Name: how to measure cortical folding from mr images: a step-by-step tutorial to compute local gyrification index
Uploaded: 2012-01-02T13:00:00
Description: Watch this Scientific Journal Video about How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index at JoVE.com

وأيد هذا البحث من قبل المركز الوطني للبحوث في اختصاص (NCCR) &quot;SYNAPSY -- الأسس متشابك للأمراض العقلية&quot; بتمويل من مؤسسة العلوم الوطنية السويسرية (رقم 51AU40_125759). وأيد تطوير مؤشر Gyrification المحلية من خلال المنح المقدمة من الصندوق القومي للبحوث الدكتور السويسرية ماري Schaer (323500-111165) والدكتور ستيفان Eliez (3200-063٬135،00 / 1 ، 3٬232-063٬134،00 / 1 ، وPP0033 - 102864 32473B -121996) والصادر عن مركز التصوير الطبية الحيوية (CIBM) ​​من الجامعات في جنيف في لوزان EPFL و، فضلا عن الأسس Leenaards ولويس Jeantet - وقدم الدعم لتطوير البرمجيات FreeSurfer في جزء من المركز الوطني للبحوث الموارد (P41 - RR14075 ، وبيورن NCRR Morphometric المشروع BIRN002 ، RR021382 U24) ، والمعهد الوطني للتصوير الطبية الحيوية والهندسة الحيوية (R01 EB001550 ، R01EB006758) المعهد الوطني للاضطرابات العصبية والسكتة الدماغية (R01 NS052585 - 01) وكذلك الأمراض النفسية والعصبية ديسكفري (العقل) معهد ، ويشكل جزءا من التحالف الوطني للحوسبة الصور الطبية (NAMIC) ، بتمويل من المعاهد الوطنية للصحة من خلال خارطة الطريق NIH للبحوث الطبية ، منحة U54 EB005149. وقدم دعم إضافي من قبل مشروع التوحد وعسر القراءة التي تمولها المؤسسة الطبية إليسون.

1. إعادة بناء السطوح القشرية 3D هذا الجزء الأول من البروتوكول يستخدم خط أنابيب FreeSurfer القياسية كما هو موضح في ويكي ( <a href="http://surfer.nmr.mgh.harvard.edu/fswiki">http://surfer.nmr.mgh.harvard.edu/fswiki</a> ). علما بأن الأوامر مفصلة هنا وصف طريقة واحدة لتحقيق إعادة ب?...

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بروتوكول أعلاه توضح كيفية قياس مؤشر Gyrification المحلية على أساس التصوير بالرنين المغناطيسي T1 المرجحة الدماغي وإجراء المقارنات المجموعة الإحصائية. وقد تم تصميمه خصيصا لدينا وسيلة لتوطين تعطل في وقت مبكر من عملية التوسيع والقشرية مثل أهمية خاصة في كثير من الظروف العصبية...

المادة : محطة عمل يونكس أو Mac مع معالج من ذكر 2GHz أو أسرع والحد الأدنى من 4GB من ذاكرة الوصول العشوائي ، مع تثبيت FreeSurfer ( <a href="http://surfer.nmr.mgh.harvard.edu/fswiki">http://surfer.nmr.mgh.harvard.edu/fswiki</a> ، ويفضل الإصدار الأخير ، ولكن لا أقدم من الإصدار 4.0.3). من أجل احتساب مؤشر Gyrification المحلية ، ومطلوب أيضا MATLAB ( <a href="http://www.mathworks.ch/">http://www.mathworks.com/</a> ) جنبا إلى جنب مع أدوات معالجة الصور. البيانات : عينة من نوعية جيدة (عالية الدقة ، وعلى النقيض عالية) الدماغي بالرنين المغناطيسي T1 المرجحة البيانات. يجب أن يكون لديك مجموعة من المواضيع المتطابقة يفضل بالنسبة للعمر والجنس. نظرا للطبيعية بين الفرد تقلب في التشكل الدماغي ، يجب أن يكون عدد من الموضوعات في كل مجموعة تكون كافية لتحديد هوية الفرق المجموعة الحالية (أكثر -- كلما كان ذلك أفضل). ومن شأن نموذج الحد الأدنى المعقول أن يكون حجم حول 20 موضوعافي المجموعة (على الرغم من أنك يمكن أن تذهب ربما أقل إذا كانت شدة التغيرات كبيرة وإذا المتطابقة بإحكام المجموعات الخاصة بك لنوع الجنس والعمر). <table border="1" style=";text-align:right;direction:rtl"><tbody><tr><td> اسم المعدات </td><td> شركة </td><td> فهرس العدد </td><td> تعليقات </td></tr><tr><td> FreeSurfer </td><td> مارتينوس مركز التصوير الطبية ، MGH </td><td></td><td> إصدار أحدث من 4.0.3 </td></tr><tr><td> MATLAB </td><td> Mathworks </td><td></td><td> أدوات معالجة الصور </td></tr></tbody></table>

