Prof. Maria Zankl Profile

Prof. Maria Zankl

at Helmholtz Zentrum München GmbH

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Author

Publications (10)

SPIE Journal Paper | 30 March 2017

Anthropomorphic dual-lattice voxel models for optimizing image quality and dose

Nina Petoussi-Henss, Helmut Schlattl, Janine Becker, Matthias Greiter, Maria Zankl, Christoph Hoeschen

JMI, Vol. 4, Issue 01, 013509, (March 2017) https://doi.org/10.1117/12.10.1117/1.JMI.4.1.013509

KEYWORDS: Lung, Monte Carlo methods, Image quality, Image resolution, Phase modulation, Computed tomography, Tissues, 3D modeling, Natural surfaces, Breast

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Proceedings Article | 19 March 2014 Paper

Construction of anthropomorphic hybrid, dual-lattice voxel models for optimizing image quality and dose in radiography

Nina Petoussi-Henss, Janine Becker, Matthias Greiter, Helmut Schlattl, Maria Zankl, Christoph Hoeschen

Proceedings Volume 9033, 90331W (2014) https://doi.org/10.1117/12.2043437

KEYWORDS: Lung, Monte Carlo methods, Image quality, Radiography, Phase modulation, 3D modeling, Image resolution, Mathematical modeling, Natural surfaces, Image segmentation

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Proceedings Article | 3 March 2012 Paper

CTDIvol: a suitable normalization for CT dose conversion coefficients at different tube voltages?

Helmut Schlattl, Maria Zankl, Christoph Hoeschen

Proceedings Volume 8313, 83131P (2012) https://doi.org/10.1117/12.910905

KEYWORDS: Collimation, Computed tomography, Monte Carlo methods, Scanners, Photons, Physics, Testis, Medical research, X-ray computed tomography, Image segmentation

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Proceedings Article | 25 March 2011 Paper

DICOM structured report to track patient's radiation dose to organs from abdominal CT exam

Craig Morioka, Adam Turner, Michael McNitt-Gray, Maria Zankl, Frank Meng, Suzie El-Saden

Proceedings Volume 7967, 79670X (2011) https://doi.org/10.1117/12.878277

KEYWORDS: Computed tomography, Radiology, X-ray computed tomography, Scanners, Databases, Stomach, Liver, Colon, Picture Archiving and Communication System, Bladder

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Proceedings Article | 17 March 2011 Paper

How do we measure dose and estimate risk?

Christoph Hoeschen, Dieter Regulla, Helmut Schlattl, Nina Petoussi-Henss, Wei Bo Li, Maria Zankl

Proceedings Volume 7961, 79612F (2011) https://doi.org/10.1117/12.882731

KEYWORDS: Medical imaging, Ionizing radiation, Computed tomography, Tissues, Data modeling, Medical diagnostics, Monte Carlo methods, Sensors, X-ray computed tomography, Particles

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Proceedings Article | 16 March 2011 Paper

Uncertainties of organ absorbed doses to patients from 18f-choline

W. Li, T. Janzen, M. Zankl, A. Giussani, C. Hoeschen

Proceedings Volume 7961, 796129 (2011) https://doi.org/10.1117/12.877990

KEYWORDS: Blood, Liver, Kidney, Statistical modeling, Positron emission tomography, Bladder, Data modeling, Radioisotopes, Spleen, Nuclear medicine

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Radiation doses of radiopharmaceuticals to patients in nuclear medicine are, as the standard method, estimated by the administered activity, medical imaging (e.g. PET imaging), compartmental modeling and Monte Carlo simulation of radiation with reference digital human phantoms. However, in each of the contributing terms, individual uncertainty due to measurement techniques, patient variability and computation methods may propagate to the uncertainties of the calculated organ doses to the individual patient. To evaluate the overall uncertainties and the quality assurance of internal absorbed doses, a method was developed within the framework of the MADEIRA Project (Minimizing Activity and Dose with Enhanced Image quality by Radiopharmaceutical Administrations) to quantitatively analyze the uncertainties in each component of the organ absorbed doses after administration of ¹⁸F-choline to prostate cancer patients undergoing nuclear medicine diagnostics. First, on the basis of the organ PET and CT images of the patients as well as blood and urine samples, a model structure of ¹⁸F-choline was developed and the uncertainties of the model parameters were determined. Second, the model parameter values were sampled and biokinetic modeling using these sampled parameter values were performed. Third, the uncertainties of the new specific absorbed fraction (SAF) values derived with different phantoms representing individual patients were presented. Finally, the uncertainties of absorbed doses to the patients were calculated by applying the ICRP/ICRU adult male reference computational phantom. In addition to the uncertainty analysis, the sensitivity of the model parameters on the organ PET images and absorbed doses was indicated by coupling the model input and output using regression and partial correlation analysis. The results showed that the uncertainty factors of absorbed dose to patients are in most cases less than a factor of 2 without taking into account the uncertainties caused by the variability and uncertainty of individual human phantoms. The sensitivity study showed that the metabolic transfer parameter from the blood to soft tissues has a strong influence on blood sample collection from the beginning until 500 min. post administration; the transfer pathways between blood and liver impact strongly the liver imaging during the time course. The results of this study suggest that organ image acquisition of liver and kidneys after 100 min. as well as blood and urine sample collection are necessary for the reduction of uncertainties of absorbed dose estimates to patients.

Proceedings Article | 9 March 2010 Paper

Compartmental model of [sup]18[/sup]F-choline

T. Janzen, F. Tavola, A. Giussani, M. Cantone, H. Uusijärvi, S. Mattsson, M. Zankl, N. Petoussi-Henß, C. Hoeschen

Proceedings Volume 7626, 76261E (2010) https://doi.org/10.1117/12.844219

KEYWORDS: Data modeling, Blood, Bladder, Positron emission tomography, Liver, Kidney, Spleen, Radioisotopes, Tissues, Tumor growth modeling

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Proceedings Article | 25 March 2008 Paper

Voxel models representing the male and female ICRP reference adult: a dosimetric tool for medical imaging

M. Zankl, H. Schlattl, J. Becker, N. Petoussi-Henss, C. Hoeschen

Proceedings Volume 6913, 69130X (2008) https://doi.org/10.1117/12.770266

KEYWORDS: Bone, Tissues, Data modeling, Medical imaging, Image quality, Monte Carlo methods, Diagnostics, Mathematical modeling, Lung, Colon

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Proceedings Article | 20 April 2005 Paper

Measuring and reconstructing high-resolution high-contrast 3D data of a breast specimen for numerical simulations

Oleg Tischenko, Christoph Hoeschen, Maria Zankl

Proceedings Volume 5745, (2005) https://doi.org/10.1117/12.595839

KEYWORDS: Breast, Sensors, Absorption, X-rays, Data modeling, Numerical simulations, Image processing, Tissues, 3D image reconstruction, Mammography

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Proceedings Article | 26 June 2001 Paper

Influence of the characteristic curve on the clinical image quality and patient absorbed dose in lumbar spine radiography

Anders Tingberg, Clemens Herrmann, Birgitta Lanhede, Anja Almen, Saron Mattsson, Werner Panzer, Jack Besjakov, Lars Mansson, Susanne Kheddache, Maria Zankl

Proceedings Volume 4324, (2001) https://doi.org/10.1117/12.431190

KEYWORDS: Image quality, Radiography, Spine, Image analysis, Visualization, Visual analytics, Diagnostics, Image quality standards, Absorbance, Digital image processing

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Showing 5 of 10 publications

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