Computer Vision News - January 2024

Quantitative Intravoxel Incoherent Motion (IVIM) Diffusion MRI (dMRI) Reconstruction Challenge 34 AAPM Grand Challenge Xun Jia (left) is Chief of the Medical Physics Division at the Radiation Oncology Department of Johns Hopkins University. He is also the Lead Organiser of the IVIM-dMRI Reconstruction Challenge, one of two grand challenges sponsored by the American Association of Physicists in Medicine (AAPM) this year. Xun is here to tell us more, with Emily Townley, AAPM’s Staff Program Manager for the Working Group on Grand Challenges, and Karen Drukker (right) from the University of Chicago, the Working Group Chair. Thank you so much Emily for all that you did to make this feature possible! The IVIM-dMRI Reconstruction Challenge tackles the problem of parameter reconstruction in intravoxel incoherent motion (IVIM) diffusion MRI (dMRI). The technology, crucial for disease diagnosis and other clinical applications, involves reconstructing three biologically significant parameters. “The practical challenge is that the reconstruction is usually unreliable,” Xun reveals. “It has a lot of uncertainties because of the mathematical challenges of this reconstruction problem. That gives the parameter mapping considerable uncertainties that affect downstream applications. We set up this challenge to have participants compete on who can achieve the most reliable parameter reconstruction in this IVIM-dMRI context.”