Changes for page Widget 3D Head

Last modified by paulapopa on 2025/05/30 15:03
From version 19.1
edited by paulapopa
on 2023/03/01 14:12
Change comment: There is no comment for this version
To version 27.1
edited by paulapopa
on 2025/05/30 14:45
Change comment: There is no comment for this version

Summary

Details

Page properties
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1 1  Source code: [[https:~~/~~/github.com/the-virtual-brain/tvb-widgets>>https://github.com/the-virtual-brain/tvb-widgets]]
2 2  
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]]
3 +This is part of a Pypi release: [[https:~~/~~/pypi.org/project/tvb-widgets/>>https://pypi.org/project/tvb-widgets/]]
4 4  
5 +//**tvb-widgets**// is also already installed in the official image released for EBRAINS lab, where you can test it directly.
6 +
5 5  == Purpose ==
6 6  
7 7  It is a Jupyter widget intended for visualization of the 3D Head data available for a patient:
8 8  
9 9  * surfaces of different types (cortex, face, skull, etc)
10 -* connectivity region centers
12 +* connectivity region centers and edges
11 11  * sensors locations (SEEG, MEG, EEG)
12 12  
15 +On cortical surfaces, it can also display region parcellation. 
16 +
13 13  == Inputs ==
14 14  
15 15  It supports the above data in the form of their corresponding TVB datatypes:
16 16  
17 17  * Surface (CorticalSurface, FaceSurface, etc)
22 +* Parcellation (RegionMapping)
18 18  * Connectivity
19 19  * Sensors (SensorsInternal, SensorsMEG, SensorsEEG)
20 20  
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29 29  
30 30  We need to first import the widget __API from tvbwidgets__// //package, together with the __TVB API __and the __display__ function:
31 31  
32 -(% class="box" %)
33 -(((
37 +{{code language="python" layout="LINENUMBERS"}}
34 34  import tvbwidgets.api as api
35 -
36 36  from tvb.simulator.lab import *
40 +from IPython.core.display_functions import display 
41 +{{/code}}
37 37  
38 -from IPython.core.display_functions import display
39 -)))
40 -
41 41  Then, there are 2 options to work with the widget:
42 42  
43 43  1. Use a file browser to load the data and automatically display it
44 44  1. Use directly the API to load the data and display it
45 45  
46 -
47 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 48  
49 -(% class="box" %)
50 -(((
50 +{{code language="python" layout="LINENUMBERS"}}
51 51  widget = api.HeadBrowser()
52 52  display(widget)
53 -)))
53 +{{/code}}
54 54  
55 55  
56 56  For the second option, the API is described below:
57 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:
58 +In a cell, we load the data using the TVB API:
59 59  
60 -(% class="box" %)
61 -(((
62 -widget = api.HeadWidget()
60 +{{code language="python" layout="LINENUMBERS"}}
61 +surface = surfaces.Surface.from_file()
62 +surface.configure()
63 63  
64 -face = surfaces.FaceSurface().from_file()
65 -
64 +face = surfaces.Surface.from_file('face_8614.zip')
66 66  face.configure()
67 67  
68 -widget.add_datatype(face)
69 -display(widget)
70 -)))
67 +reg_map = region_mapping.RegionMapping.from_file()
71 71  
72 -{{html}}
73 -<iframe src="https://drive.google.com/file/d/1Egp9Lk-HGMATc9em6Kw_jSHmybTD2vzM/preview" width="840" height="480" allow="autoplay"></iframe>
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 -
69 +conn = connectivity.Connectivity.from_file()
86 86  conn.configure()
87 87  
88 -widget.add_datatype(conn)
89 -
90 -
91 -seeg = sensors.SensorsInternal().from_file()
92 -
72 +seeg = sensors.SensorsInternal.from_file()
93 93  seeg.configure()
74 +{{/code}}
94 94  
95 -widget.add_datatype(seeg, api.HeadWidgetConfig(name='SEEG'))
96 -)))
76 +Then we prepare the **HeadWidget** for display:
97 97  
98 -{{html}}
99 -<iframe src="https://drive.google.com/file/d/1RLwts75Hh31LoPdWLK7QOM61KIsOabF1/preview" width="840" height="480" allow="autoplay"></iframe>
100 -{{/html}}
78 +{{code language="python" layout="LINENUMBERS"}}
79 +widget = api.HeadWidget([face, conn, seeg])
80 +display(widget)
81 +{{/code}}
101 101  
102 -We can also provide a **RegionMapping** to be used as colormap for a surface:
83 +[[image:head.png]]
103 103  
104 -(% class="box" %)
105 -(((
106 -reg_map = region_mapping.RegionMapping.from_file()
85 +Next, we can continue adding other datatypes to this widget, by calling //**add_datatype**// multiple times.
107 107  
108 -config = api.HeadWidgetConfig(name='Cortex')
87 +In the code below, we add the **CorticalSurface** with a **RegionMapping** as parcellation**:**
109 109  
110 -config.add_region_mapping_as_cmap(reg_map)
89 +{{code language="python" layout="LINENUMBERS"}}
90 +widget.add_datatype(surface, reg_map)
91 +{{/code}}
111 111  
112 -
113 -cortex = surfaces.CorticalSurface().from_file()
114 -
115 -cortex.configure()
116 -
117 -
118 -widget = api.HeadWidget()
119 -
120 -widget.add_datatype(cortex, config)
121 -
122 -display(widget)
123 -)))
124 -
125 125  {{html}}
126 -<iframe src="https://drive.google.com/file/d/1zrbjdb8Y4V5rqg7Y7LDGlHHMS0RH8luz/preview" width="840" height="480" allow="autoplay"></iframe>
94 +<iframe width="840" height="480" src="https://www.youtube.com/embed/aDC2TJm2NxM" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
127 127  {{/html}}
conncenters.png
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Public

TVB Widgets