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i=this.ndim;if(i!==r.ndim)throw new o.ValueError("arrays must have the same dimensions");for(var n=new Array(i),t=new Array(i),a=this.selection,s=this.shape,u=r.selection,c=r.shape,e=0;i>e;e++){var f=s[e]-c[e]+1;if(0>f)throw new o.ValueError("filter cannot be greater than the array");n[e]=f,t[e]=-1}if(2===i&&3===c[0]&&3===c[1]){var g=new y(new Float32Array(v.shapeSize(s)),s);return b(g.selection,a,u.get(0,0),u.get(0,1),u.get(0,2),u.get(1,0),u.get(1,1),u.get(1,2),u.get(2,0),u.get(2,1),u.get(2,2)),g.lo(1,1).hi(n[0],n[1])}if(3===i&&1===c[2]&&1===s[2]&&3===c[0]&&3===c[1]){var h=new y(new Float32Array(v.shapeSize(s)),s);return b(h.selection.pick(null,null,0),a.pick(null,null,0),u.get(0,0,0),u.get(0,1,0),u.get(0,2,0),u.get(1,0,0),u.get(1,1,0),u.get(1,2,0),u.get(2,0,0),u.get(2,1,0),u.get(2,2,0)),h.lo(1,1).hi(n[0],n[1])}if(2===i&&5===c[0]&&5===c[1]){var X=new y(new Float32Array(v.shapeSize(s)),s);return d(X.selection,a,u.get(0,0),u.get(0,1),u.get(0,2),u.get(0,3),u.get(0,4),u.get(1,0),u.get(1,1),u.get(1,2),u.get(1,3),u.get(1,4),u.get(2,0),u.get(2,1),u.get(2,2),u.get(2,3),u.get(2,4),u.get(3,0),u.get(3,1),u.get(3,2),u.get(3,3),u.get(3,4),u.get(4,0),u.get(4,1),u.get(4,2),u.get(4,3),u.get(4,4)),X.lo(2,2).hi(n[0],n[1])}if(3===i&&1===c[2]&&1===s[2]&&5===c[0]&&5===c[1]){var j=new y(new Float32Array(v.shapeSize(s)),s);return d(j.selection,a,u.get(0,0,0),u.get(0,1,0),u.get(0,2,0),u.get(0,3,0),u.get(0,4,0),u.get(1,0,0),u.get(1,1,0),u.get(1,2,0),u.get(1,3,0),u.get(1,4,0),u.get(2,0,0),u.get(2,1,0),u.get(2,2,0),u.get(2,3,0),u.get(2,4,0),u.get(3,0,0),u.get(3,1,0),u.get(3,2,0),u.get(3,3,0),u.get(3,4,0),u.get(4,0,0),u.get(4,1,0),u.get(4,2,0),u.get(4,3,0),u.get(4,4,0)),j.lo(2,2).hi(n[0],n[1])}return this.fftconvolve(r)},y.prototype.fftconvolve=function(r){if(r=y["new"](r),this.ndim!==r.ndim)throw new o.ValueError("arrays must have the same dimensions");var 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</head>
<body>
</body>
<h3>MRI Contrast Simulator</h3>
<input type="file" id="file" name="file">
<div class="app" id="app">
<div class="il">
<canvas id="imageCanvas"></canvas>
</div>
<table class="slidecontainer" style="border-collapse: collapse">
<tr>
<td><input type="checkbox" id="scaleCheck"></td>
<td style="width:20%">: Autoscale</td>
<td class="td1">TR</td>
<td class="slidecontainer"><input type="range" min="300" max="5000" value="500" class="slider" id="tr_slider"></td>
<td style="padding: 0 0 0 10px">
<div style="width: 32px" id="trValue">500</div>
