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30 results on '"Messner, Alina"'

1. Disease severity prognostication in primary sclerosing cholangitis: a validation of the Anali scores and comparison with the potential functional stricture

Author

Poetter-Lang, Sarah, Ba-Ssalamah, Ahmed, Messner, Alina, Bastati, Nina, Ambros, Raphael, Kristic, Antonia, Kittinger, Jakob, Pochepnia, Svitlana, Ba-Ssalamah, Sami A., Hodge, Jacqueline. C., Halilbasic, Emina, Venkatesh, Sudhakar K., Kartalis, Nikolaos, Ringe, Kristina, Arrivé, Lionel, and Trauner, Michael

Published
2024
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3. Diagnosis of functional strictures in patients with primary sclerosing cholangitis using hepatobiliary contrast-enhanced MRI: a proof-of-concept study

Author

Poetter-Lang, Sarah, Messner, Alina, Bastati, Nina, Ringe, Kristina I., Ronot, Maxime, Venkatesh, Sudhakar K., Ambros, Raphael, Kristic, Antonia, Korajac, Aida, Dovjak, Gregor, Zalaudek, Martin, Hodge, Jacqueline. C., Schramm, Christoph, Halilbasic, Emina, Trauner, Michael, and Ba-Ssalamah, Ahmed

Published
2023
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4. Correlation of histologic, imaging, and artificial intelligence features in NAFLD patients, derived from Gd-EOB-DTPA-enhanced MRI: a proof-of-concept study

Author

Bastati, Nina, Perkonigg, Matthias, Sobotka, Daniel, Poetter-Lang, Sarah, Fragner, Romana, Beer, Andrea, Messner, Alina, Watzenboeck, Martin, Pochepnia, Svitlana, Kittinger, Jakob, Herold, Alexander, Kristic, Antonia, Hodge, Jacqueline C., Traussnig, Stefan, Trauner, Michael, Ba-Ssalamah, Ahmed, and Langs, Georg

Published
2023
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12. Influence of dilution on arterial-phase artifacts and signal intensity on gadoxetic acid–enhanced liver MRI

Author

Poetter-Lang, Sarah, primary, Dovjak, Gregor O., additional, Messner, Alina, additional, Ambros, Raphael, additional, Polanec, Stephan H., additional, Baltzer, Pascal A. T., additional, Kristic, Antonia, additional, Herold, Alexander, additional, Hodge, Jacqueline C., additional, Weber, Michael, additional, Bastati, Nina, additional, and Ba-Ssalamah, Ahmed, additional

Published
2022
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14. Modern imaging of cholangitis

Author

Pötter-Lang, Sarah, primary, Ba-Ssalamah, Ahmed, additional, Bastati, Nina, additional, Messner, Alina, additional, Kristic, Antonia, additional, Ambros, Raphael, additional, Herold, Alexander, additional, Hodge, Jacqueline C., additional, and Trauner, Michael, additional

Published
2021
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15. Imaging of inflammatory disease of the pancreas

Author

Bastati, Nina, primary, Kristic, Antonia, additional, Poetter-Lang, Sarah, additional, Messner, Alina, additional, Herold, Alexander, additional, Hodge, Jacqueline C, additional, Schindl, Martin, additional, and Ba-Ssalamah, Ahmed, additional

Published
2021
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17. Quantification of intrinsic optical signals in the outer human retina using optical coherence tomography.

Author

Messner, Alina, Aranha dos Santos, Valentin, Stegmann, Hannes, Puchner, Stefan, Schmidl, Doreen, Leitgeb, Rainer, Schmetterer, Leopold, and Werkmeister, René M.

Subjects
*RETINA, *RHODOPSIN, *OPTICAL coherence tomography, *GAUSSIAN sums, *PHOTORECEPTORS
Abstract

Intrinsic optical signals constitute a noninvasive biomarker promising the objective assessment of retinal photoreceptor function. We employed a commercial optical coherence tomography (OCT) system and an OCT signal model for evaluation of optical path length (OPL) changes in the temporal outer retina of five healthy subjects during light adaptation. Data were acquired at 30 time points, in ambient light and during long duration stimulation with white light, and analyzed, employing a signal model based on the sum of seven Gaussian curves corresponding to all relevant anatomical structures of the outer retina. During light stimulation, mean OPL between rod outer segment tips (ROST) and the retinal pigment epithelium (RPE) decreased by 21.4 ± 3.5%. Further, OPL between the external‐limiting membrane (ELM) and the RPE decreased by 5.2 ± 0.9% versus baseline, while OPL between ELM and ROST showed an initial decrease by 2.1 ± 1.6% versus baseline and, thereafter, increased by 2.8 ± 2.1% versus baseline. Thus, the presented approach allowed for assess to dynamic changes in the outer retina in response to light. The change in the subretinal space occurring in the context of light adaptation could be measured using a standard OCT platform and a dedicated signal model. [ABSTRACT FROM AUTHOR]

Published
2022
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19. Characterization of dry eye disease in a mouse model by optical coherence tomography and fluorescein staining

Author

Messner, Alina, primary, Fischak, Corinna, additional, Pfister, Martin, additional, Schützenberger, Kornelia, additional, Garreis, Fabian, additional, Paulsen, Friedrich, additional, Stegmann, Hannes, additional, Aranha dos Santos, Valentin, additional, Garhöfer, Gerhard, additional, Schmetterer, Leopold, additional, and Werkmeister, René M., additional

Published
2019
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22. Automated segmentation of dermal fillers in OCT images of mice using convolutional neural networks

