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  • Installing Sim4Life and configuring licenses

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    G
    Did you do one of the following: • Define the FlexNet environment variable FLEXID_LIBRARY_PATH to point to the location of the dongle shared object, libhasp_linux_x86_64.so. • Define the system environment variable LD_LIBRARY_PATH to point to the location of the dongle shared object libhasp_linux_x86_64.so. ? Could you try to send us the output of lmhostid -flexid? that command should return the dongle id. You can also access the dongle firmware - if it is correctly installed - via the loopback address. On a browser, go to http://localhost:1947/ you should see the characteristics of the dongle. Let us know if it works.
  • Working with CAD models

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    C
    Seems like a simple thing, but after I discretize a locked nerve trajectory, the associated Neuron model object will also be locked. This prevents me from being able to delete that model object or group that model object without creating a duplicate. This is frustrating as I need to keep model objects organized, and want to be able to experiment with different Neuron models without keeping all iterations. How do I unlock or delete discretized neuron model objects?
  • Working with models from the Virtual Population

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    brynB
    I would like to highlight our new jupyter notebooks released in Sim4Life 9.0 (18820) demonstrating how to setup simulations for personalized modeling, starting from medical image data (MRI or CT). You can find them under Help -> Examples, tutorials H, J and K. [image: 1751530347812-40ce376e-f66a-4cef-9f92-47a5f23f41be-image.png] These new tutorials show how to import medical images run automatic segmentation of the trunc extract surface models from the labelfields assign material tags to simplify automatic assignment of material properties in the simulations extracting anatomical landmarks on the skin for placing electrodes setting up a simulation and running it We would love to get constructive feedback and suggestions. In our experiments the segmentation seems quite robust, but errors may occur (this is not a clinical tool). We try to fix these errors in the post-processing, but there are most certainly cases where the post-processing may do something unintended (like add skin at the border of the field of view, where there should be none). If you have a need for making this robust for your data, contact us at virtualpopulation@itis.swiss so we can discuss.
  • FDTD, Low-Frequency, Neuron, Mode-Matching, Flow, Acoustics, etc...

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    Hi In Sim4Life the tissue properties are provided as a single values. However, the IT’IS website provides supplemental information on the tissue properties. In addition to the average value, you can find the standard deviation, minima and maxima. Low Frequency (Conductivity) » IT'IS Foundation](https://itis.swiss/virtual-population/tissue-properties/database/low-frequency-conductivity/)
  • Postprocessing results

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    brynB
    A user recently asked me: I have a field distribution from an EM solver in the brain. I would like to mask the field in the left amygdala, but I my model does not separate the left/right amygdala. How can this be done? There are different approaches, but here are some suggestions: Split the amygdala in the model BEFORE running the simulation. You can select the amygdala and use the Mesh Tools -> Separate Meshes. Assign the same material property to both (left/right) solid regions and then AFTER running the simulation mask e.g. just the left amygdala. You already have run the simulation. Mask the field to remove everything outside the amygdala, Create a sphere around the left amygdala (e.g. called "Sphere Amygdala_left" Mask the masked field with only the sphere region (by dragging it onto the masking list). This will remove everything outside the sphere, i.e., the field in the right amygdala. Here is the second option in code: simulation_extractor = simulation.Results() # Add a EmSensorExtractor em_sensor_extractor = simulation_extractor["Overall Field"] em_sensor_extractor.FrequencySettings.ExtractedFrequency = u"All" document.AllAlgorithms.Add(em_sensor_extractor) # Add a FieldMaskingFilter inputs = [em_sensor_extractor.Outputs["EM E(x,y,z,f0)"]] field_masking_filter = analysis.core.FieldMaskingFilter(inputs=inputs) field_masking_filter.UpdateAttributes() for id, name in zip(field_masking_filter.MaterialIds(), field_masking_filter.MaterialNames()): field_masking_filter.SetMaterial(id, name == "Amygdala") field_masking_filter.UpdateAttributes() document.AllAlgorithms.Add(field_masking_filter) # Add a second FieldMaskingFilter inputs = [field_masking_filter.Outputs["EM E(x,y,z,f0)"]] field_masking_filter_2 = analysis.core.FieldMaskingFilter(inputs=inputs) field_masking_filter_2.UpdateAttributes() for mat in field_masking_filter_2.MaterialIds(): field_masking_filter_2.SetMaterial(mat, False) field_masking_filter_2.SetEntities([model.AllEntities()["Sphere Amygdala_left"]]) field_masking_filter_2.UpdateAttributes() document.AllAlgorithms.Add(field_masking_filter_2) # Add a SliceFieldViewer inputs = [field_masking_filter_2.Outputs["EM E(x,y,z,f0)"]] slice_field_viewer = analysis.viewers.SliceFieldViewer(inputs=inputs) slice_field_viewer.Data.Mode = slice_field_viewer.Data.Mode.enum.QuantityComplexModulus slice_field_viewer.Data.Component = slice_field_viewer.Data.Component.enum.ComponentsAll slice_field_viewer.Slice.Index = 23 slice_field_viewer.Update() document.AllAlgorithms.Add(slice_field_viewer) https://youtu.be/J2dERMnzNoA
  • Scripting interface for Sim4Life