how to measure cortical folding from mr images: a step-by-step tutorial to compute local gyrification index

Cortical folding (gyrification) is determined during the first months of life, so that adverse events occurring during this period leave traces that will be identifiable at any age. As recently reviewed by Mangin and colleagues2, several methods exist to quantify different characteristics of gyrification. For instance, sulcal morphometry can be used to measure shape descriptors such as the depth, length or indices of inter-hemispheric asymmetry3. These geometrical properties have the advantage of being easy to interpret. However, sulcal morphometry tightly relies on the accurate identification of a given set of sulci and hence provides a fragmented description of gyrification. A more fine-grained quantification of gyrification can be achieved with curvature-based measurements, where smoothed absolute mean curvature is typically computed at thousands of points over the cortical surface4. The curvature is however not straightforward to comprehend, as it remains unclear if there is any direct relationship between the curvedness and a biologically meaningful correlate such as cortical volume or surface. To address the diverse issues raised by the measurement of cortical folding, we previously developed an algorithm to quantify local gyrification with an exquisite spatial resolution and of simple interpretation. Our method is inspired of the Gyrification Index5, a method originally used in comparative neuroanatomy to evaluate the cortical folding differences across species. In our implementation, which we name local Gyrification Index (lGI1), we measure the amount of cortex buried within the sulcal folds as compared with the amount of visible cortex in circular regions of interest. Given that the cortex grows primarily through radial expansion6, our method was specifically designed to identify early defects of cortical development.
In this article, we detail the computation of local Gyrification Index, which is now freely distributed as a part of the FreeSurfer Software (<a href="http://surfer.nmr.mgh.harvard.edu/">http://surfer.nmr.mgh.harvard.edu/</a>, Martinos Center for Biomedical Imaging, Massachusetts General Hospital). FreeSurfer provides a set of automated reconstruction tools of the brain's cortical surface from structural MRI data. The cortical surface extracted in the native space of the images with sub-millimeter accuracy is then further used for the creation of an outer surface, which will serve as a basis for the lGI calculation. A circular region of interest is then delineated on the outer surface, and its corresponding region of interest on the cortical surface is identified using a matching algorithm as described in our validation study1. This process is repeatedly iterated with largely overlapping regions of interest, resulting in cortical maps of gyrification for subsequent statistical comparisons (Fig. 1). Of note, another measurement of local gyrification with a similar inspiration was proposed by Toro and colleagues7, where the folding index at each point is computed as the ratio of the cortical area contained in a sphere divided by the area of a disc with the same radius. The two implementations differ in that the one by Toro et al. is based on Euclidian distances and thus considers discontinuous patches of cortical area, whereas ours uses a strict geodesic algorithm and include only the continuous patch of cortical area opening at the brain surface in a circular region of interest.

Watch this Scientific Journal Video about How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index at JoVE.com

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index

gyrification القياس (القشرية للطي) في أي سن يمثل نافذة على نمو الدماغ في وقت مبكر. وبالتالي ، فإننا التي سبق وضعها لقياس خوارزمية gyrification المحلية على آلاف نقطة خلال النصف<sup&gt; 1</sup&gt;. في هذه الورقة ، ونحن من التفصيل في حساب هذا المؤشر gyrification المحلية.

كيفية قياس الطي القشرية من صور MR : برنامج تعليمي خطوة بخطوة لحساب الرقم القياسي المحلي Gyrification

Cortical folding (gyrification) is determined during the first months of life, so that adverse events occurring during this period leave traces that will ...

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