Monash vis-fPET-fMRI

Monash vis-fPET-fMRI Dataset
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The Monash vis-fPET-fMRI dataset contains simultaneous FDG-fPET/BOLD-fMRI acquisitions from 10 young healthy individuals. The dataset comprises unreconstructed fPET list-mode data, as well as data reconstructed in 1-min bins. The data was acquired using a flickering checkerboard embedded block design (Jamadar et al., 2019a), which allows the examination of a task-evoked signal with known timecourse in a localised region-of-interest. This design is particularly suitable for development of novel processing and analysis pipelines. The release of unreconstructed and reconstructed data acquired during task-evoked visual cortex activation provides significant re-use value. Examples of re-use may include disentangling the glucose metabolic and blood oxygenation level dependent responses to neuronal activity (Jamadar et al., 2019a; Shokri-Kojori et al., 2019), synergistic data reconstruction (Sudarshan et al., 2020; Ovtchinnikov et al., 2020) and fusion techniques (Shenpeng’s mICA), novel multimodal attenuation correction procedures (Baran et al., 2018), and refinement of fPET-fMRI processing pipelines (Li et al., 2020; Jamadar et al., 2020a).

(IMPORTANT: Please note that the UTE, Dixon, 1 minute reconstructed PET data and unconstracted PET listmode data) are not compatible with the current BIDS specifications. They are in the corresponding directories:
* UTE: /sub-*/ute
* Dixon: /sub-*/dixon
* Reconstrcuted PET: /sub-*/pet
* listmode data: /sourcedata/sub-*/pet

The entire dataset is about 85GB in size,including MRI images (3.51 GB), and PET-related images and data (~81GB).

Relevant papers
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* Jamadar, S. D., Ward, P. G., Li, S., Sforazzini, F., Baran, J., Chen, Z., & Egan, G. F. (2019). Simultaneous task-based BOLD-fMRI and [18-F] FDG functional PET for measurement of neuronal metabolism in the human visual cortex. Neuroimage, 189, 258-266.
* Shenpeng Li, Sharna D. Jamadar, Phillip G.D. Ward, Malin Premaratne, Gary F. Egan, Zhaolin Chen*, (2020) Analysis of continuous infusion functional PET (fPET) in the human brain, NeuroImage"
* Viswanath P. Sudarshan, Gary F Egan, Zhaolin Chen, Suyash P. Awate. (2020) Joint MRI-PET image reconstruction using a joint dictionary, Medical Imaging Analysis.
* Zhaolin Chen, Francesco Sforazzini, Jakub Baran, N. Jon Shah, Gary F. Egan, (2019) MR-PET motion correction based on multi-contrast MR image registration. Human Brain Mapping.
* Jakub Baran, Zhaolin Chen, Francesco Sforazzini, Nicholas Ferris, Sharna Jamadar, Ben Schmitt, David Faul, Nadim Jon Shah, Marian Cholewa, Gary F. Egan, (2018) Accurate hybrid template–based and MR-based attenuation correction using UTE images for simultaneous PET/MR brain imaging applications, BMC Medical Imaging