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    K
    The problem has been resolved! Thank you for your assistance!
  • Running Sim4Life over a network

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    ofliO
    Hi, Please allow me to share here the response we sent you via the Sim4Life support email so that other users can benefit from your questions. The default machine provides 500GB of storage, and you are running out of space for this project. If your results require more than 500GB, consider upgrading to a higher-tier machine with greater storage capacity. Alternatively, you could reduce the size of your simulation project by splitting it into multiple smaller simulations. This would allow you to continue using the default tier. Additionally, you might optimize your sensor settings, such as by creating smaller sensors and recording data for specific volumes of interest, rather than using an Overall Field sensor.
  • Electrode with Nerve Model tutorial

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    H
    Hi @cbenj33 we are aware of the inconsistencies (we have changed the position of the nerve and electrode, which will be part of the next release happening soon). For now, I am emailing you the pdf version of this tutorial documentation and explanations regarding the errors.
  • 0 Votes
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    brynB
    The voxeler (re-)uses cached information about the geometry (solids, wires, etc.). It looks up the information for each model entity and emits this message if the cached geometry was not found. Questions: are you running this in the GUI or a script/notebook? did you potentially delete (or modify) some of the entities assigned to the simulation (I guess in voxeler settings)? If you deleted the entity or modified it in the modeler (some operations preserve the instance, while others may create a new instance and delete the old one), this would explain the error. We could improve the error message by providing more helpful instructions.
  • This topic is deleted!

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  • Volt and sensitivity of transducer sim4lite

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    M
    Assuming a linear relation between voltage and pressure amplitude, you should be able to map the input voltage to the input pressure (I think its 1 MPa by default), and then use this as a scaling factor, but it's unclear to me what you mean with voltage at the focused area. What exactly do you mean by transducer sensitivity? You could run additional simulations where you shift the transducer or slightly change some parameters to get a sense of the sensitivity.
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    brynB
    Here is a simple implementation to write an iSEG tissue list file, given a dictionary mapping the label index to a name: https://github.com/dyollb/s4l-scripts/blob/df8e2241f87ca91d71138e9d2b3d4336dadb82dc/src/anisotropic_conductivity/load_labels.py#L44
  • This topic is deleted!

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  • Cannot open .smash project file

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    J
    Thank you so much you are a godsend 🙏 You saved me a couple days worth of work!
  • Heat generation rate and Heat transfer rate in a MQS/Thermal simulation

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    H
    In terms of the material settings in the thermal simulation: The heat transfer rate defines whether heat removal by perfusion should be considered. In the absence of this term, heat is only removed by thermal conduction (diffusion) and boundary conditions. The options provided for heat transfer rate affect whether perfusion is constant or affected by local thermoregulation (temperature (T) dependent perfusion, e.g., to account for vasodilation). As for the heat transfer rate, the heat generation rate term can be constant or affected by local thermoregulation (T dependent, reflecting increased metabolic activity with increasing temperature). It is also possible to introduce time-dependent heat generation, e.g., to model a heating battery. Baseline perfusion values (incl. variability information) are available in the IT'IS database and can be automatically assigned from sim4life: (http://www.itis.ethz.ch/virtual-population/tissue-properties/database/database-summary/). If non-constant perfusion should be applied or not depends on the tissue and temperature increase magnitude (e.g., muscle above 39 starts to have a strong perfusion increase). The conservativeness of a perfusion model choice is application-dependent. To simulate the heating effect of tissues over time, blood perfusion and heat generation rate (metabolic heat generation) of the tissue would also need to be considered. The perfusion is covered in the option "Heat Transfer Rate". All options that you can enter here are related to heat-transfer based removal of energy from the system. Perfusion can be adjusted by changing the type of hear transfer (None, Constant, Linear (T), Piecewise Linear (T). The constant term assumes constant perfusion, independent of tissue temperature. It is the default assigned when using the IT'IS tissue database in Sim4Life. Linear (T) or Piecewise Linear (T) assume temperature dependent perfusion. You can add your your transition temperatures using the little "+" icon. Please note that the linear coefficients represent the slope of the linear perfusion. Each transition temperature indicates the change of the perfusion rate.
  • Grid Convergence

