A computer-controlled pump and realistic anthropomorphic respiratory phantom for validating image-guided systems

Lin, Ralph; Wilson, Emmanuel; Tang, Jonathan; Stoianovici, Dan; Cleary, Kevin

doi:10.1117/12.712226

Cited by 7 publications

(2 citation statements)

References 11 publications

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“…Cleary et al [9] developed a respiratory liver motion simulator including a synthetic liver mounted on a one degree of freedom linear motion platform. In a recent report, the authors introduced a computer-controlled pump which is coupled to a synthetic torso to produce chest wall movements and simulate natural breathing patterns [10].…”

Section: Discussionmentioning

confidence: 99%

Respiratory liver motion simulator for validating image-guided systems ex-vivo

et al. 2008

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Objective: A clinically realistic phantom incorporating respiratory motion was developed for validating image-guided systems for the liver. Materials and methods: The respiratory liver motion simulator consists of a physical human torso model which allows for an explanted human or porcine liver to be mounted adjacent to an artificial diaphragm. The apparatus can be connected to a lung ventilator for simulation of respiratory motion and is compatible with computed tomography (CT) and magnetic resonance imaging (MRI). To analyze the liver movement generated by the simulator, we examined three porcine livers mounted to the phantom and monitored their movement with a set of optically tracked fiducial needles. Results: Mean displacement between expiration and inspiration was 15.0 ± 4.7 mm, with craniocaudal movement making up the main part (14.2 ± 4.9 mm). In addition, the livers showed movement due to tissue deformation. Conclusion: The liver movement generated by the motion simulator is comparable to that of a human liver in vivo. The phantom thus provides a low-cost alternative to animal experiments for validating image-guided systems.

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Section: Discussionmentioning

confidence: 99%

Respiratory liver motion simulator for validating image-guided systems ex-vivo

et al. 2008

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“…9, 11, and 13). Future works will focus on motion estimation, which requires validation using an anthropomorphic phantom [60] and more patient images along with statistical analysis.…”

Section: B Motion Estimation From Patient Datamentioning

confidence: 99%

Comparison of Analytic and Algebraic Methods for Motion-Compensated Cone-Beam CT Reconstruction of the Thorax

Rit

Sarrut

Desbat

2009

IEEE Trans. Med. Imaging

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Abstract-Respiratory motion is a major concern in cone-beam (CB) computed tomography (CT) of the thorax. It causes artifacts such as blur, streaks, and bands, in particular when using slow-rotating scanners mounted on the gantry of linear accelerators. In this paper, we compare two approaches for motion-compensated CBCT reconstruction of the thorax. The first one is analytic; it is heuristically adapted from the method of Feldkamp, Davis, and Kress (FDK). The second one is algebraic: the system of linear equations is generated using a new algorithm for the projection of deformable volumes and solved using the Simultaneous Algebraic Reconstruction Technique (SART). For both methods, we propose to estimate the motion on patient data using a previously acquired 4-D CT image. The methods were tested on two digital and one mechanical motion-controlled phantoms and on a patient dataset. Our results indicate that the two methods correct most motion artifacts. However, the analytic method does not fully correct streaks and bands even if the motion is perfectly estimated due to the underlying approximation. In contrast, the algebraic method allows us full correction of respiratory-induced artifacts.

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