Title: Jacqueline Nerney Welch, Jeremy A. Johnson, Michael R. Bax, Rana Badr, Ramin Shahidi
1A Real-time Freehand 3D Ultrasound System for
Image-guided Surgery
- Jacqueline Nerney Welch, Jeremy A. Johnson,
Michael R. Bax, Rana Badr, Ramin Shahidi
IEEE Ultrasonics Symposium 2000 October 24, 2000
2Overview
- Design motivations and decisions
- 3D ultrasound
- Freehand scanning
- Optical tracking
- Volume rendering
- Simultaneous acquisition and visualization
- Methods
- Equipment
- Spatial calibration
- Volume construction and maintenance
- Results
- Future Work
3Ultrasound
- Ultrasound versus other imaging modalities (CT,
MR, X-ray) - Least expensive
- No ionizing radiation
- Compatible with existing surgical instruments
- Widely available and commonly used
- Real-time, interactive nature
43D Visualization of Ultrasound
- Compared to 2D, 3D provides
- More intuitive and comprehensible images
- More accurate volume estimation
- Shorter scanning times
- Improved sharing of information
2D Ultrasound Image
Volume Rendered 3D US
53D from Conventional 2D Ultrasound
2D Images
Volume Construction Engine
Position Data
Volume Rendering Engine
Workstation
US Probe
Tracking Device
6Optically Tracked Freehand Acquisition
- Freehand versus other scanning techniques
(mechanical) - Greatest freedom of movement
- Compact
- Least cumbersome
- Requires probe position measurements
- Optical versus other position tracking methods
(magnetic, mechanical, speckle decorrelation) - Insensitive to metallic surgical equipment
- Allows volume localization
7Interactive Volume Rendering
- Volume rendering versus other visualization
methods (slice projection, surface rendering) - Truest to the data set
- Easiest to interpret
- Segmentation not required
- Computationally expensive but feasible with
current technology
8Simultaneous Acquisition Visualization
Acquisition
9Equipment
- Image Guided Technology FlashPoint 5000 optical
tracking system with 580 mm camera - Sonosite handheld ultrasound scanner with 5MHz
linear probe - SGI 320 Visual Workstation with a single
processor running Windows NT
10Image to Volume Mapping
11Calibration Parameters
kP
- 6 extrinsic parameters
- Rotation (Ri , Rj , Rk)
- Translation (ti , tj , tk)
- 2 intrinsic parameters
- Image scale (si , sj)
- Can be written as
Probe Tracking Device Coordinates
iP
jP
(Ri , Rj , Rk) (ti , tj , tk) (si , sj)
iS, u
jS, v
Slice Coordinates
12Calibration Phantom
Image of Phantom During Calibration
Ultrasound Phantom (1/16 Acrylic)
13Calibration Method
- Obtain feature positions
- Align ultrasound probe
- Capture US image and probe position
- Localize features in image
- Calculate calibration parameters
- Scale factor
- Rotation and Translation
14Volume Construction and Maintenance
Insertion of New Slices
Removal of Old Slices
Overwrite Existing Slices
Interpolate with Nearby Slices
15Results
16Results
17Future Work
- Quantify and improve system performance
- Spatial and temporal accuracy
- Data rates
- Display position and trajectory of surgical
instruments - Apply system to clinical situations
18Acknowledgements
- Dr. Thomas Krummels lab
- DOD Graduate Research Fellowship
- CBYON, Inc.