no code implementations • 7 Feb 2025 • Aravind R. Krishnan, Yihao Liu, Kaiwen Xu, Michael E. Kim, Lucas W. Remedios, Gaurav Rudravaram, Adam M. Saunders, Bradley W. Richmond, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman, Lianrui Zuo
Results show harmonization significantly reduces emphysema measurement inconsistencies, decreasing median emphysema scores from 10. 479% to 3. 039%, with a reference median score of 1. 305% from the STANDARD kernel as the target.
no code implementations • 31 Jan 2025 • Chenyu Gao, Kaiwen Xu, Michael E. Kim, Lianrui Zuo, Zhiyuan Li, Derek B. Archer, Timothy J. Hohman, Ann Zenobia Moore, Luigi Ferrucci, Lori L. Beason-Held, Susan M. Resnick, Christos Davatzikos, Jerry L. Prince, Bennett A. Landman
To assess whether the altered voxels in defacing contain universally useful information, we also predict computed tomography (CT)-derived skeletal muscle radiodensity from facial voxels in both defaced and original MRIs.
no code implementations • 22 Jan 2025 • Lianrui Zuo, Xin Yu, Dingjie Su, Kaiwen Xu, Aravind R. Krishnan, Yihao Liu, Shunxing Bao, Fabien Maldonado, Luigi Ferrucci, Bennett A. Landman
Body composition analysis provides valuable insights into aging, disease progression, and overall health conditions.
no code implementations • 22 Jan 2025 • Lianrui Zuo, Kaiwen Xu, Dingjie Su, Xin Yu, Aravind R. Krishnan, Yihao Liu, Shunxing Bao, Thomas Li, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman
Once trained, our approach extends the FOV of CT images in the z-direction by generating new axial slices in a zero-shot manner.
1 code implementation • 29 Oct 2024 • Chenyu Gao, Michael E. Kim, Karthik Ramadass, Praitayini Kanakaraj, Aravind R. Krishnan, Adam M. Saunders, Nancy R. Newlin, Ho Hin Lee, Qi Yang, Warren D. Taylor, Brian D. Boyd, Lori L. Beason-Held, Susan M. Resnick, Lisa L. Barnes, David A. Bennett, Katherine D. Van Schaik, Derek B. Archer, Timothy J. Hohman, Angela L. Jefferson, Ivana Išgum, Daniel Moyer, Yuankai Huo, Kurt G. Schilling, Lianrui Zuo, Shunxing Bao, Nazirah Mohd Khairi, Zhiyuan Li, Christos Davatzikos, Bennett A. Landman
We observe difference between our dMRI-based brain age and T1w MRI-based brain age across stages of neurodegeneration, with dMRI-based brain age being older than T1w MRI-based brain age in participants transitioning from cognitively normal (CN) to mild cognitive impairment (MCI), but younger in participants already diagnosed with Alzheimer's disease (AD).
no code implementations • 7 Oct 2024 • Jinwei Zhang, Lianrui Zuo, Yihao Liu, Samuel Remedios, Bennett A. Landman, Jerry L. Prince, Aaron Carass
The former is essential for downstream analyses that require lesion-free images, while the latter is valuable for augmenting training datasets for lesion segmentation tasks.
no code implementations • 20 Sep 2024 • Zhiyuan Li, Tianyuan Yao, Praitayini Kanakaraj, Chenyu Gao, Shunxing Bao, Lianrui Zuo, Michael E. Kim, Nancy R. Newlin, Gaurav Rudravaram, Nazirah M. Khairi, Yuankai Huo, Kurt G. Schilling, Walter A. Kukull, Arthur W. Toga, Derek B. Archer, Timothy J. Hohman, Bennett A. Landman
We hypothesize that by this design the proposed framework can enhance the imputation performance of the dMRI scans and therefore be useful for repairing whole-brain tractography in corrupted dMRI scans with incomplete FOV.
1 code implementation • 6 Sep 2024 • Lucas W. Remedios, Han Liu, Samuel W. Remedios, Lianrui Zuo, Adam M. Saunders, Shunxing Bao, Yuankai Huo, Alvin C. Powers, John Virostko, Bennett A. Landman
We trained a collection of basic UNets with different fusion points, spanning from early to late, to assess how early through late fusion influenced segmentation performance on imperfectly aligned images.
no code implementations • 29 Aug 2024 • Savannah P. Hays, Samuel W. Remedios, Lianrui Zuo, Ellen M. Mowry, Scott D. Newsome, Peter A. Calabresi, Aaron Carass, Blake E. Dewey, Jerry L. Prince
In this paper, we evaluate the impact of image resolution on harmonization using a pretrained harmonization algorithm.
