2003
DOI: 10.1109/tmi.2003.819288
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Gradient-based 2-D/3-D rigid registration of fluoroscopic X-ray to CT

Abstract: Abstract-We present a gradient-based method for rigid registration of a patient preoperative computed tomography (CT) to its intraoperative situation with a few fluoroscopic X-ray images obtained with a tracked C-arm. The method is noninvasive, anatomybased, requires simple user interaction, and includes validation. It is generic and easily customizable for a variety of routine clinical uses in orthopaedic surgery. Gradient-based registration consists of three steps: 1) initial pose estimation; 2) coarse geome… Show more

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Cited by 159 publications
(101 citation statements)
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References 42 publications
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“…Fluoroscopic methods can either be used to track fiducial markers (20) or bone anatomy directly (21), and typically use a fixed position or tracked C-arm fluoroscope. While images can be much cleaner than those produced by ultrasound imaging, the use of X-rays does present the drawback of increasing the patient's radiation exposure.…”
Section: Femoral Notchmentioning
confidence: 99%
“…Fluoroscopic methods can either be used to track fiducial markers (20) or bone anatomy directly (21), and typically use a fixed position or tracked C-arm fluoroscope. While images can be much cleaner than those produced by ultrasound imaging, the use of X-rays does present the drawback of increasing the patient's radiation exposure.…”
Section: Femoral Notchmentioning
confidence: 99%
“…These methodologies can be grouped as feature based registration techniques (Besl and McKay. 1992;Taylor, Mittelstadt et al 1994;Lavallee, Szeliski et al 1995;Livyatan, Yaniv et al 2003;Tomaževic, Likar et al 2003) or as intensity based registration techniques (Penney, Batchelor et al 2001;Zollei, Grimson et al 2001;Rohlfing and Maurer 2002). Feature based approaches rely on the presence and identification of natural landmarks in the input datasets in order to determine the best alignment.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Surface based (Besl and McKay. 1992;Lavallee, Szeliski et al 1995;Livyatan, Yaniv et al 2003;Tomaževic, Likar et al 2003) feature registration approaches utilize the outer surfaces of an object of interest (extracted from a 3D model), and contours that outline the object on one or more 2D images. Registration is concerned with finding the object pose that minimizes the distance between surface and the contour.…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…For example in [4,5], 3D models obtained from CT or MR were registered to 2D X-ray and fluoroscopic images using gradient amplitudes for optimizing the correspondence of single bone structures. Similar objective functions using surface normals from statistical PDMs [6] were applied for the femur.…”
Section: Introductionmentioning
confidence: 99%