NerveSegmentation3D-checkpoint.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3D Nerve Surface Segmentation "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Add Proper References Here**\n",
    "\n",
    "**NOTICE:** This notebook assumes you are familiar layered surface detection on tubular objects introduced in the *NerveSegmentation2D* notebook. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.image import imsave \n",
    "from skimage.io import imread\n",
    "from scipy.ndimage.interpolation import map_coordinates\n",
    "\n",
    "from qimtools import visualization, inspection, io\n",
    "from slgbuilder import GraphObject,MaxflowBuilder"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The data is a small stack of nerve images."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(200, 200, 10)\n"
     ]
    }
   ],
   "source": [
    "in_dir = 'data/'\n",
    "Vol_path = os.path.join(in_dir, 'nerves3D.tiff')\n",
    "\n",
    "# Load the data\n",
    "vol = io.Volume( Vol_path )\n",
    "\n",
    "# Convert the stack of 2D slices to a 3D volume\n",
    "vol = vol.concatenate().astype(np.int32)\n",
    "vol = np.transpose(vol,(1,2,0))\n",
    "\n",
    "print(vol.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
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       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
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       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
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       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
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       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
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       "mpl.figure.prototype._init_toolbar = function() {\n",
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       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
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       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
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       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
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       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
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       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
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       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
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       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
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       "        cursor = 'crosshair';\n",
       "        break;\n",
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       "        break;\n",
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       "    fig.rubberband_canvas.style.cursor = cursor;\n",
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       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Instructions:\n",
      "    Controls\n",
      "    --------\n",
      "        'up-arrow'    : Next slice in volume\n",
      "        'down-arrow'  : Previous slice in volume\n",
      "        'right-arrow' : +10 slices\n",
      "        'left-arrow'  : -10 slices\n",
      "        'PgUp'        : +50 slices\n",
      "        'PgDown'      : -50 slices\n",
      "\n",
      "        scroll wheel  : previous/next slice\n",
      "        \n"
     ]
    }
   ],
   "source": [
    "visualization.show_vol( vol, axis=2 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The objects (nerves) in the volume have two different sizes which need to be handled differently. With small nerves marked in red an large in blue."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of objects: 25\n"
     ]
    }
   ],
   "source": [
    "# Get centers\n",
    "path = in_dir+'nerveCenters.png'\n",
    "centers = imread(path)[:,:,0]\n",
    "\n",
    "centers_small = np.transpose(np.where(centers==1))\n",
    "centers_large = np.transpose(np.where(centers==2))\n",
    "\n",
    "# Show volume slice with centers.\n",
    "plt.imshow(vol[...,0], cmap='gray')\n",
    "plt.scatter(centers_small[..., 1], centers_small[..., 0], color='red', s=6)\n",
    "plt.scatter(centers_large[..., 1], centers_large[..., 0], color='blue', s=6)\n",
    "plt.show()\n",
    "\n",
    "print(f'Number of objects: {len(centers_small)+len(centers_large)}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As with the 2D example radial resampling is used for segmentation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def unfold_image(img, center, max_dists=None, r_min=1, r_max=20, angles=30, steps=15):\n",
    "\n",
    "    # Sampling angles and radii.\n",
    "    angles = np.linspace(0, 2*np.pi, angles, endpoint=False)\n",
    "    distances = np.linspace(r_min, r_max, steps, endpoint=True)\n",
    "    \n",
    "    if max_dists is not None:\n",
    "        max_dists.append(np.max(distances))\n",
    "    \n",
    "    # Get angles.\n",
    "    angles_cos = np.cos(angles)\n",
    "    angles_sin = np.sin(angles)\n",
    "    \n",
    "    # Calculate points positions.\n",
    "    x_pos = center[0] + np.outer(angles_cos, distances)\n",
    "    y_pos = center[1] + np.outer(angles_sin, distances)\n",
    "    \n",
    "    # Create list of sampling points.\n",
    "    sampling_points = np.array([x_pos, y_pos]).transpose()\n",
    "    sampling_shape = sampling_points.shape\n",
    "    sampling_points_flat = sampling_points.reshape((-1, 2))\n",
    "    \n",
    "    # Sample from image.\n",
    "    samples = map_coordinates(img, sampling_points_flat.transpose(), mode='nearest')\n",
    "    samples = samples.reshape(sampling_shape[:2])\n",
    "        \n",
    "    return samples, sampling_points\n",
    "\n",
    "def draw_segmentations(data, helper,layer=0):\n",
    "    \"\"\"Draw all segmentations for objects in the helper on top of the data.\"\"\"\n",