Wiki source code of Widget 3D Head
Hide last authors
author | version | line-number | content |
---|---|---|---|
![]() |
15.1 | 1 | Source code: [[https:~~/~~/github.com/the-virtual-brain/tvb-widgets>>https://github.com/the-virtual-brain/tvb-widgets]] |
![]() |
3.1 | 2 | |
![]() |
16.1 | 3 | Immediate testing: [[https:~~/~~/lab.ch.ebrains.eu/hub/user-redirect/lab/tree/shared/TVB%20Widgets/REPO/tvb-widgets/notebooks/HeadWidget.ipynb>>https://lab.ch.ebrains.eu/hub/user-redirect/lab/tree/shared/TVB%20Widgets/REPO/tvb-widgets/notebooks/HeadWidget.ipynb]] |
![]() |
11.1 | 4 | |
![]() |
3.1 | 5 | == Purpose == |
6 | |||
![]() |
12.1 | 7 | It is a Jupyter widget intended for visualization of the 3D Head data available for a patient: |
![]() |
3.1 | 8 | |
9 | * surfaces of different types (cortex, face, skull, etc) | ||
10 | * connectivity region centers | ||
11 | * sensors locations (SEEG, MEG, EEG) | ||
12 | |||
13 | == Inputs == | ||
14 | |||
15 | It supports the above data in the form of their corresponding TVB datatypes: | ||
16 | |||
17 | * Surface (CorticalSurface, FaceSurface, etc) | ||
18 | * Connectivity | ||
19 | * Sensors (SensorsInternal, SensorsMEG, SensorsEEG) | ||
20 | |||
21 | == Installation == | ||
22 | |||
23 | (% class="box" %) | ||
24 | ((( | ||
25 | pip install tvb-widgets | ||
26 | ))) | ||
27 | |||
28 | == API usage == | ||
29 | |||
30 | We need to first import the widget __API from tvbwidgets__// //package, together with the __TVB API __and the __display__ function: | ||
31 | |||
32 | (% class="box" %) | ||
33 | ((( | ||
34 | import tvbwidgets.api as api | ||
35 | |||
36 | from tvb.simulator.lab import * | ||
37 | |||
38 | from IPython.core.display_functions import display | ||
39 | ))) | ||
40 | |||
![]() |
18.1 | 41 | Then, there are 2 options to work with the widget: |
![]() |
3.1 | 42 | |
![]() |
18.1 | 43 | 1. Use a file browser to load the data and automatically display it |
44 | 1. Use directly the API to load the data and display it | ||
45 | |||
46 | |||
47 | 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: | ||
48 | |||
![]() |
3.1 | 49 | (% class="box" %) |
50 | ((( | ||
![]() |
18.1 | 51 | widget = api.HeadBrowser() |
52 | display(widget) | ||
53 | ))) | ||
54 | |||
55 | |||
56 | For the second option, the API is described below: | ||
57 | |||
58 | In a new cell, we instantiate the **HeadWidget** and a **FaceSurface** datatype that we want to visualize. Using the //**add_datatype**// method we add the surface to our widget and __display__ the widget: | ||
59 | |||
60 | (% class="box" %) | ||
61 | ((( | ||
![]() |
12.1 | 62 | widget = api.HeadWidget() |
![]() |
3.1 | 63 | |
64 | face = surfaces.FaceSurface().from_file() | ||
65 | |||
66 | face.configure() | ||
67 | |||
![]() |
9.1 | 68 | widget.add_datatype(face) |
69 | display(widget) | ||
![]() |
3.1 | 70 | ))) |
71 | |||
72 | {{html}} | ||
![]() |
5.1 | 73 | <iframe src="https://drive.google.com/file/d/1Egp9Lk-HGMATc9em6Kw_jSHmybTD2vzM/preview" width="840" height="480" allow="autoplay"></iframe> |
![]() |
3.1 | 74 | {{/html}} |
75 | |||
76 | Next, we can continue adding other datatypes to this widget, by calling //**add_datatype**// multiple times. A maximum of 10 datatypes are supported by this widget. | ||
77 | |||
78 | The **Config** object can be used to tweak the display options for each datatype. | ||
79 | |||
80 | In the code below, we add a **Connectivity** and SEEG **Sensors:** | ||
81 | |||
82 | (% class="box" %) | ||
83 | ((( | ||
84 | conn = connectivity.Connectivity().from_file() | ||
85 | |||
86 | conn.configure() | ||
87 | |||
![]() |
9.1 | 88 | widget.add_datatype(conn) |
![]() |
3.1 | 89 | |
90 | |||
91 | seeg = sensors.SensorsInternal().from_file() | ||
92 | |||
93 | seeg.configure() | ||
94 | |||
![]() |
13.1 | 95 | widget.add_datatype(seeg, api.HeadWidgetConfig(name='SEEG')) |
![]() |
3.1 | 96 | ))) |
97 | |||
![]() |
6.1 | 98 | {{html}} |
![]() |
16.2 | 99 | <iframe src="https://drive.google.com/file/d/1RLwts75Hh31LoPdWLK7QOM61KIsOabF1/preview" width="840" height="480" allow="autoplay"></iframe> |
![]() |
6.1 | 100 | {{/html}} |
101 | |||
![]() |
3.1 | 102 | We can also provide a **RegionMapping** to be used as colormap for a surface: |
103 | |||
104 | (% class="box" %) | ||
105 | ((( | ||
106 | reg_map = region_mapping.RegionMapping.from_file() | ||
107 | |||
![]() |
13.1 | 108 | config = api.HeadWidgetConfig(name='Cortex') |
![]() |
3.1 | 109 | |
110 | config.add_region_mapping_as_cmap(reg_map) | ||
111 | |||
112 | |||
113 | cortex = surfaces.CorticalSurface().from_file() | ||
114 | |||
115 | cortex.configure() | ||
116 | |||
![]() |
16.2 | 117 | |
118 | widget = api.HeadWidget() | ||
119 | |||
![]() |
9.1 | 120 | widget.add_datatype(cortex, config) |
![]() |
16.2 | 121 | |
122 | display(widget) | ||
![]() |
8.1 | 123 | ))) |
![]() |
3.1 | 124 | |
125 | {{html}} | ||
![]() |
16.2 | 126 | <iframe src="https://drive.google.com/file/d/1zrbjdb8Y4V5rqg7Y7LDGlHHMS0RH8luz/preview" width="840" height="480" allow="autoplay"></iframe> |
![]() |
3.1 | 127 | {{/html}} |