Frequently asked questions
When installing, I get the following warning: "Microsoft Defender SmartScreen prevented an unrecognized app from starting. Running this app might put your PC at risk."
This warning is showed because we didn't get the application certified by windows. It is not a problem, you can still install ODIASP by clicking "More info" > "Run anyway".
What is the file format of the CT's to be imported in ODIASP ?
The CT's must be in the DICOM format.
I cannot find my CT's in ODIASP file explorer.
All the CT's must be inside a folder you will select in the file explorer. They do not need to be arranged in any particular way.
Can ODIASP only perform segmentation if I already selected the L3 slices ?
If the setting "ONLY cross-sectional muscle area measurement" is selected, every slice in the folder will be considered an L3 slice.
Can I import multiple CT's from the same subject ?
Yes, the results will all appear in the results page and will be regrouped in the subject card.
I possess the heights of the subjects, do I need to write all of them manually ?
In the result page, you can import an Excel file containing the subject's heights. It must have two columns: "height" and "patient name". You can download a template by clicking here.
Can I close the app and keep ongoing processes and results ?
No. If you close the app, all unsaved result will be lost.
Can I filter particular series types ?
You can add series types to ignore in "settings" > "DICOM filters".
Can ODIASP be used in clinical care ?
No. ODIASP is a software dedicated to research that does not involve human subjects and must not be used for clinical care.
Can ODIASP be used for commercial purposes ?
No. ODIASP is a software dedicated to research purposes.
Can't find your answer ?
Let us help
CONTACT US →
Terms of Use
ODIASP is a software tool dedicated to research that does not involve human subjects and must not be used for clinical care. ODIASP is a registered trademark. Access to the software does not grant the right to use the ODIASP name beyond referring to its use in the context of GNU GPLv3 license distribution.
If you use ODIASP, please cite the following publications:
ODIASP: An Open User-Friendly Software for Automated SMI Determination—Application to an Inpatient Population.
medRxiv
https://doi.org/10.1101/2024.10.25.24316094
K. Charrière, A. Ragusa, B. Genoux, A. Vilotitch, S. Artemova, P.A. Beaudoin, P.E. Madiot, G. Ferretti, I. Bricault, J.L. Bosson, E. Fontaine, A. Moreau-Gaudry, J. Giai, C. Bétry
ODIASP integrates open-source code elements. Please cite these as well:
Population-Scale CT-Based Body Composition Analysis Of a Large Outpatient Population Using Deep Learning To Derive Age, Sex, and Race-Specific Reference Curves.
Radiology 298 (2): 319-29
https://doi.org/10.1148/radiol.2020201640
GitHub: CT Body Composition
K. Magudia, C.P. Bridge, C.P. Bay, A. Babic, F.J. Fintelmann, F. Troschel, N. Miskin, W. Wrobel, L.K. Brais, K.P. Andriole, B.M. Wolpin, M.H. Rosenthal
Fully-Automated Analysis of Body Composition from CT in Cancer Patients Using Convolutional Neural Networks.
In , 11041:204-13
https://doi.org/10.1007/978-3-030-01201-4_22
GitHub: CT Body Composition
C.P. Bridge, M. Rosenthal, B. Wright, G. Kotecha, F. Fintelmann, F. Troschel, N. Miskin, K. Desai, W. Wrobel, A. Babic, N. Khalaf, L. Brais, M. Welch, C. Zellers, N. Tenenholtz, M. Michalski, B. Wolpin, K. Andriole
Automated body composition analysis of clinically acquired computed tomography scans using neural networks.
Clinical Nutrition 39 (10): 3049-55
https://doi.org/10.1016/j.clnu.2020.01.008
M.T. Paris, P. Tandon, D.K. Heyland, H. Furberg, T. Premji, G. Low, M. Mourtzakis
ODIASP 2024