Ms. Michele Aubin Profile

Michele Aubin

Graduate Student at Univ of California San Francisco

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Publications (4)

Proceedings Article | 20 April 2005 Paper

Evaluation of the mechanical stability of a megavoltage imaging system using a new flat panel positioner

O. Morin, J. Chen, M. Aubin, J. Pouliot

Proceedings Volume 5745, (2005) https://doi.org/10.1117/12.593543

KEYWORDS: Photomasks, Imaging systems, Matrices, Calibration, Computed tomography, Sensors, Radiation oncology, 3D image processing, Image quality, Data acquisition

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Mega-Voltage systems are used in radiation oncology both for external radiation delivery and patient positioning prior to treatment. A pair of portal images compared with digitally reconstructed radiographs is currently the gold standard for positioning but new developments have made possible the use of Mega-Voltage Cone Beam CT for better 3D setup. The non-ideal imaging geometry of the treatment unit has a direct impact on both methods. It led to the use of a reticule attachment as reference for the scale and the isocenter position on the portal images. The reticule has limited precision and occasionally super-imposes anatomical information. As for Cone Beam, the image quality crucially depends on the knowledge of the scan geometry during the acquisition. The reproducibility of the detector position at each angle will affect the image reconstruction and determine how frequently geometrical calibration must be performed. The objectives of this study are to measure the flex of the detector and evaluate its reproducibility. A RID 1640 Perkin Elmer a-Si Flat Panel is installed on a Siemens Primus linear accelerator with a positioner similar the the one used in the Oncor product. Three original methods are used to investigate the behavior in space and time of the imaging system. A reticule and a Plumb Bob tip are placed along the line formed by the isocenter and the source. Their positions projected on the flat panel for different gantry positions are used to calculate the mechanical flex. Projection matrices obtained in a geometrical Cone Beam calibration are also used to quantify the flat panel sagging. Six full sets of data were acquired over a period of 5 months and recorded overall mechanical flexes of 1 and 3 mm for the transversal and longitudinal directions respectively. The absolute magnitude of the flat panel displacement varies slightly with the method used but the discrepancy stays within the laser precision used for alignment. The small standard deviations of the flat panel displacement (< 1 mm) suggest great stability over time and permits the clinical implementation of patient positioning without the reticule. More experiments on the positioner with the complete set of projection matrices need to be performed to characterize the long-term behavior of the system and to determinate how frequently the Cone Beam calibration needs to be done to conserve image quality. Future work will develop a daily QA protocol to detect possible collisions that would bring the Cone Beam imaging system out of geometrical calibration.

Proceedings Article | 20 April 2005 Paper

Soft tissue visualization using a highly efficient megavoltage cone beam CT imaging system

Farhad Ghelmansarai, Ali Bani-Hashemi, Jean Pouliot, Ed Calderon, Paco Hernandez, Matthias Mitschke, Michelle Aubin, Kara Bucci

Proceedings Volume 5745, (2005) https://doi.org/10.1117/12.602148

KEYWORDS: Receptors, Image filtering, Tissues, Digital filtering, X-ray computed tomography, Imaging systems, Signal to noise ratio, Sensors, Photons, Image quality

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Proceedings Article | 3 May 2002 Paper

Electron beam verification with an a-Si flat-panel electronic portal imaging device

Michele Aubin, Bruce Faddegon, Jean Pouliot

Proceedings Volume 4682, (2002) https://doi.org/10.1117/12.465599

KEYWORDS: Electron beams, Photons, Head, Amorphous silicon, Radiotherapy, Electronic components, Electronic imaging, Imaging devices, Sensors, Image quality

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Proceedings Article | 6 May 1992 Paper

Analysis of 3-D images of dental imprints using computer vision

Michele Aubin, Jean Cote, Denis Laurendeau, Denis Poussart

Proceedings Volume 1641, (1992) https://doi.org/10.1117/12.59363

KEYWORDS: Teeth, 3D image processing, Semiconducting wafers, 3D acquisition, Machine vision, Computer vision technology, Absorption, 3D vision, Image analysis, Nonlinear filtering

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