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Self-supervised IVIM parameter estimation with a physics based forward model (Vasylechko et al.)

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Serge Didenko Vasylechko, Simon K. Warfield, Onur Afacan, Sila Kurugol Boston Children's Hospital and Harvard Medical School, Boston, MA, United States The goal of this study was to assess the robustness and repeatability of intravoxel incoherent motion model (IVIM) parameter estimation for the...

Motion-compensated Diffusion Weighted MRI in abdomen and Crohn's disease

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Can Taylan Sari

Person: Alumni-Post-doctoral research fellow, QUIN

Can Taylan Sari recieved his PhD from Bilkent University in 2020 after which he joined Computational Radiology Lab and Quantitative Intelligent Imaging Group. His research focused on cost-efficient approaches for segmentation. He is now a S enior Software Engineer in Amazon Web Services in UK.

Advances in Image Segmentation publication and kidney segmentation code release

News: November 30, 2021

Improving Automatic Renal Segmentation in Clinically Normal and Abnormal Paediatric DCE-MRI via Contrast Maximisation and Convolutional Networks for Computing Markers of Kidney Function Hykoush Asaturyan, Barbara Villarini, Karen Sarao, Jeanne S. Chow, Onur Afacan, and Sila KurugolAdvances in Image...

IEEE Publication: Learning the Regularization in DCE-MR Image Reconstruction for Functional Imaging of Kidneys and source code release

News: January 20, 2022

The following manuscript has been published in IEEE and the source code has been released in github: https://ieeexplore.ieee.org/document/9666904 Github link: https://github.com/quin-med-harvard-edu/kidney-LR-DCEMRI Title: Learning the Regularization in DCE-MR Image Reconstruction for Functional...

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Prospective pediatric study comparing glomerular filtration rate estimates based on motion-robust dynamic contrast-enhanced magnetic resonance imaging and serum creatinine (eGFR) to 99m Tc DTPA

Publication: Journal Article

Kurugol, Sila, Onur Afacan, Richard Lee, Catherine Seager, Michael Ferguson, Deborah Stein, Reid Nichols, et al. 2020. “Prospective Pediatric Study Comparing Glomerular Filtration Rate Estimates Based on Motion-Robust Dynamic Contrast-Enhanced Magnetic Resonance Imaging and Serum Creatinine (eGFR) to 99m Tc DTPA”. Pediatric Radiology 50 (5): 698–705.

Bulk motion-compensated DCE-MRI for functional imaging of kidneys in newborns

Publication: Journal Article

Coll-Font, Jaume, Onur Afacan, Jeanne Chow, Richard Lee, Alto Stemmer, Simon Warfield, and Sila Kurugol. 2020. “Bulk Motion-Compensated DCE-MRI for Functional Imaging of Kidneys in Newborns”. Journal of Magnetic Resonance Imaging 52 (1): 207–216.

Free induction decay navigator motion metrics for prediction of diagnostic image quality in pediatric MRI

Publication: Journal Article

Wallace, Tess, Onur Afacan, Camilo Jaimes, Joanne Rispoli, Kristina Pelkola, Monet Dugan, Tobias Kober, and Simon Warfield. 2021. “Free Induction Decay Navigator Motion Metrics for Prediction of Diagnostic Image Quality in Pediatric MRI”. Magnetic Resonance in Medicine 85 (6): 3169–3181.

Linear Time Invariant Model based Motion Compensation for Renal Function Estimation with DCE-MRI (Coll-Font et al.)

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Jaume Coll-Font, Onur Afacan, Jeanne Chow, Richard S. Lee, Simon K. Warfield, and Sila Kurugol Boston Children's Hospital Heavy breathing or large bulk motion of infant during acquisition of renal DCE-MRI causes misalignment between volumes, degrades image quality, and reduces the accuracy of...