Dr. Jiachen Zhuo Profile

Dr. Jiachen Zhuo

at Univ of Maryland School of Medicine

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Author

Publications (10)

Proceedings Article | 1 May 2024 Poster + Paper

Speech motion anomaly detection via cross-modal translation of 4D motion fields from tagged MRI

Xiaofeng Liu, Fangxu Xing, Jiachen Zhuo, Maureen Stone, Jerry Prince, Georges El Fakhri, Jonghye Woo

Proceedings Volume 12926, 129262W (2024) https://doi.org/10.1117/12.3006874

KEYWORDS: Education and training, 3D modeling, Magnetic resonance imaging, Acoustics, Tongue, Motion detection, Data modeling, Motion models, Performance modeling, Diseases and disorders

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Proceedings Article | 2 April 2024 Presentation + Paper

Is registering raw tagged-MR enough for strain estimation in the era of deep learning? (Image Processing Best Student Paper Award)

Zhangxing Bian, Ahmed Alshareef, Shuwen Wei, Junyu Chen, Yuli Wang, Jonghye Woo, Dzung Pham, Jiachen Zhuo, Aaron Carass, Jerry Prince

Proceedings Volume 12926, 129260A (2024) https://doi.org/10.1117/12.3006906

KEYWORDS: Deformation, Anatomy, Magnetic resonance imaging, Deep learning, Motion estimation, Motion measurement, Image registration

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Proceedings Article | 2 April 2024 Presentation + Paper

Revisiting registration-based image synthesis: a focus on unsupervised MR image synthesis

Savannah Hays, Lianrui Zuo, Yihao Liu, Anqi Feng, Jiachen Zhuo, Jerry Prince, Aaron Carass

Proceedings Volume 12926, 1292612 (2024) https://doi.org/10.1117/12.3006425

KEYWORDS: Education and training, Image segmentation, Magnetic resonance imaging, Deformation, Anatomy, Image registration, Image visualization, Image fusion, Visualization, Image processing

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Proceedings Article | 3 April 2023 Poster + Paper

Segmenting thalamic nuclei from manifold projections of multi-contrast MRI

Chang Yan, Muhan Shao, Zhangxing Bian, Anqi Feng, Yuan Xue, Jiachen Zhuo, Rao Gullapalli, Aaron Carass, Jerry Prince

Proceedings Volume 12464, 1246434 (2023) https://doi.org/10.1117/12.2654405

KEYWORDS: Thalamus, Magnetic resonance imaging, Diffusion tensor imaging

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Proceedings Article | 3 April 2023 Poster + Paper

Joint synthesis of WMn MPRAGE and parameter maps using deep learning and an imaging equation

Pouria Tohidi, Shuo Han, Lianrui Zuo, Jiachen Zhuo, Steven Roys, Aaron Carass, Rao Gullapalli, Jerry Prince

Proceedings Volume 12464, 124642F (2023) https://doi.org/10.1117/12.2653988

KEYWORDS: Image segmentation, Magnetic resonance imaging, Voxels, Deep learning, Thalamus, White matter, Data modeling, Visualization, Realistic image synthesis

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Proceedings Article | 3 April 2023 Poster + Paper

New starting point registration method for tagged MRI tongue motion estimation

Jinglun Yu, Muhan Shao, Zhangxing Bian, Xiao Liang, Jiachen Zhuo, Maureen Stone, Jerry Prince

Proceedings Volume 12464, 1246429 (2023) https://doi.org/10.1117/12.2653913

KEYWORDS: Deformation, Motion estimation, Tongue, Magnetic resonance imaging, Image registration, 3D image processing, Algorithm development

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Proceedings Article | 4 April 2022 Presentation + Paper

Evaluating the impact of MR image harmonization on thalamus deep network segmentation

Muhan Shao, Lianrui Zuo, Aaron Carass, Jiachen Zhuo, Rao Gullapalli, Jerry Prince

Proceedings Volume 12032, 120320H (2022) https://doi.org/10.1117/12.2613159

KEYWORDS: Image segmentation, Thalamus, Magnetic resonance imaging, Brain, Neuroimaging, Image processing algorithms and systems, Visualization, Diffusion tensor imaging

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Medical image segmentation is one of the core tasks of medical image analysis. Automatic segmentation of brain magnetic resonance images (MRIs) can be used to visualize and track changes of the brain’s anatomical structures that may occur due to normal aging or disease. Machine learning techniques are widely used in automatic structure segmentation. However, the contrast variation between the training and testing data makes it difficult for segmentation algorithms to generate consistent results. To address this problem, an image–to– image translation technique called MR image harmonization can be used to match the contrast between different data sets. It is important for the harmonization to transform image intensity while maintaining the underlying anatomy. In this paper, we present a 3D U-Net algorithm to segment the thalamus from multiple MR image modalities and investigate the impact of harmonization on the segmentation algorithm. Manual delineations of thalamic nuclei on two data sets are available. However, we aim to analyze the thalamus in another large data set where ground truth labels are lacking. We trained two segmentation networks, one with unharmonized images and the other with harmonized images, on one data set with manual labels, and compared their performances on the other data set with manual labels. These two data groups were diagnosed with two brain disorders and were acquired with similar imaging protocols. The harmonization target is the large data set without manual labels, which also has a different imaging protocol. The networks trained on unharmonized and harmonized data showed no significant difference when evaluating on the other data set; demonstrating that image harmonization can maintain the anatomy and does not affect the segmentation task. The two networks were evaluated on the harmonization target data set and the network trained on harmonized data showed significant improvement over the network trained on unharmonized data. Therefore, the network trained on harmonized data provides the potential to process large amounts of data from other sites, even in the absence of site-specific training data.

Proceedings Article | 15 February 2021 Presentation + Paper

Reconstruction and refinement of crossing muscle fibers in the human tongue

Muhan Shao, Arnold Gomez, Jiachen Zhuo, Xiao Liang, Maureen Stone, Aaron Carass, Jerry Prince

Proceedings Volume 11596, 115961K (2021) https://doi.org/10.1117/12.2582287

KEYWORDS: Tongue, Diffusion weighted imaging, Spherical lenses, High angular resolution diffusion imaging, Convolutional neural networks, Brain, Anisotropic diffusion

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Proceedings Article | 15 February 2021 Poster + Presentation

Thalamus segmentation using convolutional neural networks

Shangxian Wang, Shuo Han, Aaron Carass, Jiachen Zhuo, Steven Roys, Rao Gullapalli, Li Jiang, Jerry Prince

Proceedings Volume 11596, 1159634 (2021) https://doi.org/10.1117/12.2582276

KEYWORDS: Image segmentation, Thalamus, Convolutional neural networks, Medical imaging, Visualization, Traumatic brain injury, Super resolution, Magnetism, Magnetic resonance imaging, Image processing algorithms and systems

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Proceedings Article | 15 February 2021 Presentation + Paper

Dynamic palatogram generation from Cine MRI for normalized speech assessment

Muhan Shao, Aaron Carass, Jiachen Zhuo, Xiao Liang, Dima Ghunaim, Maureen Stone, Jerry Prince

Proceedings Volume 11596, 115960T (2021) https://doi.org/10.1117/12.2581959

KEYWORDS: Magnetic resonance imaging, Image segmentation, Tongue, Teeth

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Showing 5 of 10 publications

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