Uploaded March 2022 | Updated September 2026, 2 hours ago
In this webinar, Dr. Ted Huppert talked about how to perform image reconstruction and use digitization information in the Brain AnalzyIR toolbox. Image reconstruction is one of the most important topics in neuroimaging. It gives more information about where the measured signal is coming from and helps with the correct interpretation of the dataset.
Dr. Ted Huppert is an Associate Professor of Electrical and Computer Engineering at the University of Pittsburgh. He has authored over 80 publications on fNIRS applications and method developments and is the creator of the AnalyzeIR NIRS-toolbox.
This webinar was held on the 23rd of March, 2022. For all upcoming webinars take a look at our website: nirx.net/webinars
Timecodes
0:00
0:12 Welcome and Introduction by NIRx
2:35 Introduction by Dr. Huppert
4:49 The image reconstruction problem
16:36 Introduction to use in the NIRS toolbox
49:52 Hierarchical Bayesian Priors (REML) = the math!
55:15 Group level image reconstruction model
1:03:00 Surface topography wavelets (and smoothing)
1:14:45 Multimodal image reconstruction (condensed)
1:21:07 The future of image reconstruction
1:24:40 Questions
In this webinar, Dr. Ted Huppert talked about how to perform image reconstruction and use digitization information in the Brain AnalzyIR toolbox. Image reconstruction is one of the most important topics in neuroimaging. It gives more information about where the measured signal is coming from and helps with the correct interpretation of the dataset.
Dr. Ted Huppert is an Associate Professor of Electrical and Computer Engineering at the University of Pittsburgh. He has authored over 80 publications on fNIRS applications and method developments and is the creator of the AnalyzeIR NIRS-toolbox.
This webinar was held on the 23rd of March, 2022. For all upcoming webinars take a look at our website: nirx.net/webinars
Timecodes
0:00
0:12 Welcome and Introduction by NIRx
2:35 Introduction by Dr. Huppert
4:49 The image reconstruction problem
16:36 Introduction to use in the NIRS toolbox
49:52 Hierarchical Bayesian Priors (REML) = the math!
55:15 Group level image reconstruction model
1:03:00 Surface topography wavelets (and smoothing)
1:14:45 Multimodal image reconstruction (condensed)
1:21:07 The future of image reconstruction
1:24:40 Questions
