Changes for page Widget 3D Head
Last modified by paulapopa on 2025/05/30 15:03
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... ... @@ -9,17 +9,14 @@ 9 9 It is a Jupyter widget intended for visualization of the 3D Head data available for a patient: 10 10 11 11 * surfaces of different types (cortex, face, skull, etc) 12 -* connectivity region centers and edges12 +* connectivity region centers 13 13 * sensors locations (SEEG, MEG, EEG) 14 14 15 -On cortical surfaces, it can also display region parcellation. 16 - 17 17 == Inputs == 18 18 19 19 It supports the above data in the form of their corresponding TVB datatypes: 20 20 21 21 * Surface (CorticalSurface, FaceSurface, etc) 22 -* Parcellation (RegionMapping) 23 23 * Connectivity 24 24 * Sensors (SensorsInternal, SensorsMEG, SensorsEEG) 25 25 ... ... @@ -34,12 +34,15 @@ 34 34 35 35 We need to first import the widget __API from tvbwidgets__// //package, together with the __TVB API __and the __display__ function: 36 36 37 -{{code language="python" layout="LINENUMBERS"}} 34 +(% class="box" %) 35 +((( 38 38 import tvbwidgets.api as api 37 + 39 39 from tvb.simulator.lab import * 40 -from IPython.core.display_functions import display 41 -{{/code}} 42 42 40 +from IPython.core.display_functions import display 41 +))) 42 + 43 43 Then, there are 2 options to work with the widget: 44 44 45 45 1. Use a file browser to load the data and automatically display it ... ... @@ -47,49 +47,86 @@ 47 47 48 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 49 50 -{{code language="python" layout="LINENUMBERS"}} 50 +(% class="box" %) 51 +((( 51 51 widget = api.HeadBrowser() 52 52 display(widget) 53 - {{/code}}54 +))) 54 54 56 +{{html}} 57 +<iframe width="840" height="480" src="https://www.youtube.com/embed/BCCh-wdcnVo" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe> 58 +{{/html}} 55 55 60 + 56 56 For the second option, the API is described below: 57 57 58 -In a cell, we loadthe data using theTVBAPI:63 +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 59 60 - {{codelanguage="python"layout="LINENUMBERS"}}61 - surface = surfaces.Surface.from_file()62 - surface.configure()65 +(% class="box" %) 66 +((( 67 +widget = api.HeadWidget() 63 63 64 -face = surfaces.Surface.from_file('face_8614.zip') 69 +face = surfaces.FaceSurface().from_file() 70 + 65 65 face.configure() 66 66 67 -reg_map = region_mapping.RegionMapping.from_file() 73 +widget.add_datatype(face) 74 +display(widget) 75 +))) 68 68 69 -conn = connectivity.Connectivity.from_file() 77 +{{html}} 78 +<iframe width="840" height="480" src="https://www.youtube.com/embed/8bmjKp3BYFA" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe> 79 +{{/html}} 80 + 81 +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. 82 + 83 +The **Config** object can be used to tweak the display options for each datatype. 84 + 85 +In the code below, we add a **Connectivity** and SEEG **Sensors:** 86 + 87 +(% class="box" %) 88 +((( 89 +conn = connectivity.Connectivity().from_file() 90 + 70 70 conn.configure() 71 71 72 -seeg = sensors.SensorsInternal.from_file() 93 +widget.add_datatype(conn) 94 + 95 + 96 +seeg = sensors.SensorsInternal().from_file() 97 + 73 73 seeg.configure() 74 -{{/code}} 75 75 76 -Then we prepare the **HeadWidget** for display: 100 +widget.add_datatype(seeg, api.HeadWidgetConfig(name='SEEG')) 101 +))) 77 77 78 -{{code language="python" layout="LINENUMBERS"}} 79 -widget = api.HeadWidget([face, conn, seeg]) 80 -display(widget) 81 -{{/code}} 103 +{{html}} 104 +<iframe width="840" height="480" src="https://www.youtube.com/embed/6UQhL9gd1HM" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe> 105 +{{/html}} 82 82 83 - [[image:head.png]]107 +We can also provide a **RegionMapping** to be used as colormap for a surface: 84 84 85 -Next, we can continue adding other datatypes to this widget, by calling //**add_datatype**// multiple times. 109 +(% class="box" %) 110 +((( 111 +reg_map = region_mapping.RegionMapping.from_file() 86 86 87 - In thecodebelow,wethe**CorticalSurface** with a **RegionMapping** as parcellation**:**113 +config = api.HeadWidgetConfig(name='Cortex') 88 88 89 -{{code language="python" layout="LINENUMBERS"}} 90 -widget.add_datatype(surface, reg_map) 91 -{{/code}} 115 +config.add_region_mapping_as_cmap(reg_map) 92 92 117 + 118 +cortex = surfaces.CorticalSurface().from_file() 119 + 120 +cortex.configure() 121 + 122 + 123 +widget = api.HeadWidget() 124 + 125 +widget.add_datatype(cortex, config) 126 + 127 +display(widget) 128 +))) 129 + 93 93 {{html}} 94 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> 95 95 {{/html}}
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