Atembewegungssimulator für die in-vitro Evaluation von Weichgewebe-Navigationssystemen in der Leber

Maier-Hein, Lena; Pianka, Frank; Müller, Sascha; Seitel, Alexander; Rietdorf, Urte; Wolf, Ivo; Schmied, Bruno M.; Meinzer, Hans Peter

doi:10.1007/978-3-540-71091-2_76

Cited by 1 publication

(4 citation statements)

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“…It became obviously that the quality of a realistic virtual endoscope image is an essential factor. Apart from more sophisticated molecular imaging concepts [1], an indication of vessel perfusion as well as the detection of sentinel lymph nodes is already possible i.e. by applying the approved fluorescent contrast agent indocyanine green (ICG) [2].…”

Section: Resultsmentioning

confidence: 99%

“…We used a respiratory liver motion simulator [1] to evaluate the visualization methods in a realistic setup. It allows the mounting of an explanted liver which can be moved along the longitudinal axis of a corpus model to simulate breathing motion (Fig.…”

Section: Evaluation Methodsmentioning

confidence: 99%

“…The main problem with EM systems used in a clinical setting occur with the presence of ferromagnetic metals or conductive material which reduces the accuracy of these systems considerably [2]. Some authors have described protocols for assessing the accuracy of such systems [1,3], and a few techniques have been reported for calibration of EM tracking systems [4]. We present a general and portable system for detecting and correcting static magnetic field distortions by using an inexpensive and portable haptic device.…”

Section: Introductionmentioning

confidence: 99%

“…2b). To obtain the image area, we use the active contour method [1]. However, active contour is greatly affected by the existence of image noise.…”

Section: System Introductionmentioning

confidence: 99%

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Surgical Navigation

2007

Int J CARS

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During the last decade, electromagnetic tracking systems have matured to the level where they have been adopted in several medical applications. However, the tracking accuracy of EM tracking systems is highly sensitive to magnetic field distortions due to metal or electronic equipment in the environment. We have developed a system which detects and corrects such static disturbances of the magnetic field generated by EM tracking systems. The system uses an inexpensive haptic device acting as a robot and a highly accurate tracking device. Positions from both systems are automatically sampled and stored in a non-regular hexahedral mesh. Local transformations are computed for each hexahedron enabling transformation of intra-hexahedron positions between the two coordinate frames. This data-structure is used to correct EM tracking positions in real-time. The registration accuracy between the haptic and the EM tracking system improved from a root-mean-square error of 20.8 to 1.3 mm in an experiment in the operating room by applying the dewarping algorithm. The main advantages being that the system is highly portable, inexpensive, and can correct tracking signals in real-time.

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Section: Resultsmentioning

confidence: 99%

Section: Evaluation Methodsmentioning

confidence: 99%