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Lab members Lianrui Zuo and Yihao Liu with Dr. Yufan He after his graduation in May 2022.

Lab members Lianrui Zuo and Yihao Liu with Dr. Yufan He after his graduation in May 2022.

Newly minted PhDs Drs. Blake Dewey and Yufan He flank Prof. J.L. Prince.

Newly minted PhDs Drs. Blake Dewey and Yufan He flank Prof. J.L. Prince.

IACL lab members at SPIE-MI 2022.

IACL lab members at SPIE-MI 2022.

Yihao Liu presenting a poster at SPIE-MI 2020.

Yihao Liu presenting a poster at SPIE-MI 2020.

Shuo Han presenting a poster at SPIE-MI 2020.

Shuo Han presenting a poster at SPIE-MI 2020.

Prof. Jerry L. Prince congratulating Jeffrey Glaister on his successful defense in October 2019.

Prof. Jerry L. Prince congratulating Jeffrey Glaister on his successful defense in October 2019.

Yihao Liu presenting a poster at ISBI 2019.

Yihao Liu presenting a poster at ISBI 2019.

Jacob Reinhold presenting a poster at SPIE-MI 2019.

Jacob Reinhold presenting a poster at SPIE-MI 2019.



Recent News Items


2022

June

  • Brain Biomechanics Imaging Resources now has 56 datasets available for download.
    • 10 subjects from the Henry Jackson Foundation, imaged with tagged magnetic resonance.
    • 36 subjects from the University of Delaware, imaged with high resolution magnetic resonance elastography at multiple frequencies (30Hz, 50Hz, 70Hz).
    • 10 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. 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:
      • "Integrating Linear Viscoelastic Material Properties Derived from Magnetic Resonance Elastography into Subject-Specific Brain Models"  (doi)
      • "MR imaging of human brain mechanics in vivo: new measurements to facilitate the development of computational models of brain injury"  (doi)


May

Drs. Blake E. Dewey and Yufan He flank Prof. J.L. Prince after their hooding ceremony.
  • Congratulations to Blake. E. Dewey, Shuo Han, and Yufan He on receiving their PhDs.
  • Congratulations to Peiyu "Camille" Duan and Chenyu Gao on receiving their masters. Peiyu Duan is joining a PhD program at Yale University. Chenyu Gao is joining a PhD at Vanderbilt University.


February

  • Congratulations to Pouria Tohidi on winning a Best Poster Award at the Proceedings of SPIE Medical Imaging (SPIE-MI 2022), San Diego, CA, February 20–124, 2022.
  • IACL papers at the Proceedings of SPIE Medical Imaging (SPIE-MI 2022), San Diego, CA, February 20–124, 2022.
    • Muhan Shao presented "Evaluating the impact of MR image harmonization on thalamus deep network segmentation".
    • Savannah Hays presented "Evaluating the Impact of MR Image Contrast on Whole Brain Segmentation".
    • Peiyu "Camille" Duan presented "Cranial Meninges Reconstruction Based on Convolutional Networks and Deformable Models: Applications to Longitudinal Study of Normal Aging".
    • Ahmed Alshareef presented "Investigating the Effect of Ventricle Size on Brain Deformation using Computational Models" and "Correlation of Cerebral Vasculature to Brain Stiffness Using MRE".
    • Chenyu Gao presented "Effects of Defacing Whole Head MRI on Neuroanalysis".
    • Pouria Tohidi presented "Multiple Sclerosis Brain Lesion Segmentation with Different Architecture Ensembles".


IACL at SPIE 2022
2022-SPIE-IACL-Lab.jpg
IACL Lab members (and friend) at SPIE 2022 in San Diego.
 
2022-SPIE-Ahmed-Oral-3.jpg
Ahmed Alshareef presenting his talk titled "Investigating the Effect of Ventricle Size on Brain Deformation using Computational Models".
 
2022-SPIE-Camille-Oral-2.jpg
Peiyu "Camille" Duan presented "Cranial Meninges Reconstruction Based on Convolutional Networks and Deformable Models: Applications to Longitudinal Study of Normal Aging".
 
2022-SPIE-Savannah-Oral-1.jpg
Savannah Hays preparing for her presentation titled "Evaluating the Impact of MR Image Contrast on Whole Brain Segmentation".
 
2022-SPIE-Chenyu-Poster-1.jpg 2022-SPIE-Pouria-Poster-2.jpg
IACL lab members presenting posters (and winning awards!!).



2021

October

  • Brain Biomechanics Imaging Resources now has 30 datasets available for download.
    • 10 subjects from the Henry Jackson Foundation, imaged with tagged magnetic resonance.
    • 10 subjects from the University of Delaware, imaged with high resolution magnetic resonance elastography at multiple frequencies (30Hz, 50Hz, 70Hz).
    • 10 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. The diffusion images with TORTOISE.
    • Individual subjects can be downloaded or complete site sets.
    • Site information and subject details can be found in the available BBIR documents.
    • Additional information is available in our related publications:
      • "Integrating Linear Viscoelastic Material Properties Derived from Magnetic Resonance Elastography into Subject-Specific Brain Models"  (doi)
      • "MR imaging of human brain mechanics in vivo: new measurements to facilitate the development of computational models of brain injury"  (doi)


  • Ahmed Alshareef's paper titled "Integrating Linear Viscoelastic Material Properties Derived from Magnetic Resonance Elastography into Subject-Specific Brain Models" appears in Brain Multiphysics.  (doi)
  • Ahmed Alshareef presented "Integrating Linear Viscoelastic Material Properties Derived from Magnetic Resonance Elastography into Subject-Specific Finite Element Brain Models" at the Biomedical Engineering Society (BMES) Annual Meeting, Orlando, FL, October 6-9, 2021. Integrating Linear Viscoelastic Material Properties Derived from Magnetic Resonance Elastography into Subject-Specific Finite Element Brain Models
  • Jerry L. Prince delivered a keynote at the DALI MICCAI Workshop. Jerry L. Prince delivers the keynote at DALI MICCAI Workshop


September

  • Samuel W. Remedios presented "Joint Image and Label Self-Super-Resolution" at the Simulation and Synthesis in Medical Imaging (SASHIMI 2021) in conjunction with the 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021), Strasbourg, France, September 27 – October 1, 2021.  (doi) Joint Image and Label Self-Super-Resolution
  • Jacob C. Reinhold presented "A Structural Causal Model for MR Images of Multiple Sclerosis" at the 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021), Strasbourg, France, September 27 – October 1, 2021.  (doi) A Structural Causal Model for MR Images of Multiple Sclerosis
  • Lianrui Zuo's paper titled "Unsupervised MR harmonization by learning disentangled representations using information bottleneck theory" appears in NeuroImage.  (doi)





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