</td>
</tr>
<tr>
<td><input type="checkbox" id="noiseCheck"></td>
<td>: Add Noise</td>
<td class="td1">TE</td>
<td><input type="range" min="10" max="250" value="50" class="slider" id="te_slider"></td>
<td class="td1">
<div style="width: 32px" id="teValue">50</div>
</td>
</tr>
<tr>
<td></td>
<td></td>
<td class="td1">TI</td>
<td><input type="range" min="0" max="2500" value="0" class="slider" id="ti_slider"></td>
<td class="td1">
<div style="width: 32px" id="tiValue">0</div>
</td>
</tr>
</table>
</div>
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2Oyju4jpAfeNpIea9FOytG2wqEt10UGg8tN25ZEz1+Sdet2SDRZsZWI7BOlxwSXDM2hOXsb0PtMTykjpAJT41r0akKfG9ElRkShvU/mzHJpS1vW6IezEppfOvk2Grp0RtKOzGV2jXV5nCNSJ9S9h5Cjpe4qdE1S70nHpYzsNwptECwJ+PN43DKAGflr8c5BEte2YfS4aOhC1yzZVeQ+vLHUeL5pRPdbi6h0vJ5riNqD2r6V4yJ/bpnkJQyh204YXVvkEYC2vaLVTRNz5C9EevRPVtKe+2fLqsFIOdrflFQbhUhsvkWBTCPzzkyd0H7ar3UgM30wGrSFthpajo2wyk1h64BEjz+VS/mM8kmsqD/fOCOkpgDANwk/b0TE1nq2/nKlSmj1+7wHg46KdNaWUmtCEHiNCyE/52/LegNtEnFaoqo1WUZQJfSPX3llebQ+UbE5vS9xmfKwrxxMrf5rDLisN0msicz7uVf/yTaOaHOV0Eff5y2Qlw3eIXisbVlqxO5F6bwQRNundgBr+kcSLYP6tTQ2Xh/I17yJ05thObQcPK9zQO3rNACj8Ook0QZM6weCD/Qag+1B/Wj1M6dXf49o8yo3hRoYaC1ilToz0uG9yJ7Hk1eiSaH1B9HS5lI9oiKDqMxU7rp8vo3QfOBqpAalAfDkqIXOqZ2XzleKOtivtt7ecbVY7dGoEZTErhX8i4X09oCbyAfNNGANDr/MagJkGj5ikDUy56H6RyYV9qGNkMfxn9dqr0SOCU2E0lYLfZDR9557rnjPxqkS+iePHi2PbHq8WZvjSY6Ok6+XImWGmoHxjpHCcqx6e8eMBP2qyRwF+9b0H32Q0e8/fHj15vPxj+mqEvrNDz5YHvWDOk52XpRSp2U7Ve4PoWiT1MiG8tFWTWA8550n0xZvX6s9RO1YWGTHgHjhQVzTKqE/mnKVWri4fIsQ3a83llxSCIiIOmLgPFEAXtcGWJYpKZUroT6jcvlWAvWjjZMdB+qTWj5L+DY0h5bRp4eQLWVEO5Xvpw18RIYoaI+VZhDa61lBeBl4zH+Oys1Bvfkmn+NYdY3241Ojc+goPQeeIzvMo6UOmWMhCOqFwYseh/2wP47TpLXKoedrpObnqZUa/8pNPr8V+pcG1XyD7LuH3+0NtD+UrcESWOs4a2CoHqXJQGVGBphA2VQujqdjS23HfnKf6Hmj7SEifVWqby+o3XR+7s381mPxrbL/8KtfXf3dL3+5/OQzNEL3wprxGEw5oNqgZAcqKhXgZVM98dzb33rrrn7Whn1qydQR0Dk1UN9sH9VC9c7WP8T1w9OI0IQ1IEBKTx3Gz+8dD3h0jYLyS+VmyNah5vxWgCCoPG8/q46Z8UYZmjPVEfrBM+MjtNVwPC+3Euhgq5NbpcqKBHrLDFAeyo2KgTqXBI2Cc68lMxH966YowyM0oTW2JFCkg7hQfBCobCqjJF5WaJRbKrMFaku0Ttn6oHxtf0/k3lDbSjl0+As4pwi9itAlMSODViqDBkcbkBEyg5FCg9FSc9YUmegr9JRsPHh6/zm0HEyvPE3qyAC//k785qxFmhrWkHq0zLw+/FxokxoEa4S+/p35pnD3qxwYIC4xOoE2CXUWOpC2EpnB9CbTKLJybkG0r4cyyQyqhL49dF2k2L3kikY+YouBwzmj7c22JwIJa217okroyMfQUP48gl4yZ6PzloOHc0fbnU0hNDHpOfl8C9l61bD7lEPiDWrPzpfUlI0B9LYsqEOvyaxBAtf2ozxOlhUqV+TPIZZ0AwwTWib7UagT+GYR3U8DQkUvzzUScWEp55fnq5F673jjMay9uCFc2F0OrTVadpLVYSOoSTWoDZrEUu7sIKMupQkmz3kq9EhTh+XQRE3nYpCtgV5LZFArMxdWA+VyKb32akSkXhOqf7YdIxiWcvDZZg1wjex7hQ+mFJbjiZiRoST1GmLxNnPo+TXqIOkndCGZ1zrfG5CtQd0i0bn3wG0hQQ3Rera2J/xr74WuEdrKgTLiQiLatiQqcw94mzPtxr57DgoE+inUVzUrHIJhKUd0laN2MEeytiQtE2MrqVvHC+nm0Xs4OjBMaA/qjJYOGUU01QC8HbSVsO4nekvden9CUZU2i0zb12AToTVkB8pt72Tr2fuGWErdErW1dkTaF5VaRueerC60bHRWhJFkojPHqr8nVYtwFiT1iLKJ0niV+i8zkcM3hDefLg82jNB7EpnoKfNWUBtq2pKhRmqSOfKW0RyfLf82CP27P//58ogxVapXcr82I6NaBC4BTXbasoyWmaiROkpuue6p5d8GoSOfnqTlSdlBQseMGCCUSRLj317nqMmN+bm1vsn22QjQrmzbtD4dkjtff2F5YAnN3r0U5l37klEzyCAiWetA947MsjytfOucpbaQ2LStBR8/OZZd6tFh/ZkwhH5ifBqRdtTMSIjsySwHlT/OQOeITByLUl1LtBxb02YO9VupHExAvkkiZVj0TlGNlKMiEynMskiULslR6riaTm0RilOq+yhqRZLwcmrbIevCf669Svscf+ZddQ6tYqQdFKW9RrWIPBo6f6QevWTwQD+OEITXYcQE7Z4/IzV+8Mzywy220NdP7hwtzM+JVlY7uNTRwYgINBrt/D3r5JVFfSX7zLr090DWh8TWNon2nIe1XJd9QxLHEbo8aH/y9NPLo4VC2hGdoejUGmmyHZpBTsLaOmpo5cjzWQKPaDO1rbQBklvWg14HaEv36DzTOeV4Q4vQzmqHh+yoLCNlJqRkQNa3tv4eo2Tu0WfauIX7oBAAiyhZhC90YbXjU2stepFau4PtPVO16DAC7xIvB7QVmjhWarFWm7No/WBF5+bVjVnmbISG0Ei6M8t4wVmnRTsJ9vH2W2NQ+Tk8qQEGU6sTP84rg7fX2q93m1vKK41PDS35M9A/CszC+Igw7WPBCJqdNCPlz4APnuygtQa2RGsEtkS1hNii3TVttNoF6DUZoa2bQRAWGhFauc9ryqFNvvv95YF9aeGNRMN5x/BNY22ZgXVOXvdeWO0eDdpIWxSqq+wD+llLN0aSEzqaevzs2eXBE7TITHjySraQmdAG2xrQKLzt9HjEJMlCbdU2C6rzOjLrXySUSzmAknYcpRzg2x9eXf30h/ND3jAIzeWmwSzhdeQWZC/PNMheezWJtf3X6ItM+1BvWU88pwndJd2AzA++tDw+pEvKoVaERWkelbOz1osK6HS+rUlEKgwqbbVox67d1hLRoHRH5dLuHc6b58bk0ATLpTUgtzZgJHFJZE5EsLXJDnRm/71JzSlO4Nb1ZyPdAPmUA3/uwv7kheOlHpm0w5PTGsgthM5IxQc5HdEM1mhzzcRBW810AyhC90g3QD5CV761lKcdHC1K13Ti2hErez4uMdqrRbE9XmVQJ9o05PNau7pSeK/+2JQDIJcWqQcktgQnNGFKEq0tdRYvMpMYXCC+7QGtXlqfu9F5MHVCG1G6dNnIRGmAzuLbXtiiLpCHI38ehRwD3nb+GGAMNZkPKNxXlbHzZ9BN6Ke9Lxh31qUJS+pzBJFaRmspiwZFxbWw6qPV1ZP5IJBpLiyB8LkHJR0nxwopb7eUo/hHs8vMLF16WqRec7AlJBvfNEo3hFGxI1BZpfJaCUXmAI8eP14eGQTeo18vdDbtUHJpCXVKjdTRQe4BP5cmryVRpl2tEvaQuNSnaE9J5oMApox/anUjsCCRX7bjRN+sxFkW1akT0GDZIV4UtyLcmkJbeBKRzLz+vM7asS1t6lme1a6SzOBuLCeZ3/7PZ69e//Xtj0RYaMgcELot5TCWUNxKKrNUCmx1UkZmDAJta8DPo0XiUqqBNsitN7V9otVFa6PkYFynK7SUOU4sOoNGoZ98WUuY5aaAGgt5sUWljiAHLDuArVjylqRekx59Eh4jI9WMR+dy7kx0uymUxHOjWzSpI8josba8BK8HRdjayLYWpb7C67RxalKNeuLRGbQLnTjZHcuMLUVl+fOeZNCwJCZk/S1h9oBVp+wYaHmzjbL0m4jOoI/Q18fFYF3ajNLKWiRRE6WJPYkhReUiaFLI/VvxJlYtVO9MdLZQ3Tj6XUYuOoM+Kce1+DiDCVqXNqV2ojR/zus8Pmh7kVkTMxvVemD1B11FaIsSlZmTi85ALDIkozPol0MbUdqErUu3SK0hBcoMXAuayFQXfkPIH9cKVkO0fGtCRsahPjrDH/4NmPnoDDoKXRGlnV+2ZKTmAyBlXgstIkJc2uhnzmiBOa3nysqcj85TNL5hvyl03iLq0U9o4Ly1r5RPyygdARLtQeYMUuoRaJOrlmifRsfPzp3Ze+xrFhoWOgutr0u7qQdY3vAtO0WL0pEO5tKsFQXlefAz30ZDkzsqs7W/dnwpOh+MmxOdzaAG7t4LVJdqEG2/+tYwfh1OmL8WN/6oVkKdF410LTLxwW2VkpeFSYn69xJdk1DCz6Xtj9fl86jnKjJzxKeJZukboYFxZ1qM0s5NIqDnqIMjkbqXzCAiTRaUybca6Dj0h9UnkX6Q52+V+e3nb/9N0SgzGCC0PjDFG0RQkJpAR2OjQbQGUiMiT61cHDqPdT6tzrXntdoPkWsmNcrjMnsBZmaRmcOjdCg6d5AZ9Bc6QFRqDjpYdqwXQUoDackjnydZomJYAku0lKlGPkBl0b+lcrzXW2SuTjU6yQz659DA+ctwpB6I1u5bTIHy1+KAOlN7XkqiDRyXTb5uyRwVBZRkrimzRGQCAX4ufgzVCXhBgrgTWqQZB7z71tXD6+8tPzh0lBmMidDOXWoo9QDGch51uPY8HxgQHWhQkrkHvH6yri1EJwXaSBtB9UD/pWQuEfnsjc4yg3EpR2DppSg1W87jHZmVWspaQpM5Ko21nyWwVTeqd7TuNZEedYqKDA7624vOE8WxHSAzGJNyEDdTJ988+dpaCy/9wN3y6+88me2ZKGKlICQJl4CL0yK0JaAlNM4hy9bKGHH+qMiAy/z2t27Hg69opG4CB8kMxt4UYsWj8MEgwOsAdBR1IJBRWYMGSg4iBlsbcP6cNvARmayyCYgrJxjBj/PKiBCpazYqy8gssaK0ykCZwdgITdx8PG38jSc60RtFkBkQYMkkkdFZE4Sk469FRfQitUW0DgSvCz9fJiKDo+AhVjRkZAZudB4sM1hHaBCQuig0qJAaRMTOyAzk61JqTXhLaI53fhCtw35knhKBB8dvXhvBekIDR+rwch6olBrwgSJx+MBz4T1ZLNk0LMksUAetfF4Oh/bVztNTZJCX+XqSue6dczWsK/TMdDrcKBrr1CArNWgeuAUrOkqZIkJrAt4JjVx0qj+fQPSaFNoS2WKkzBp7kRlsIPRCYQUkInXNCoiGFrU9obvIPPHeJy/N/3KwD69DVOa7sid6iAx4imGxdc4s2U5oUMirQ5EaNKQgHBpYHjUlVuT0JgCXbWYRBpSkjtBb5ojIYG8yg22FBlqkxi9llpRkK6kBl4oks4QG1mtHQgfxpG6RGByJDBaZSyKDPcoMthcaaO/9wBo2ZJ+okRr0EpsjJStFUxJPq4t1jig9RQY8Mms3fsReZQb7EJqQfxxQIzUIiu0JRcdEpZPRnOg9qXqXp6UYpyoz2JfQhUgNomLPg/JH7WIDeRzfH6/J4739NWh/bz++jyy/xFG5SkSOsHeZwb6EBpbU+EuYJYKnozUIpiKWVFmJQEnkDM0SAyEyaJP5wTQu+BvAis84HMT+hAaa1BQBaqQGIg0BJUmkFNgfz8njWsWtmSwWJZGjAhNmVMaNe8Mfs45in0IDLjWiM6I0Qbn2JPnnr37t9nGEZLTOoIlEZfPXespLmBNqEXlmeX95BDe1mFn/FyZR9it0CXYDmY7WoCJi7wX3isAlBjUi09Xw5rfTpuixk3xZ43SFJmqjNTEwatfiCqvRkFJwHr7/i+XRxAnKDE5faKI2tyZIbDAocqdFtWj+auFjDmX+aNqUL/DZuczgfIQGrWkIR4ncwzFExRIkaIm+GgcSEycsMzgvoTmVEXuUPB50TrDWec9RZnC+Qguq8uszQ5UYzCtKeD/N6eXMknsjNOe+yT2LfCethqbAfpfmPO6l0Jxzk1tPJT5xZFag38yeIPdeaM6pyW2mEJyszCeWYkguQhfYWvKQtBYZmfFxEzt6T0YtF6HPlajM85uLTi9Xthj7QTMXNuLxJDNffpuknTcCEk8RGenFGckMLhH6wllxidAXzoqL0BfOiovQF86Ki9AXzoqL0BfOiovQF86Ki9AXzoirq/8H9pCavKPkRxkAAAAASUVORK5CYII=">
<script>
// NOTE: NumJs is available globally under the name 'nj'
//var size = 150;
var t1, t2, pd;
var tr=500, te=50, ti=0;
var t1_relax, t2_relax, ti_recovery;
var noise;
var $imageCanvas;
function prepareImage(image) {
var aspect = image.height / image.width;
var img = nj.images.read(image);
pd = img.slice(null, null, [0, 1, 1]);
t1 = img.slice(null, null, [1, 2, 1]);
t1.dtype = 'float32';
t1 = t1.multiply(10);
t2 = img.slice(null, null, [2, 3, 1]);
t2.dtype = 'float32';
t2 = t2.multiply(2);
var te_array = nj.ones(pd.shape).multiply(te);
//var tr_array = nj.ones(pd.shape).multiply(tr);
//t1_relax = nj.exp(tr_array.divide(t1).multiply(-1)).multiply(-1).add(1)
calcT1Relax();
t2_relax = nj.exp(te_array.divide(t2).multiply(-1));
