2005
DOI: 10.1002/rcs.58
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Computer-assisted access to the kidney

Abstract: Preliminary results are encouraging. Further work will be undertaken to improve efficiency and accuracy, and to take breathing into account.

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Cited by 24 publications
(31 citation statements)
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“…25 Images of the kidney can be used to translate a computed tomography-based preoperative surgical plan to an intraoperative environment. 26 Spine volumes have seen increasing use for procedures such as facet joint injection. 27 Ten healthy human participants (five male, five female, ages ranging from 21 to 26) were recruited.…”
Section: Image Acquisitionmentioning
confidence: 99%
“…25 Images of the kidney can be used to translate a computed tomography-based preoperative surgical plan to an intraoperative environment. 26 Spine volumes have seen increasing use for procedures such as facet joint injection. 27 Ten healthy human participants (five male, five female, ages ranging from 21 to 26) were recruited.…”
Section: Image Acquisitionmentioning
confidence: 99%
“…Registry errors of 1.2 mm and target distances of 4.7 mm have been obtained by Mozer and coworkers. 30 In this work, the authors use a 3D/3D surface matching rigid registration between CT segmented structures and the 3D US images. Wein and colleagues 22 presented a fully automatic image-based algorithm for registering 3D freehand ultrasound sweeps with CT.…”
Section: 15mentioning
confidence: 99%
“…In 2004, Osorio et al presented augmented reality visualization that allowed projection of pre-operative CT onto the patient's body, although this system does not achieve real-time monitoring of the procedure (Osorio et al 2004). In 2005, Mozer et al evaluated the accuracy of the fusion of CT with real-time US for percutaneous renal access, reporting the encouraging registration accuracy of 4.7 mm between planned and reached targets (Mozer et al 2005). They noted that error was mainly due to needle deflection during puncture.…”
Section: Percutaneous Renal Interventionmentioning
confidence: 99%