News/2024
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2024
August
- Carlos Rivas presented his REU project titled Automatic unique identification of multiple sclerosis lesions from MR images.
July
- Brain Biomechanics Imaging Resources (BBIR) now has over 150 datasets available for download.
- 50 subjects from the Henry Jackson Foundation, imaged with tagged magnetic resonance.
- 61 subjects from the University of Delaware, imaged with high resolution magnetic resonance elastography at multiple frequencies (30Hz, 50Hz, 70Hz).
- 52 subjects from Washington University in St. Louis, imaged with magnetic resonance elastography at multiple frequencies (20Hz, 30Hz, 50Hz, 70Hz, 90Hz).
- All data includes structural magnetic resonance images (T1-w, T2-w) and diffusion weighted images.
- The structural images have been processed with SLANT-MACRUISE and the diffusion images with TORTOISE.
- Site information and subject details can be found in the available BBIR documents.
- Additional information is available in our related publications:
- "Effect Of Direction And Frequency Of Skull Motion On Mechanical Vulnerability Of The Human Brain"
- "Integrating Linear Viscoelastic Material Properties Derived from Magnetic Resonance Elastography into Subject-Specific Brain Models"
- "MR imaging of human brain mechanics in vivo: New measurements to facilitate the development of computational models of brain injury"
- "Effect Of Direction And Frequency Of Skull Motion On Mechanical Vulnerability Of The Human Brain"
May
- Congratulations to Yihao Liu and Lianrui Zuo on receiving their PhDs.
- Congratulations to Junyi Liu, Shimeng Wang, and Zejun Wu on receiving their masters. Junyi Liu will be pursuing her PhD at Ohio State, Shimeng Wang will be staying at Hopkins to join the PhD program, and Zejun Wu will be joining the PhD program at University of Virginia.
April
- Savannah Hays as part of the latest Percy Pierre Doctoral Fellowship cohort who are inspired to follow in the footsteps of distinguished academic and engineer, Pierre Percy, Engr 1967 (PhD).
- Yihao Liu's paper titled "On Finite Difference Jacobian Computation in Deformable Image Registration" appears in International Journal of Computer Vision.
March
NeuroImage Special Issue on Advances in Harmonization Techniques for Magnetic Resonance Imaging is open for submissions through December 31, 2024.
NeuroImage Special Issue on Advances in Harmonization Techniques for Magnetic Resonance Imaging is open for submissions through December 31, 2024. The guest editors are:
- Aaron Carass, Johns Hopkins University
- Lianrui Zuo, Vanderbilt University
- Yihao Liu, Vanderbilt University
- Jerry Prince, Johns Hopkins University
- Neda Jahanshad, University of Southern California
We welcome submissions of original research articles and comprehensive review papers focusing on, but not limited to, the following topics:
- Advanced approaches for MRI harmonization, which may include:
- Hybrid methods that combine different approaches
- Image synthesis methods
- Statistical methods
- Detailed evaluations of existing harmonization approaches in various neuroimage analysis tasks. Exploring strengths, limitations, and potential pitfalls of the existing methods.
- In-depth investigations of the applicability and effectiveness of harmonization methods across different MRI modalities, including:
- Structural MRI
- Diffusion MRI, such as diffusion tensor imagimg (DTI), high angular resolution diffusion imaging (HARDI), and diffusion kurtosis imaging (DKI)
- Functional MR
February
- Congratulations to Zhangxing Bian on winning a Best Paper Award at the Proceedings of SPIE Medical Imaging (SPIE-MI 2024), San Diego, CA, February 18–22, 2024.
- IACL papers at the Proceedings of SPIE Medical Imaging (SPIE-MI 2024), San Diego, CA, February 18–22, 2024.
- Zhangxing Bian presented "Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning?".
- Savannah P. Hays presented "Revisiting registration-based synthesis: A focus on unsupervised MR image synthesis".
- Samuel Remedios presented "Pushing the limits of zero-shot self-supervised super-resolution of anisotropic MR Images" and "Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation".
- Dr. Yihao Liu presented "Deep learning-based segmentation of hydrocephalus brain ventricle from ultrasound".
- Zejun Wu presented "AniRes2D: Anisotropic residual-enhanced diffusion for 2D MR super-resolution".
- Junyi Liu "Exploratory magnetic resonance elastography synthesis from magnetic resonance and diffusion tensor imaging".
- Other accepted papers at SPIE-MI 2024 coming from collaborations with IACL.
- Xiaofeng Liu from Massachusetts General Hospital, presented "Speech motion anomaly detection via cross-modal translation of 4D motion fields from tagged MRI".
| IACL at SPIE-MI 2024 | ||||
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| Dr. Yihao Liu presenting Yuli Wang's work titled "Deep learning-based segmentation of hydrocephalus brain ventricle from ultrasound". | Zhangxing Bian presenting "Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning?". | |||
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| Savannah P. Hays and Dr. Yihao Liu saying "Ayyy". | Samuel W. Remedios and Savannah P. Hays showing some SPIE pride. | |||
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| IACL Lab members (new and old) at SPIE-MI 2024. | Samuel W. Remedios presenting "Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation". | |||
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| Junyi Liu presenting her poster titled "Exploratory magnetic resonance elastography synthesis from magnetic resonance and diffusion tensor imaging". | ||||
| IACL at the Johns Hopkins School of Medicine and Whiting School of Engineering Research Retreat 2024 | ||||||
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January
- Yihao Liu successfully defends his thesis titled "Methods for Automated Analysis of OCT and OCTA Images".
- Lianrui Zuo successfully defends his thesis titled "Unsupervised structural MRI harmonization by learning disentangled representations".