1 code implementation • 14 Jul 2024 • Yihao Liu, Junyu Chen, Lianrui Zuo, Aaron Carass, Jerry L. Prince
VFA uses neural networks to extract multi-resolution feature maps from the fixed and moving images and then retrieves pixel-level correspondences based on feature similarity.
no code implementations • 19 Feb 2024 • Savannah P. Hays, Lianrui Zuo, Yihao Liu, Anqi Feng, Jiachen Zhuo, Jerry L. Prince, Aaron Carass
Subsequently, this estimated deformation is applied to align the paired WMn counterpart of the moving CSFn image, yielding a synthetic WMn image for the fixed CSFn image.
no code implementations • 3 Dec 2023 • Jinwei Zhang, Lianrui Zuo, Blake E. Dewey, Samuel W. Remedios, Dzung L. Pham, Aaron Carass, Jerry L. Prince
Automatic multiple sclerosis (MS) lesion segmentation using multi-contrast magnetic resonance (MR) images provides improved efficiency and reproducibility compared to manual delineation.
no code implementations • 31 Oct 2023 • Jinwei Zhang, Lianrui Zuo, Blake E. Dewey, Samuel W. Remedios, Savannah P. Hays, Dzung L. Pham, Jerry L. Prince, Aaron Carass
Our experiments illustrate that the amalgamation of one-shot adaptation data with harmonized training data surpasses the performance of utilizing either data source in isolation.
no code implementations • 13 Apr 2023 • Peiyu Duan, Yuan Xue, Shuo Han, Lianrui Zuo, Aaron Carass, Caitlyn Bernhard, Savannah Hays, Peter A. Calabresi, Susan M. Resnick, James S. Duncan, Jerry L. Prince
The meninges, located between the skull and brain, are composed of three membrane layers: the pia, the arachnoid, and the dura.
1 code implementation • 4 Apr 2023 • Savannah P. Hays, Lianrui Zuo, Yuli Wang, Mark G. Luciano, Aaron Carass, Jerry L. Prince
Development of MR harmonization has enabled different contrast MRIs to be synthesized while preserving the underlying anatomy.
no code implementations • 3 Mar 2023 • Yuli Wang, Anqi Feng, Yuan Xue, Lianrui Zuo, Yihao Liu, Ari M. Blitz, Mark G. Luciano, Aaron Carass, Jerry L. Prince
Normal pressure hydrocephalus~(NPH) is a brain disorder associated with enlarged ventricles and multiple cognitive and motor symptoms.
1 code implementation • 1 Feb 2023 • Lianrui Zuo, Yuan Xue, Blake E. Dewey, Yihao Liu, Jerry L. Prince, Aaron Carass
Image quality control (IQC) can be used in automated magnetic resonance (MR) image analysis to exclude erroneous results caused by poorly acquired or artifact-laden images.
no code implementations • 12 Dec 2022 • Lianrui Zuo, Yihao Liu, Yuan Xue, Blake E. Dewey, Samuel W. Remedios, Savannah P. Hays, Murat Bilgel, Ellen M. Mowry, Scott D. Newsome, Peter A. Calabresi, Susan M. Resnick, Jerry L. Prince, Aaron Carass
Furthermore, HACA3 is also robust to imaging artifacts and can be trained and applied to any set of MR contrasts.
no code implementations • 10 May 2022 • Lianrui Zuo, Yihao Liu, Yuan Xue, Shuo Han, Murat Bilgel, Susan M. Resnick, Jerry L. Prince, Aaron Carass
Disentangling anatomical and contrast information from medical images has gained attention recently, demonstrating benefits for various image analysis tasks.
1 code implementation • 5 Mar 2022 • Yihao Liu, Lianrui Zuo, Shuo Han, Yuan Xue, Jerry L. Prince, Aaron Carass
The majority of deep learning (DL) based deformable image registration methods use convolutional neural networks (CNNs) to estimate displacement fields from pairs of moving and fixed images.
no code implementations • 24 Mar 2021 • Lianrui Zuo, Blake E. Dewey, Aaron Carass, Yihao Liu, Yufan He, Peter A. Calabresi, Jerry L. Prince
Accuracy and consistency are two key factors in computer-assisted magnetic resonance (MR) image analysis.
1 code implementation • 7 Jul 2020 • Yufan He, Aaron Carass, Lianrui Zuo, Blake E. Dewey, Jerry L. Prince
However, training a model for each target domain is time consuming and computationally expensive, even infeasible when target domain data are scarce or source data are unavailable due to data privacy.