Patient Positioning Using Artificial Intelligence Neural Networks, Trained Magnetic Field Sensors and Magnetic Implants

Lennernäs, Bo; Edgren, M; Nilsson, Sten

doi:10.1080/028418699432446

Cited by 3 publications

(1 citation statement)

References 8 publications

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“…Various approaches to image-guided radiation therapy (IGRT) have been proposed. Amongst these are implanted radio opaque markers (Balter et al 1995, Litzenberg et al 2002, Sandler et al 1993, implanted magnetic markers (Lennernas 1997, Lennernas et al 1999, Lennernas and Nilsson 1995, ultrasound systems (Bouchet et al 2001, Lattanzi et al 1999, Morr et al 2002, Tome et al 2002, CT/LINAC (Cheng et al 2003, Court et al 2003, MVCT (Mackie et al 1993, Swindell 1983, MV cone-beam CT (Ford et al 2002, Midgley et al 1998, Mosleh-Shirazi et al 1998, Pouliot et al 2005, Seppi et al 2003 and kV cone-beam CT (Berbeco et al 2004, Jaffray et al 1999, 2002, Jaffray and Siewerdsen 2000. Each system has advantages and disadvantages and no one method has emerged as clearly superior.…”

Section: Introductionmentioning

confidence: 99%

Cone-beam CT using a mobile C-arm: a registration solution for IGRT with an optical tracking system

Sorensen¹,

Mitschke²,

Solberg³

2007

Phys. Med. Biol.

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A method for registering images acquired from a prototype flat panel mobile C-arm, capable of kilovoltage (kV) cone-beam computed tomography (CT), to a linear accelerator (LINAC) isocenter is presented. A calibration procedure is performed which involves locating reflective markers placed on the C-arm and a phantom in two coordinate systems. A commercial optical tracking system locates the markers relative to the LINAC isocenter (room coordinates). The cone-beam imaging capabilities of the C-arm provide the location of the markers on the calibration phantom in image coordinates. A singular value decomposition (SVD) algorithm is used to determine the relationship between the C-arm, image coordinates and room coordinates. Once the calibration is completed, the position of the C-arm at any arbitrary location is accurately determined from the tracking system. A final transformation is calculated capable of mapping voxels in the reconstructed image set to their corresponding position in room coordinates. An evaluation to determine the accuracy of this method was performed by locating markers on a phantom. The position of the phantom markers in room coordinates was obtained directly using the optical tracking system and compared with that using the described method above. A mean absolute distance of 1.4+/-0.5 was observed for a completely transformed image set. This is comparable to that of systems routinely used for image-guided radiation therapy (IGRT).

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Section: Introductionmentioning

confidence: 99%

Cone-beam CT using a mobile C-arm: a registration solution for IGRT with an optical tracking system

Sorensen¹,

Mitschke²,

Solberg³

2007

Phys. Med. Biol.

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High precision transponder localization using a novel electromagnetic positioning system in patients with localized prostate cancer

Kindblom

Ekelund-Olvenmark

Syrén³

et al. 2009

Radiotherapy and Oncology

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Stability and Hopf Bifurcation of Nearest-Neighbor Coupled Neural Networks With Delays

Wang

Xiao

Zhou

et al. 2020

Journal of Computational and Nonlinear Dynamics

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In this paper, a high dimensional system of nearest-neighbor coupled neural networks with multiple delays is proposed. Nowadays, most present researches about neural networks have studied the connection between adjacent nodes. However, in practical applications, neural networks are extremely complicated. This paper further considers that there are still connection relationships between non-adjacent nodes, which reflect the intrinsic characteristics of neural networks more accurately because of the complexity of its topology. The influences of multiple delays on the local stability and Hopf bifurcation of the system are explored by selecting the sum of delays as bifurcation parameter and discussing the related characteristic equations. It is found that the dynamic behaviors of the system depend on the critical value of bifurcation. In addition, the conditions that ensure the stability of the system and the criteria of Hopf bifurcation are given. Finally, the correctness of the theoretical analyses is verified by numerical simulation.

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Patient Positioning Using Artificial Intelligence Neural Networks, Trained Magnetic Field Sensors and Magnetic Implants

Cited by 3 publications

References 8 publications

Cone-beam CT using a mobile C-arm: a registration solution for IGRT with an optical tracking system

Cone-beam CT using a mobile C-arm: a registration solution for IGRT with an optical tracking system

High precision transponder localization using a novel electromagnetic positioning system in patients with localized prostate cancer

Stability and Hopf Bifurcation of Nearest-Neighbor Coupled Neural Networks With Delays

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