Image Processing

Fully automatic initialization of two-dimensional–three-dimensional medical image registration using hybrid classifier

[+] Author Affiliations
Jing Wu, Emam E. Abdel Fatah, Mohamed R. Mahfouz

University of Tennessee, Institute of Biomedical Engineering, 1506 Middle Drive, Knoxville, Tennessee 37996-2000, United States

J. Med. Imag. 2(2), 024007 (Jun 02, 2015). doi:10.1117/1.JMI.2.2.024007
History: Received September 3, 2014; Accepted May 1, 2015
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Abstract.  X-ray video fluoroscopy along with two-dimensional–three-dimensional (2D-3D) registration techniques is widely used to study joints in vivo kinematic behaviors. These techniques, however, are generally very sensitive to the initial alignment of the 3-D model. We present an automatic initialization method for 2D-3D registration of medical images. The contour of the knee bone or implant was first automatically extracted from a 2-D x-ray image. Shape descriptors were calculated by normalized elliptical Fourier descriptors to represent the contour shape. The optimal pose was then determined by a hybrid classifier combining k-nearest neighbors and support vector machine. The feasibility of the method was first validated on computer synthesized images, with 100% successful estimation for the femur and tibia implants, 92% for the femur and 95% for the tibia. The method was further validated on fluoroscopic x-ray images with all the poses of the testing cases successfully estimated. Finally, the method was evaluated as an initialization of a feature-based 2D-3D registration. The initialized and uninitialized registrations had success rates of 100% and 50%, respectively. The proposed method can be easily utilized for 2D-3D image registration on various medical objects and imaging modalities.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Jing Wu ; Emam E. Abdel Fatah and Mohamed R. Mahfouz
"Fully automatic initialization of two-dimensional–three-dimensional medical image registration using hybrid classifier", J. Med. Imag. 2(2), 024007 (Jun 02, 2015). ; http://dx.doi.org/10.1117/1.JMI.2.2.024007


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