie-Group-based Congealing for vertebra pose
estimation (Y. Cai et al TIP 2013)
- Use tri-planar estimation for 3D pose
Vertebra Pose
Spine Image Analysis
- Multi-view, multi-modal, and whole spine recognition
- For diagnosis of spondylolysis, deformity, …
Image-Guided Spinal Surgery
图像引导脊骨手术
Image-Guided Spinal Surgery
- Why need it?
- Precision!!
- How to?
- Patient Registration:
Pre-Operative Images (手术前) register with Intra-Operative Structure (手术进行时)
?
Pre-Operative CT Surgery on going…
Image-Guided Spinal Surgery
- Pre-Operative Modalities:
- CT, MR
- Intra-Operative Modalities:
- Ultrasound 超声, Fluoroscopy 透视, Cone Beam CT 锥束CT
- …
Image-Guided Spinal Surgery
- Our Pre-Op Images: CT
- Our Intra-Op Images: Stereovision(SV)
CT SV images SV surface 立体视觉 Microscopy
(拍摄用)
Stealth Station
(实时跟踪用) Pre-Op CT
- S. Ji et al, TBME 2015
Radiation Free
Image-Guided Spinal Surgery
- Our method: Rectify the spine to a “deformation-free” pose
NLPCA Flattening Inverse NLPCA
CT
NLPCA Flattening Inverse NLPCA
SV
Non-linear PCA: Auto-associate Network (Auto-Encoder Network)
- M. Scholz et al LNCS 2007
Image-Guided Spinal Surgery
- Y. Cai et al, SPIE 2016
- 2D image reg. (faster!)
- Dense point-point correspondence
(more accurate)
Demo
Accuracy Test: Err < 1.5 mm ! Image-Guided Drilling
Future Directions: Spine Image Analysis
- Explore on Soft Tissue
- Explore on Spinal Cord
PET/CT SPECT/CT Diffusion Tensor Imaging Analysis for: Cancer Infectious Disease Trauma … Analysis for: Neural Trauma Vascular Function … CT Angiography PET/MR
Future Directions: Image- Guided Interventions
- Multimodality Integration
- Towards Robotic Surgery
CT + Ultrasound + SV + ….?
Mazor Robotics (Technion)
微创手术机器人 (第三军医大学新桥医院 中科院渖阳自动化研究所)
Surgical Robot Assistant (Wright State Univ.) AQRate Robotic System (EPFL)
Conclusions
- Spine Image Analysis
- Computational spinal model
- Cross-modality vertebra detection
- Spine shape analysis
- Vertebra pose estimation
- Image guidance spinal surgery
- CT-SV image guidance system
- Geometric rectification for deformed spines
- Image-guided spinal fusion surgery
- Future work
- Towards hybrid modality analysis
- Towards robotic spinal surgery
Acknowledgment
- Research led by
- Surgical team
- Projects funded by
PI: Prof. Shuo LI PI: Prof. Songbai JI
- Dr. Scott S. Lollis, MD
(Primary Surgeon)
R21 NS078607
Thank You!
- Q & A