DocumentCode :
1503114
Title :
In vivo measurement of 3-D skeletal kinematics from sequences of biplane radiographs: Application to knee kinematics
Author :
You, Byoung-moon ; Siy, Pepe ; Anderst, William ; Tashman, Scott
Author_Institution :
Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI, USA
Volume :
20
Issue :
6
fYear :
2001
fDate :
6/1/2001 12:00:00 AM
Firstpage :
514
Lastpage :
525
Abstract :
Current noninvasive or minimally invasive methods for evaluating in vivo knee kinematics are inadequate for accurate determination of dynamic joint function due to limited accuracy and/or insufficient sampling rates. A three-dimensional (3-D) model-based method is presented to estimate skeletal motion of the knee from high-speed sequences of biplane radiographs. The method implicitly assumes that geometrical features cannot be detected reliably and an exact segmentation of bone edges is not always feasible. An existing biplane radiograph system was simulated as two separate single-plane radiograph systems. Position and orientation of the underlying bone was determined for each single-plane view by generating projections through a 3-D volumetric model (from computed tomography), and producing an image (digitally reconstructed radiograph) similar (based on texture information and rough edges of bone) to the two-dimensional radiographs. The absolute 3-D pose was determined using known imaging geometry of the biplane radiograph system and a 3-D line intersection method. Results were compared to data of known accuracy, obtained from a previously established bone-implanted marker method. Difference of controlled in vitro tests was on the order of 0.5 mm for translation and 1.4° for rotation. A biplane radiograph sequence of a canine hindlimb during treadmill walking was used for in vivo testing, with differences on the order of 0.8 mm for translation and 2.5° for rotation.
Keywords :
biomechanics; diagnostic radiography; image segmentation; image sequences; image texture; kinematics; 3-D skeletal kinematics; 3-D volumetric model; biplane radiograph sequences; bone edges; bone-implanted marker method; canine hindlimb; computed tomography; digitally reconstructed radiograph; exact segmentation; geometrical features; in vivo measurement; in vivo testing; medical diagnostic imaging; texture information; treadmill walking; Bones; Image edge detection; In vivo; Joints; Kinematics; Knee; Minimally invasive surgery; Radiography; Sampling methods; Testing; Animals; Biomechanics; Dogs; Exercise Test; Hindlimb; Image Processing, Computer-Assisted; Imaging, Three-Dimensional; Knee Joint; Radiography; Rotation; Signal Processing, Computer-Assisted; Tomography, X-Ray Computed;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/42.929617
Filename :
929617
Link To Document :
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