Dr. Kirsten L. Boedeker Profile

Dr. Kirsten L. Boedeker

Senior Manager of Medical Physics

SPIE Involvement:

Author

Proceedings Article | 1 April 2024 Poster + Paper

Validating a simulation tool for use with patient data for evaluation of advanced CT reconstruction

Daniel Shin, Ilmar Hein, Naruomi Akino, Kirsten Boedeker

Proceedings Volume 12925, 129252D (2024) https://doi.org/10.1117/12.3006840

KEYWORDS: Modulation transfer functions, CT reconstruction, Computed tomography, Image quality, Computer simulations, Data acquisition, Deep learning, Sensors, Medical image reconstruction

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Proceedings Article | 7 April 2023 Poster + Paper

Impact of non-Gaussian noise properties, not characterized by the noise power spectrum, on CT noise texture

Daniel Shin, Kirsten Boedeker, L. Oostveen, I. Sechopoulos, C. Abbey

Proceedings Volume 12463, 124632W (2023) https://doi.org/10.1117/12.2654008

KEYWORDS: Reconstruction algorithms, Data acquisition, Computed tomography, CT reconstruction, Image sharpness

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Proceedings Article | 7 April 2023 Presentation + Paper

Task-driven CT image quality optimization for low-contrast lesion detectability with tunable neural networks

Matthew Tivnan, Tzu-Cheng Lee, Ruoqiao Zhang, Kirsten Boedeker, Liang Cai, Jeremias Sulam, J. Webster Stayman

Proceedings Volume 12463, 124631M (2023) https://doi.org/10.1117/12.2653936

KEYWORDS: Computed tomography, Neural networks, Education and training, Image quality, Denoising, CT reconstruction, Deep learning, Performance modeling, 3D modeling, Medical image reconstruction

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Proceedings Article | 3 April 2023 Presentation + Paper

Discriminability of non-Gaussian noise properties in CT

Kirsten Boedeker, Daniel Shin, L. Oostveen, I. Sechopoulos, C. Abbey

Proceedings Volume 12467, 124670W (2023) https://doi.org/10.1117/12.2653990

KEYWORDS: Reconstruction algorithms, Computed tomography, Data acquisition, Image sharpness, Deep learning

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Proceedings Article | 4 April 2022 Poster + Paper

Visibility of noise texture changes in CT images

L. Oostveen, K. Boedeker, D. Shin, C. Abbey, I. Sechopoulos

Proceedings Volume 12035, 120351B (2022) https://doi.org/10.1117/12.2610736

KEYWORDS: Computed tomography, Visibility, Spatial frequencies, Reconstruction algorithms, Medicine, Fluctuations and noise

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Proceedings Article | 15 September 2008 Paper

Dynamic volume CT: the next revolution in clinical CT

Kirsten Boedeker, Rich Mather

Proceedings Volume 7078, 707808 (2008) https://doi.org/10.1117/12.795212

KEYWORDS: Computed tomography, Brain, X-ray computed tomography, Scanners, Sensors, Heart, Image quality, Neuroimaging, Reconstruction algorithms, Blood

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Proceedings Article | 3 April 2008 Paper

Effect of spatial direction and acquisition techniques on noise power spectra in x-ray CT

Kirsten Boedeker, Alexander Zamyatin, Xiaofei Wang

Proceedings Volume 6913, 69134X (2008) https://doi.org/10.1117/12.772960

KEYWORDS: Spatial frequencies, Optical filtering, Reconstruction algorithms, Signal to noise ratio, X-rays, Medical imaging, X-ray computed tomography, 3D image processing, Interference (communication), Fourier transforms

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Proceedings Article | 17 March 2006 Paper

The influence of CT dose and reconstruction parameters on automated detection of small pulmonary nodules

Robert Ochs, Erin Angel, Kirsten Boedeker, Iva Petkovska, Christoph Panknin, Jonathan Goldin, Denise Aberle, Michael McNitt-Gray, Matthew Brown

Proceedings Volume 6144, 61445W (2006) https://doi.org/10.1117/12.658663

KEYWORDS: CAD systems, Computer aided diagnosis and therapy, Computer aided design, Prototyping, Data acquisition, Signal to noise ratio, Glasses, Computed tomography, Lung, Databases

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Proceedings Article | 20 April 2005 Paper

Tradeoffs in noise, resolution, and dose with reconstruction filter selection in lung nodule detection in CT

Kirsten Boedeker, Michael McNitt-Gray

Proceedings Volume 5745, (2005) https://doi.org/10.1117/12.596998

KEYWORDS: Signal to noise ratio, Optical spheres, Image filtering, Modulation transfer functions, Optical filters, Electronic filtering, Interference (communication), Lung, Computer aided design, Spatial frequencies

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Proceedings Article | 5 June 2003 Paper

Effects of collimation and reconstruction algorithm on noise using low-dose lung cancer screening CT techniques

Kirsten Boedeker, Chris Cagnon, Michael McNitt-Gray

Proceedings Volume 5030, (2003) https://doi.org/10.1117/12.480382

KEYWORDS: Reconstruction algorithms, Collimation, Lung cancer, Bone, Computed tomography, Lung, Spatial resolution, Sensors, Image filtering, Scanners

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Proceedings Article | 2 May 2003 Paper

Reconstruction algorithm effects on density mask score and volume in patients with low amounts of emphysema

Kirsten Boedeker, Michael McNitt-Gray, David Gjertson, Sarah Rogers, Dao Truong, Matthew Brown, Jonathan Goldin

Proceedings Volume 5031, (2003) https://doi.org/10.1117/12.480685

KEYWORDS: Reconstruction algorithms, Lung, Emphysema, Modulation transfer functions, Computed tomography, Spatial frequencies, Scanners, Imaging systems, Image filtering, Bone

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Showing 5 of 11 publications

Conference Committee Involvement (8)

Physics of Medical Imaging

17 February 2019 | San Diego, California, United States

Physics of Medical Imaging

12 February 2018 | Houston, Texas, United States

Physics of Medical Imaging

13 February 2017 | Orlando, Florida, United States

Physics of Medical Imaging Posters

13 February 2017 | Orlando, FL, United States

Physics of Medical Imaging

28 February 2016 | San Diego, California, United States

Showing 5 of 8 Conference Committees

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