GPU based real-time instrument tracking with three-dimensional ultrasound

Real-time three-dimensional ultrasound enables new intracardiac surgical procedures, but the distorted appearance of instruments in ultrasound poses a challenge to surgeons. This paper presents a detection technique that identifies the position of the instrument within the ultrasound volume. The alg...

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Bibliographic Details
Published in:Medical image analysis 2007-10, Vol.11 (5), p.458-464
Main Authors: Novotny, Paul M., Stoll, Jeff A., Vasilyev, Nikolay V., del Nido, Pedro J., Dupont, Pierre E., Zickler, Todd E., Howe, Robert D.
Format: Article
Language:English
Subjects:
3D Ultrasound
Animals
Cardiac Surgery
Cardiovascular Surgical Procedures - instrumentation
Cardiovascular Surgical Procedures - methods
Computer Systems
Echocardiography, Three-Dimensional - instrumentation
Echocardiography, Three-Dimensional - methods
Equipment Design
Equipment Failure Analysis
GPU
Instrument tracking
Phantoms, Imaging
Reproducibility of Results
Sensitivity and Specificity
Signal Processing, Computer-Assisted - instrumentation
Surgery, Computer-Assisted - instrumentation
Surgery, Computer-Assisted - methods
Surgical Instruments
Swine
Ultrasonography, Interventional - instrumentation
Ultrasonography, Interventional - methods
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Summary:Real-time three-dimensional ultrasound enables new intracardiac surgical procedures, but the distorted appearance of instruments in ultrasound poses a challenge to surgeons. This paper presents a detection technique that identifies the position of the instrument within the ultrasound volume. The algorithm uses a form of the generalized Radon transform to search for long straight objects in the ultrasound image, a feature characteristic of instruments and not found in cardiac tissue. When combined with passive markers placed on the instrument shaft, the full position and orientation of the instrument is found in 3D space. This detection technique is amenable to rapid execution on the current generation of personal computer graphics processor units (GPU). Our GPU implementation detected a surgical instrument in 31 ms, sufficient for real-time tracking at the 25 volumes per second rate of the ultrasound machine. A water tank experiment found instrument orientation errors of 1.1° and tip position errors of less than 1.8 mm. Finally, an in vivo study demonstrated successful instrument tracking inside a beating porcine heart.
ISSN:1361-8415
1361-8423
DOI:10.1016/j.media.2007.06.009