Výsledky vyhledávání - "Unterberg‐Buchwald, Christina"

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Self-Supervised Learning for Improved Calibrationless Radial MRI with NLINV-Net

Autor: Blumenthal, Moritz, Fantinato, Chiara, Unterberg-Buchwald, Christina, Haltmeier, Markus, Wang, Xiaoqing, Uecker, Martin

Purpose: To develop a neural network architecture for improved calibrationless reconstruction of radial data when no ground truth is available for training. Methods: NLINV-Net is a model-based neural network architecture that directly estimates image

Externí odkaz: http://arxiv.org/abs/2402.06550

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Assessment of Deep Learning Segmentation for Real-Time Free-Breathing Cardiac Magnetic Resonance Imaging at Rest and Under Exercise Stress

Autor: Schilling, Martin, Unterberg-Buchwald, Christina, Lotz, Joachim, Uecker, Martin

Publikováno v: Scientific Reports 2024;14:3754

In recent years, a variety of deep learning networks for cardiac MRI (CMR) segmentation have been developed and analyzed. However, nearly all of them are focused on cine CMR under breathold. In this work, accuracy of deep learning methods is assessed

Externí odkaz: http://arxiv.org/abs/2311.14049

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Free-Breathing Myocardial T1 Mapping using Inversion-Recovery Radial FLASH and Motion-Resolved Model-Based Reconstruction

Autor: Wang, Xiaoqing, Rosenzweig, Sebastian, Roeloffs, Volkert, Blumenthal, Moritz, Scholand, Nick, Tan, Zhengguo, Holme, H. Christian M., Unterberg-Buchwald, Christina, Hinkel, Rabea, Uecker, Martin

Publikováno v: Magnetic Resonance in Medicine 2023;89:1368-1384

Purpose: To develop a free-breathing myocardial T1 mapping technique using inversion-recovery (IR) radial fast low-angle shot (FLASH) and calibrationless motion-resolved model-based reconstruction. Methods: Free-running (free-breathing, retrospective

Externí odkaz: http://arxiv.org/abs/2111.09398

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Free-Breathing Liver Fat, $R_2^*$ and $B_0$ Field Mapping Using Multi-Echo Radial FLASH and Regularized Model-based Reconstruction

Autor: Tan, Zhengguo, Unterberg-Buchwald, Christina, Blumenthal, Moritz, Scholand, Nick, Schaten, Philip, Holme, Christian, Wang, Xiaoqing, Raddatz, Dirk, Uecker, Martin

Publikováno v: IEEE Trans Med Imaging 2023;42:1374-1387

This work introduced a stack-of-radial multi-echo asymmetric-echo MRI sequence for free-breathing liver volumetric acquisition. Regularized model-based reconstruction was implemented in Berkeley Advanced Reconstruction Toolbox (BART) to jointly estim

Externí odkaz: http://arxiv.org/abs/2101.02788

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Akademický článek

Assessment of deep learning segmentation for real-time free-breathing cardiac magnetic resonance imaging at rest and under exercise stress.

Autor: Schilling, Martin¹ (AUTHOR), Unterberg-Buchwald, Christina^1,2,3 (AUTHOR), Lotz, Joachim¹ (AUTHOR), Uecker, Martin^1,2,4 (AUTHOR) uecker@tugraz.at

Publikováno v: Scientific Reports. 2/15/2024, Vol. 14 Issue 1, p1-10. 10p.