noise = nj.random(pd.shape).multiply(30).subtract(15);
//$imageCanvas.width = W * 3; $imageCanvas.height = H * 3;
$imageCanvas.width = 500;
$imageCanvas.height = $imageCanvas.width * aspect;
calculateImage();
}
function loadImage(src) {
var $image = new Image();
$image.crossOrigin = 'Anonymous';
$image.onload = function() {
//var $image2 = document.getElementById("brainMapImage");
prepareImage($image);
};
$image.src = src;
}
function handleFileSelect(e) {
var file = e.target.files[0];
var reader = new FileReader();
reader.onload = function(e) {
loadImage(reader.result);
};
reader.readAsDataURL(file);
}
document.getElementById('file').addEventListener('change', handleFileSelect, false);
function calculateImage() {
var image;
image = t2_relax.multiply(pd).multiply(t1_relax);
noiselessMax = image.max();
if (noiseCheck.checked == true) {
image = nj.clip(image.add(noise), 0, 255);
}
if (scaleCheck.checked == true) {
image = image.multiply(255 / noiselessMax).add(2);
}
nj.images.save(image, $imageCanvas);
}
var tr_slider = document.getElementById("tr_slider");
var te_slider = document.getElementById("te_slider");
var ti_slider = document.getElementById("ti_slider");
var scaleCheck = document.getElementById("scaleCheck");
scaleCheck.addEventListener('change', calculateImage, false);
var noiseCheck = document.getElementById("noiseCheck");
noiseCheck.addEventListener('change', calculateImage, false);
function calcT1Relax() {
var tr_array = nj.ones([216, 180, 1]).multiply(tr);
if (ti > 0) {
var ti_array = nj.ones([216, 180, 1]).multiply(ti);
t1_relax = nj.abs(nj.exp(ti_array.divide(t1).multiply(-1)).multiply(-2).add(1).add(nj.exp(tr_array.divide(t1).multiply(-1)).multiply(-1)));
} else {
t1_relax = nj.exp(tr_array.divide(t1).multiply(-1)).multiply(-1).add(1);
}
}
tr_slider.oninput = function() {
tr = Number(this.value);
document.getElementById('trValue').innerHTML = this.value;
//if(te > tr) {
// te_slider.value = tr;
//}
calcT1Relax();
calculateImage();
}
te_slider.oninput = function() {
te = Number(this.value);
document.getElementById('teValue').innerHTML = this.value;
var te_array = nj.ones([216, 180, 1]).multiply(te);
t2_relax = nj.exp(te_array.divide(t2).multiply(-1));
calculateImage();
}
ti_slider.oninput = function() {
ti = Number(this.value);
document.getElementById('tiValue').innerHTML = this.value;
calcT1Relax();
calculateImage();
}
$imageCanvas = document.getElementById('imageCanvas');
prepareImage(document.getElementById('brainMapImage'))
</script>
</html>