At CMIB we aim to maximize the impact of our research efforts, and we thus thrive to share data, models and software with collaborators and the wide research community. Here you have the links to the main resources, also check Prof.Lamata FigShare profile, and do not hesitate to contact us for anything you’ve seen in our papers that will benefit you!
List of resources described below here:
- Pressure mapping toolkit
- Cardiac anatomy: four chamber meshes from CT, control cases
- Cardiac anatomy: left ventricular meshes from 3D MRI, heart failure
Pressure mapping toolkit
Matlab-based toolkit to extract the spatio-temporal maps of pressure differences from 4D-flow MRI acquisitions, and metrics such as:
- The conduit and reservoir function of arteries (e.g. the aorta), as described in Unlocking the Non-invasive Assessment of Conduit and Reservoir Function in the Aorta
- The distance to pressure recovery, as described in Non-invasive assessment of pressure recovery distance after aortic valve stenosis (in review)
- Pressure differences accordingly to the Work Energy Relative Pressure (WERP) method, as described in Non-invasive pressure difference estimation from PC-MRI using the work-energy equation
- Pressure differences accordingly to the Virtual WERP (v-WERP) method, as described in Non-invasive estimation of relative pressure for intracardiac flows using virtual work-energy
- A lot of many other metrics as developed by the master of this toolkit, Julio Sotelo
To access the code and learn much more about it, go to this GitHub repository
Cardiac anatomy from CT, control cases
From our work Linking statistical shape models and simulated function in the healthy adult human heart you have:
- Virtual cohort of adult healthy four-chamber heart meshes from CT images – link to meshes
- Virtual cohort of extreme and average four-chamber heart meshes from statistical shape model – link to meshes
- Virtual cohort of 1000 synthetic heart meshes from adult human healthy population – link to meshes
Cardiac anatomy from 3D MRI, heart failure cases
From this work in JACC Cardiovascular Imaging titled “An asymmetric wall-thickening pattern predicts response to cardiac resynchronization therapy” (link to paper) you have:
- Computational meshes of the cardiac left ventricle of 50 heart failure subjects – link to meshes