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    B
    To perform such a study, define your region or quantity of interest, then parametrize it. After a quantity has been parametrized, you can run multiple simulations using the built in Sweeper feature or using the Sim4Life Python API. There is an example in the Sim4Life manual titled 'Parametrized Patch Antenna' that shows how to use the Sweeper feature. If using the Python API, the easiest way would be to create a baseline simulation by hand, then right-click on the simulation name and select To Python. Then you would find the quantity of interest in the auto-generated script and assign it to a variable instead of the hardcoded value. Using a simple loop in Python, you can create multiple simulation that have identical setup except for parameters of interest. In your example, multiple simulations would be run with identical setup except for the grid resolution within a region of interest (e.g., a wire block surrounding a region of interest is placed in a manual grid settings folder, then Maximum Step is changed from 0.3 to 1.0 mm). Then in Analysis you extract a quantity of interest and compare how this value changes as a function of grid resolution. If the change in the value is small as you increase resolution, you can proceed in future simulations with a coarser resolution to save on run time. The exact convergence of the value needed depends on your application.
  • This topic is deleted!

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  • My S4L file isn't opening after it crashed

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    D
    @bryn Thank you Bryn. Managed to find a version that wasn't corrupted! Hope you have a nice day :)
  • 3D Surface model to Voxel and export

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    brynB
    Are you using Sim4Life lite (web version)? I recorded my screen while I voxeled Duke V2.0 and exported the voxels. There seems to be a glitch in the Reload button when I try to see the data that was saved in the Study: as a workaround the Reload button in the DATA tab works. I voxeled at 15mm, so the skin is not completely closed, but if you choose something like 5-10mm it should be enough to resolve thin layers (like the skin): BTW. if you are using a desktop version of Sim4Life, the workflow is similar, except that the software uses native Windows file dialogs to save/load files. https://youtu.be/uAQgQQpG3Bg
  • This topic is deleted!

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  • Simulate a concave multi-element ultrasound array

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    M
    Assuming 'sim' is the acoustic simulation you're interested in and that 'elements' is a list of the elements (gotten from entities = model.AllEntities()) and that 'amp' and 'phase' are numpy arrays with the amplitude, phase values you're interested in assigning: # Print current simulation name print(sim.Name) # Remove all sources before adding them to_del = [] for s in sim.AllSettings: if isinstance(s,acoustic.SourceSettings): to_del.append(s) for d in to_del: sim.Remove(d) # Add sources with correct element and parameters for source_idx in np.arange(len(elements)): source_settings = acoustic.SourceSettings() source_settings.Amplitude = amp[source_idx] source_settings.Phase = phases[source_idx] sim.Add(source_settings, rings[source_idx]) print(rings[source_idx].Name, amp[source_idx], phases[source_idx]) Sorry I'm not providing a full example. Easiest way to do that would be to manually create the whole simulation without the sources (just make all sources as materials), then right click on simulation and select 'To Python...' and then add the lines above to your code You could do something like this to get the elements as a list: src_ents = [] entities = model.AllEntities() for e in entities: if 'Element' in e.Name: src_ents.append(e) Careful, I have no idea how the elements will be sorted in that case but you could use a fixed size numerical suffix and then sort them.
  • File .Smash error

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    M
    Hallo, There should be, in the same folder where the smash project is, a file named as the smash file, but starting with a ".", like ".Name_of_the_File.smash.xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx". Try to drag that file directly into Sim4Life and save it with a different name. From there you should be able to go on with the models/simulations/analysis settings already saved.
  • Cannot read document verion

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    I have two versions installed (6.2.2 and 7.00) and I tried opening the file with both. I have now deleted the smash file that wasn't working and started over, but if it happens again, I will try the import option- thanks!
  • Bone identification using RF signals

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  • The file I created with Sim4Life light cannot be opened.

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    brynB
    If you don't have a full version, i think (untested) you can still recover the model by importing the smash file in the modeling tab.
  • 'Point Sensor Tool' is not available

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    Sorry, don't have S4L with neuron available at the moment, but I looked at the tutorial and it seems to have changed. When you create the sensor settings can you try to drag and drop the axon to the sensor setting and then chose the section name? (That was the old way of doing it) Still, you should be able to run the simulation without a point sensor.. Sorry can't help more