DCS MRI image simulation
A web-based tool for creating DSC Digital Reference Objects
The purpose of this project is to provide a web-based interface to several software packages that create DSC simulations. three models are available for creating images that create simulated DSC perfusion data which can be used for creating simulated images.
The software takes the signal profiles for each tissue type in a 3D anthropomorphic head model to produce the 4D data set simulating a perfusion acquisition.
The following models are available:
BNI-DRO:
Semmineh NB, Stokes AM, Bell LC, Boxerman JL, Quarles CC. A Population-Based Digital Reference Object (DRO) for Optimizing Dynamic Susceptibility Contrast (DSC)-MRI Methods for Clinical Trials. Tomography: a journal for imaging research. 2017 Mar;3(1):41.
MGH CCNI:
Wu, O., Østergaard, L., Weisskoff, R.M., Benner, T., Rosen, B.R. and Sorensen, A.G., 2003. Tracer arrival timing‐insensitive technique for estimating flow in MR perfusion‐weighted imaging using singular value decomposition with a block‐circulant deconvolution matrix. Magnetic resonance in medicine, 50(1), pp.164-174.
Wu O, Østergaard L, Koroshetz WJ, Schwamm LH, O'Donnell J, Schaefer PW, Rosen BR, Weisskoff RM, Sorensen AG. Effects of tracer arrival time on flow estimates in MR perfusion‐weighted imaging. Magnetic resonance in medicine. 2003 Oct 1;50(4):856-64.
RIL MAYO:
Korfiatis P, Kline TL, Kelm ZS, Carter RE, Hu LS, Erickson BJ. Dynamic Susceptibility Contrast-MRI Quantification Software Tool: Development and Evaluation. Tomography: a journal for imaging research. 2016 Dec;2(4):448.
Please select one of the following models
Not compatible with IExplorer
Acknowledgment
This work was funded by:
Quantitative Imaging Biomarkers Alliance® (QIBA®), Contract No. HHSN268201300071C