Author

Pfister, Martin, primary, Schützenberger, Kornelia, additional, Pfeiffenberger, Ulrike, additional, Messner, Alina, additional, Chen, Zhe, additional, Santos, Valentin Aranha dos, additional, Puchner, Stefan, additional, Garhöfer, Gerhard, additional, Schmetterer, Leopold, additional, Gröschl, Martin, additional, and Werkmeister, René M., additional

Published
2019
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26. Sodium MR imaging of the lumbar intervertebral disk at 7 T: correlation with T2 mapping and modified Pfirrmann score at 3 T - preliminary results

Author

Noebauer-Huhmann, Iris-Melanie, Juras, Vladimir, Pfirrmann, Christian W A, Szomolanyi, Pavol, Zbyn, Stefan, Messner, Alina, Wimmer, Johannes, Weber, Michael, Friedrich, Klaus M, Stelzeneder, David, Trattnig, Siegfried, and University of Zurich

Subjects
2741 Radiology, Nuclear Medicine and Imaging, 610 Medicine & health, 10046 Balgrist University Hospital, Swiss Spinal Cord Injury Center
Published
2012

27. Sodium MR Imaging of the Lumbar Intervertebral Disk at 7 T: Correlation with T2 Mapping and Modified Pfirrmann Score at 3 T—Preliminary Results

Author

Noebauer-Huhmann, Iris-Melanie, primary, Juras, Vladimir, additional, Pfirrmann, Christian W. A., additional, Szomolanyi, Pavol, additional, Zbyn, Stefan, additional, Messner, Alina, additional, Wimmer, Johannes, additional, Weber, Michael, additional, Friedrich, Klaus M., additional, Stelzeneder, David, additional, and Trattnig, Siegfried, additional

Published
2012
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28. Super-resolved thickness maps of thin film phantoms and in vivo visualization of tear film lipid layer using OCT

Author

Santos, Valentin Aranha dos, Schmetterer, Leopold, Triggs, Graham J., Leitgeb, Rainer A., Gröschl, Martin, Messner, Alina, Schmidl, Doreen, Garhofer, Gerhard, Aschinger, Gerold, and Werkmeister, René M.

Abstract

In optical coherence tomography (OCT), the axial resolution is directly linked to the coherence length of the employed light source. It is currently unclear if OCT allows measuring thicknesses below its axial resolution value. To investigate spectral-domain OCT imaging in the super-resolution regime, we derived a signal model and compared it with the experiment. Several island thin film samples of known refractive indices and thicknesses in the range 46 – 163 nm were fabricated and imaged. Reference thickness measurements were performed using a commercial atomic force microscope. In vivo measurements of the tear film were performed in 4 healthy subjects. Our results show that quantitative super-resolved thickness measurement can be performed using OCT. In addition, we report repeatable tear film lipid layer visualization. Our results provide a novel interpretation of the OCT axial resolution limit and open a perspective to deeper extraction of the information hidden in the coherence volume.

Published
2016

29. CorneaNet: fast segmentation of cornea OCT scans of healthy and keratoconic eyes using deep learning.

Author

Dos Santos VA, Schmetterer L, Stegmann H, Pfister M, Messner A, Schmidinger G, Garhofer G, and Werkmeister RM

Abstract

Deep learning has dramatically improved object recognition, speech recognition, medical image analysis and many other fields. Optical coherence tomography (OCT) has become a standard of care imaging modality for ophthalmology. We asked whether deep learning could be used to segment cornea OCT images. Using a custom-built ultrahigh-resolution OCT system, we scanned 72 healthy eyes and 70 keratoconic eyes. In total, 20,160 images were labeled and used for the training in a supervised learning approach. A custom neural network architecture called CorneaNet was designed and trained. Our results show that CorneaNet is able to segment both healthy and keratoconus images with high accuracy (validation accuracy: 99.56%). Thickness maps of the three main corneal layers (epithelium, Bowman's layer and stroma) were generated both in healthy subjects and subjects suffering from keratoconus. CorneaNet is more than 50 times faster than our previous algorithm. Our results show that deep learning algorithms can be used for OCT image segmentation and could be applied in various clinical settings. In particular, CorneaNet could be used for early detection of keratoconus and more generally to study other diseases altering corneal morphology., Competing Interests: The authors declare that there are no conflicts of interest related to this article.

Published
2019
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30. Super-resolved thickness maps of thin film phantoms and in vivo visualization of tear film lipid layer using OCT.

Author

Dos Santos VA, Schmetterer L, Triggs GJ, Leitgeb RA, Gröschl M, Messner A, Schmidl D, Garhofer G, Aschinger G, and Werkmeister RM

Abstract

In optical coherence tomography (OCT), the axial resolution is directly linked to the coherence length of the employed light source. It is currently unclear if OCT allows measuring thicknesses below its axial resolution value. To investigate spectral-domain OCT imaging in the super-resolution regime, we derived a signal model and compared it with the experiment. Several island thin film samples of known refractive indices and thicknesses in the range 46 - 163 nm were fabricated and imaged. Reference thickness measurements were performed using a commercial atomic force microscope. In vivo measurements of the tear film were performed in 4 healthy subjects. Our results show that quantitative super-resolved thickness measurement can be performed using OCT. In addition, we report repeatable tear film lipid layer visualization. Our results provide a novel interpretation of the OCT axial resolution limit and open a perspective to deeper extraction of the information hidden in the coherence volume.

Published
2016
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