Mindboggling morphometry of human brains

نویسندگان

  • Arno Klein
  • Satrajit S. Ghosh
  • Forrest Sheng Bao
  • Joachim Giard
  • Yrjö Häme
  • Eliezer Stavsky
  • Noah Lee
  • Brian Rossa
  • Martin Reuter
  • Elias Chaibub Neto
  • Anisha Keshavan
چکیده

Mindboggle (http://mindboggle.info) is an open source brain morphometry platform that takes in preprocessed T1-weighted MRI data and outputs volume, surface, and tabular data containing label, feature, and shape information for further analysis. In this article, we document the software and demonstrate its use in studies of shape variation in healthy and diseased humans. The number of different shape measures and the size of the populations make this the largest and most detailed shape analysis of human brains ever conducted. Brain image morphometry shows great potential for providing much-needed biological markers for diagnosing, tracking, and predicting progression of mental health disorders. Very few software algorithms provide more than measures of volume and cortical thickness, while more subtle shape measures may provide more sensitive and specific biomarkers. Mindboggle computes a variety of (primarily surface-based) shapes: area, volume, thickness, curvature, depth, Laplace-Beltrami spectra, Zernike moments, etc. We evaluate Mindboggle's algorithms using the largest set of manually labeled, publicly available brain images in the world and compare them against state-of-the-art algorithms where they exist. All data, code, and results of these evaluations are publicly available.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Structural MRI: Morphometry

Human brains are characterised by considerable intersubject anatomical variability, which is of interest in both clinical practice and research. Computational morphometry of magnetic resonance images has emerged as the method of choice for studying macroscopic changes in brain structure. Magnetic resonance imaging not only allows the acquisition of images of the entire brain in vivo but also th...

متن کامل

Multivariate revisit to "sex beyond the genitalia".

Joel et al. (1) discuss the sexual dimorphism in human brains. Using various datasets of imaging data and personality traits, they find that no single variable can separate human males from females. This is in contrast to genitalia-related data, which easily separate genders. We wish to address a known phenomenon in multivariate statistics by which groups may be perfectly separable, even if no ...

متن کامل

Anatomical Variations of Circle of Willis in 57 Human Brains

Purpose: The circle of willis is responsible for blood supply of brain, which may suffer from anatomical variations. These disturbances can lead to aneurysm or even arterial rupture. The purpose of this study was to evaluate the anatomical structure of the cerebral arteries forming the circle of willis in adult cadavers. Also, cerebral versus non- cerebral versus non-cerebral arterial walls wer...

متن کامل

Identifying global anatomical differences: deformation-based morphometry.

The aim of this paper is to illustrate a method for identifying macroscopic anatomical differences among the brains of different populations of subjects. The method involves spatially normalizing the structural MR images of a number of subjects so that they all conform to the same stereotactic space. Multivariate statistics are then applied to the parameters describing the estimated nonlinear d...

متن کامل

SPMMouse: A new toolbox for SPM in the animal brain

Introduction Voxel-based morphometry is widely used in the human brain for analysing morphology in the normal and pathological brain and is most commonly performed with the SPM (Statistical Parametric Mapping) software [1]. Although some groups have used the software in preclinical studies, this is most commonly by using fake headers with geometric parameters similar to human brains and a coher...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 13  شماره 

صفحات  -

تاریخ انتشار 2017