Wiki source code of Widget 3D Head
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15.1 | 1 | Source code: [[https:~~/~~/github.com/the-virtual-brain/tvb-widgets>>https://github.com/the-virtual-brain/tvb-widgets]] |
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3.1 | 2 | |
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22.1 | 3 | This is part of a Pypi release: [[https:~~/~~/pypi.org/project/tvb-widgets/>>https://pypi.org/project/tvb-widgets/]] |
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11.1 | 4 | |
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22.1 | 5 | //**tvb-widgets**// is also already installed in the official image released for EBRAINS lab, where you can test it directly. |
6 | |||
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3.1 | 7 | == Purpose == |
8 | |||
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12.1 | 9 | It is a Jupyter widget intended for visualization of the 3D Head data available for a patient: |
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3.1 | 10 | |
11 | * surfaces of different types (cortex, face, skull, etc) | ||
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25.1 | 12 | * connectivity region centers and edges |
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3.1 | 13 | * sensors locations (SEEG, MEG, EEG) |
14 | |||
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25.1 | 15 | On cortical surfaces, it can also display region parcellation. |
16 | |||
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3.1 | 17 | == Inputs == |
18 | |||
19 | It supports the above data in the form of their corresponding TVB datatypes: | ||
20 | |||
21 | * Surface (CorticalSurface, FaceSurface, etc) | ||
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25.1 | 22 | * Parcellation (RegionMapping) |
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3.1 | 23 | * Connectivity |
24 | * Sensors (SensorsInternal, SensorsMEG, SensorsEEG) | ||
25 | |||
26 | == Installation == | ||
27 | |||
28 | (% class="box" %) | ||
29 | ((( | ||
30 | pip install tvb-widgets | ||
31 | ))) | ||
32 | |||
33 | == API usage == | ||
34 | |||
35 | We need to first import the widget __API from tvbwidgets__// //package, together with the __TVB API __and the __display__ function: | ||
36 | |||
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26.1 | 37 | {{code language="python" layout="LINENUMBERS"}} |
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3.1 | 38 | import tvbwidgets.api as api |
39 | from tvb.simulator.lab import * | ||
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26.1 | 40 | from IPython.core.display_functions import display |
41 | {{/code}} | ||
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3.1 | 42 | |
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18.1 | 43 | Then, there are 2 options to work with the widget: |
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3.1 | 44 | |
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18.1 | 45 | 1. Use a file browser to load the data and automatically display it |
46 | 1. Use directly the API to load the data and display it | ||
47 | |||
48 | For the first option, you have to run the following 2 lines of code in a notebook cell and then just use the UI controls: | ||
49 | |||
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26.1 | 50 | {{code language="python" layout="LINENUMBERS"}} |
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18.1 | 51 | widget = api.HeadBrowser() |
52 | display(widget) | ||
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26.1 | 53 | {{/code}} |
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18.1 | 54 | |
55 | |||
56 | For the second option, the API is described below: | ||
57 | |||
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26.1 | 58 | In a cell, we load the data using the TVB API: |
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18.1 | 59 | |
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26.1 | 60 | {{code language="python" layout="LINENUMBERS"}} |
61 | surface = surfaces.Surface.from_file() | ||
62 | surface.configure() | ||
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3.1 | 63 | |
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26.1 | 64 | face = surfaces.Surface.from_file('face_8614.zip') |
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3.1 | 65 | face.configure() |
66 | |||
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26.1 | 67 | reg_map = region_mapping.RegionMapping.from_file() |
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3.1 | 68 | |
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26.1 | 69 | conn = connectivity.Connectivity.from_file() |
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3.1 | 70 | conn.configure() |
71 | |||
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26.1 | 72 | seeg = sensors.SensorsInternal.from_file() |
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3.1 | 73 | seeg.configure() |
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26.1 | 74 | {{/code}} |
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3.1 | 75 | |
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26.1 | 76 | Then we prepare the **HeadWidget** for display: |
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3.1 | 77 | |
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26.1 | 78 | {{code language="python" layout="LINENUMBERS"}} |
79 | widget = api.HeadWidget([face, conn, seeg]) | ||
80 | display(widget) | ||
81 | {{/code}} | ||
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6.1 | 82 | |
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27.1 | 83 | [[image:head.png]] |
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3.1 | 84 | |
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26.1 | 85 | Next, we can continue adding other datatypes to this widget, by calling //**add_datatype**// multiple times. |
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3.1 | 86 | |
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26.1 | 87 | In the code below, we add the **CorticalSurface** with a **RegionMapping** as parcellation**:** |
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3.1 | 88 | |
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26.1 | 89 | {{code language="python" layout="LINENUMBERS"}} |
90 | widget.add_datatype(surface, reg_map) | ||
91 | {{/code}} | ||
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3.1 | 92 | |
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28.1 | 93 | [[image:cort.png]] |
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29.1 | 94 | |
95 | |||
96 | In the upper-right corner, a menu is displayed. This will allow us to control what we want to visualize. For example, I can hide the head in order to get a better view of the cortical surface: | ||
97 | |||
98 | |||
99 | |||
100 | I can rotate the surface and zoom in/out: | ||
101 | |||
102 | [[image:parcel.png]] | ||
103 | |||
104 | I could also make it transparent to visualize the connectivity centers and their edges: | ||
105 | |||
106 | |||
107 | Also, I can hide the connectivity and display only the SEEG sensors: | ||
108 | |||
109 | [[image:seeg.png]] |