Dr. Michel Koole Profile

Dr. Michel Koole

at KU Leuven

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Author

Publications (8)

Proceedings Article | 15 February 2021 Presentation + Paper

Improving T1w MRI-based brain tumor segmentation using cross-modal distillation

Masoomeh Rahimpour, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Karolien Goffin, Michel Koole

Proceedings Volume 11596, 115960Z (2021) https://doi.org/10.1117/12.2581067

KEYWORDS: Tumors, Brain, Magnetic resonance imaging

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Proceedings Article | 5 June 2003 Paper

Theoretical LOR model incorporating spatial uncertainty in continuous detector PET

Steven Staelens, Yves D'Asseler, Michel Koole, Stefaan Vandenberghe, Ignace Lemahieu, Rik Van de Walle

Proceedings Volume 5030, (2003) https://doi.org/10.1117/12.480220

KEYWORDS: Sensors, Head, Positron emission tomography, Crystals, Reconstruction algorithms, 3D modeling, Convolution, Numerical integration, Photons, Cameras

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Proceedings Article | 15 May 2003 Paper

Correction for partial volume effects in brain perfusion ECT imaging

Michel Koole, Steven Staelens, Rik Van de Walle, Ignace Lemahieu

Proceedings Volume 5032, (2003) https://doi.org/10.1117/12.481885

KEYWORDS: Tissues, Brain, Neuroimaging, Single photon emission computed tomography, Image segmentation, Image resolution, Brain mapping, Positron emission tomography, Error analysis, Image processing

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Proceedings Article | 3 July 2001 Paper

Template-based scatter correction in clinical brain perfusion SPECT

Michel Koole, Rik Van de Walle, Koen Van Laere, Luc Bouwens, Yves D'Asseler, Stefaan Vandenberghe, Ignace Lemahieu, Rudi Dierckx

Proceedings Volume 4322, (2001) https://doi.org/10.1117/12.431167

KEYWORDS: Brain, Photons, Data acquisition, Single photon emission computed tomography, Cameras, Imaging systems, Neuroimaging, Monte Carlo methods, Data corrections, Signal attenuation

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Proceedings Article | 3 July 2001 Paper

Evaluation of reconstruction algorithms for triple-head coincidence imaging by hot sphere detectability

Stefaan Vandenberghe, Yves D'Asseler, Chris Matthews, Michel Koole, Rik Van de Walle, Ignace Lemahieu, Rudi Dierckx

Proceedings Volume 4322, (2001) https://doi.org/10.1117/12.431162

KEYWORDS: Optical spheres, Reconstruction algorithms, Cameras, Head, Sensors, Imaging systems, Computer simulations, Positron emission tomography, Device simulation, Tumors

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Proceedings Article | 28 June 2001 Paper

Separability of three-dimensional geometric sensitivity correction in triple-headed gamma camera systems

Yves D'Asseler, Stefaan Vandenberghe, Michel Koole, Luc Bouwens, Rik Van de Walle, Ignace Lemahieu, Rudi Dierckx

Proceedings Volume 4320, (2001) https://doi.org/10.1117/12.430930

KEYWORDS: Cameras, Sensors, Positron emission tomography, Head, Imaging systems, Photons, Optical filters, 3D image processing, Scanners, 3D acquisition

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Gamma camera PET (Positron Emission Tomography) offers a low-cost alternative for dedicated PET scanners. However, sensitivity and count rate capabilities of dual-headed gamma cameras with PET capabilities are still limited compared to full-ring dedicated PET scanners. To improve the geometric sensitivity of these systems, triple-headed gamma camera PET has been proposed. As is the case for dual-headed PET, the sensitivity of these devices varies with the position within the field of view (FOV) of the camera. This variation should be corrected for when reconstructing the images. In earlier work, we calculated the two-dimensional sensitivity variation for any triple-headed configuration. This can be used to correct the data if the acquisition is done using axial filters, which effectively limit the axial angle of incidence of the photons, comparable to 2D dedicated PET. More recently, these results were extended to a fully 3D calculation of the geometric sensitivity variation. In this work, the results of these calculations are compared to the standard approach to correct for 3D geometric sensitivity variation. Current implementations of triple-headed gamma camera PET use two independent corrections to account for three-dimensional sensitivity variations: one in the transaxial direction and one in the axial direction. This approach implicitly assumes that the actual variation is separable in two independent components. We recently derived a theoretical expression for the 3D sensitivity variation, and in this work we investigate the separability of our result. To investigate the separability of the sensitivity variations, an axial and transaxial profile through the calculated variation was taken, and these two were multiplied, thus creating a separable function. If the variation were perfectly separable, this function would be identical to the calculated variation. As a measure of separability, we calculated the percentual deviation of the separable function to the original variation. We investigated the separability for several camera configurations and rotation radii. We found that, for all configurations, the variation is not separable , and becomes less separable as the rotation radius tends to smaller values. This indicates that in this case, our sensitivity correction will give better results than the separable correction now applied.

Proceedings Article | 6 June 2000 Paper

Iterative list mode reconstruction for coincidence data of gamma camera

Stefaan Vandenberghe, Yves D'Asseler, Michel Koole, Luc Bouwens, Rik Van de Walle, Ignace Lemahieu, Rudi Dierckx

Proceedings Volume 3979, (2000) https://doi.org/10.1117/12.387667

KEYWORDS: Reconstruction algorithms, Cameras, Data acquisition, 3D acquisition, Expectation maximization algorithms, Sensors, Head, Photons, Positron emission tomography, Collimation

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Proceedings Article | 25 April 2000 Paper

Geometric sensitivity calculation of three-headed gamma-camera-based coincidence detection

Yves D'Asseler, Stefaan Vandenberghe, Michel Koole, Luc Bouwens, Rik Van de Walle, Rudi Dierckx, Ignace Lemahieu

Proceedings Volume 3977, (2000) https://doi.org/10.1117/12.384530

KEYWORDS: Sensors, Head, Cameras, Positron emission tomography, Imaging systems, Single photon emission computed tomography, Chlorine, Photons, 3D image reconstruction, Oncology

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Showing 5 of 8 publications

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