Novel method for correction of x-ray fluoroscopic image

Zhang, W.Q.; Dai, Kerong; Wang, C.T.

doi:10.1109/iembs.2005.1615947

Cited by 5 publications

(3 citation statements)

References 7 publications

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“…Fluoroscopy images undergo pincushion distortion due to the projection of the X‐ray beam onto the curved input surface of the X‐ray image intensifier 16, 17. The pincushion distortion produced by the fluoroscopy unit was estimated by imaging a 400 mm × 400 mm perspex calibration cube, implanted with a grid of tantalum beads.…”

Section: Methodsmentioning

confidence: 99%

New registration algorithm for determining 3D knee kinematics using CT and single‐plane fluoroscopy with improved out‐of‐plane translation accuracy

Scarvell

Pickering

Smith

2009

Journal Orthopaedic Research

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To understand the kinematic effects of surgery, arthroplasty or conservative treatments, a noninvasive system to capture accurate 3D imaging of functional activities in prospective, controlled studies is required. To provide such a technique, a new algorithm was developed to register 3D CT data of normal bones to the same bones in a 2D fluoroscopy frame. The algorithm produces a digitally reconstructed radiograph (DRR) from the CT data and then filters this to produce an edge-enhanced image. The resulting image is then registered with an edge-enhanced version of the fluoroscopy frame using a new similarity measure called Cross-Correlation Residual Entropy (CCRE). The system was evaluated by implanting tantalum beads into three cadaveric knees to act as fiducial markers. The knees were flexed between 08 and 708, and single-plane fluoroscopy data of the knees were acquired. CT data of the femur and tibia were then individually registered to the fluoroscopy images. No significant measurement bias was observed, and the standard deviation of the error in bead positions was 0.38 mm for in-plane translation and 0.42 degrees for rotation. To determine the accuracy of the registration algorithm for out-of-plane translations, fluoroscopy frames were scaled in size by fixed increments; the average standard deviation of the errors for out-ofplane translation was 0.65 mm. The ability to obtain such accurate 3D motion data from a noninvasive technique will enable prospective, longitudinal, and controlled studies of reconstruction surgery, and conservative management of joint pathologies. The function of the knee relies on balancing the demands for stability required for weight bearing and protection of the articular tissues, and flexibility required for function in a range of activities.1 This balance is sought between stability and flexibility for rehabilitation after injury, and for total knee replacement kinematics, where improved function and flexibility cannot be at the cost of increased wear. The bony architecture of the knee means it is an inherently unstable joint that relies on soft tissue constraints provided by ligaments, muscle forces, menisci, capsule, and retinaculum to provide guidance to planes of motion and restraints to motion beyond the physiological optimum.2 Indeed, aberrant knee kinematics are responsible for accelerated wear in knee prostheses and in the natural knee, stressing articular cartilage beyond its physiological capacity to respond. 3,4 For the past 20 years, roentgen stereophotogrammetry (RSA) has been the gold standard for mapping 3D kinematics.5 RSA was slow at 2 frames/s; however, dynamic RSA is now capable of acquisition rates of up to 250 frames/s. The major limitation of RSA is that it is invasive, requiring prior implantation of tantalum beads as fiducial markers into the bone. 6 Consequently, it has been mainly used for postoperative studies. Prospective or controlled studies have been rare. 8-10 Previously reported singleplane techniques can be divided into those that explo...

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Section: Methodsmentioning

confidence: 99%

New registration algorithm for determining 3D knee kinematics using CT and single‐plane fluoroscopy with improved out‐of‐plane translation accuracy

Scarvell

Pickering

Smith

2009

Journal Orthopaedic Research

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“…The geometric distortions (mainly pincushion distortion and sigmoidal distortion) have three main sources, (a) the projection of the X-ray beam onto the curved input surface of the XRII, (b) the deflection of the electrons inside the XRII caused by any external magnetic field, and (c) the significant frame deformation when the C-arm rotates. 11 Correction of such images can be done using a radio-opaque grid of lines or points with known spatial coordinates. The same phenomenon as in (a), rules over the cameras which present a radial distortion to the images.…”

Section: Off-line Camera Calibrationmentioning

confidence: 99%

Data fusion for catheter tracking using Kalman filtering: applications in robot-assisted catheter insertion

Azizian

Patel

2011

SPIE Proceedings

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X-ray image guided angioplasty is a minimally invasive procedure that involves the insertion of a catheter into a blood vessel to remove blockages to blood flow. There are several issues associated with conventional angioplasty which cause risks for the patient (damage to blood vessels, dislodging plaques, etc.) and difficulties for the clinician (X-ray exposure, fatigue, etc.). Autonomous or semi-autonomous robot-assisted catheter insertion is a solution that can reduce these problems substantially. To perform autonomous catheter insertion, closed-loop position control of the distal tip of the catheter is required during insertion. Therefore accurate real-time position feedback is needed for this purpose. We have developed a real-time image processing algorithm for catheter tip position tracking which has an acceptable performance but is sensitive to X-ray image artifacts caused by bones and dense tissues. A magnetic tracking system (MTS) is another modality that has also been used for catheter tip position tracking, but it is sensitive to external electromagnetic interferences and ferromagnetic material. Combining the measurement data provided by both imaging and magnetic sensors can compensate for the deficiencies of each and can also improve the robustness of catheter tip position tracking. We have developed a Kalman filter based sensor fusion scheme to overcome deficiencies of both of these methods and create a reliable real-time tracking of a catheter tip. Experiments have been performed by inserting a guide catheter into a model of the vasculature. The method has been tested in presence of occlusion in the images and also electromagnetic interference.

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“…Fluoroscopy images undergo pincushion distortion due to the projection of the X-ray beam onto the curved input surface of the X-ray image intensifier [10]. The pincushion distortion produced by the fluoroscopy unit used in our experiments was estimated by imaging a 400 mm x 400 mm perspex calibration cube, implanted with a grid of tantalum beads.…”

Section: The Registration Algorithmmentioning

confidence: 99%

An improved CT to fluoroscopy registration algorithm for the kinematic analysis of knee joints

Pickering

Scarvell²,

Smith³

2009

2009 16th International Conference on Digital Signal Processing

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Understanding the kinematics of the knee joint as it undergoes normal physical activities is an important goal of the orthopaedic research community. The limitations of previous approaches to capturing knee kinematics include the requirement for tantalum beads to be implanted prior to imaging and the use of biplanar X-ray imaging which is not commonly available in hospital imaging departments. A recently proposed alternative approach is to register 3D CT data with individual 2D video frames of the knee captured using single-plane X-ray fluoroscopy. The main limitation of this approach has been the inaccuracy of the registration algorithm for out-of-plane translation. In this paper we propose an improved registration algorithm which uses the relatively new Cross-Cumulative Residual Entropy similarity measure. Experimental results show that the accuracy of our proposed technique is superior to previous approaches particularly for out-of-plane translation.

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Novel method for correction of x-ray fluoroscopic image

Cited by 5 publications

References 7 publications

New registration algorithm for determining 3D knee kinematics using CT and single‐plane fluoroscopy with improved out‐of‐plane translation accuracy

New registration algorithm for determining 3D knee kinematics using CT and single‐plane fluoroscopy with improved out‐of‐plane translation accuracy

Data fusion for catheter tracking using Kalman filtering: applications in robot-assisted catheter insertion

An improved CT to fluoroscopy registration algorithm for the kinematic analysis of knee joints

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