Brain palpation from physiological vibrations using MRI.

نویسندگان

  • Ali Zorgani
  • Rémi Souchon
  • Au-Hoang Dinh
  • Jean-Yves Chapelon
  • Jean-Michel Ménager
  • Samir Lounis
  • Olivier Rouvière
  • Stefan Catheline
چکیده

We present a magnetic resonance elastography approach for tissue characterization that is inspired by seismic noise correlation and time reversal. The idea consists of extracting the elasticity from the natural shear waves in living tissues that are caused by cardiac motion, blood pulsatility, and any muscle activity. In contrast to other magnetic resonance elastography techniques, this noise-based approach is, thus, passive and broadband and does not need any synchronization with sources. The experimental demonstration is conducted in a calibrated phantom and in vivo in the brain of two healthy volunteers. Potential applications of this "brain palpation" approach for characterizing brain anomalies and diseases are foreseen.

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

REGION MERGING STRATEGY FOR BRAIN MRI SEGMENTATION USING DEMPSTER-SHAFER THEORY

Detection of brain tissues using magnetic resonance imaging (MRI) is an active and challenging research area in computational neuroscience. Brain MRI artifacts lead to an uncertainty in pixel values. Therefore, brain MRI segmentation is a complicated concern which is tackled by a novel data fusion approach. The proposed algorithm has two main steps. In the first step the brain MRI is divided to...

متن کامل

A Two-Dimensional Convolutional Neural Network for Brain Tumor Detection From MRI

Aims: Cancerous brain tumors are among the most dangerous diseases that lower the quality of life of people for many years. Their detection in the early stages paves the way for the proper treatment. The present study aimed to present a two-dimensional Convolutional Neural Network (CNN) for detecting brain tumors under Magnetic Resonance Imaging (MRI) using the deep learning method. Methods & ...

متن کامل

Hippocampal Atrophy Studying in Alzheimer's Disease Diagnosis Using Brain MRI Images

Background and Aim: For effective treatment of Alzheimer's disease (AD), it is important to accurately diagnosis of AD and its earlier stage, Mild Cognitive Impairment (MCI). One of the most important approaches of early detection of AD is to measure atrophy, which uses various kinds of brain scans, such as MRI. The main objective of the current research was to provide a computerized diagnostic...

متن کامل

Brain Volume Estimation Enhancement by Morphological Image Processing Tools

Background: Volume estimation of brain is important for many neurological applications. It is necessary in measuring brain growth and changes in brain in normal/abnormal patients. Thus, accurate brain volume measurement is very important. Magnetic resonance imaging (MRI) is the method of choice for volume quantification due to excellent levels of image resolution and between-tissue contrast. St...

متن کامل

Evaluation of Diagnostic Value of CT Scan and MRI in Brain Tumors and Comparison with Biopsy

Abstract Background Cerebral neoplasm arises from brain, spinal cord and meningeal cells. Not only malignant cerebral neoplasm also benign tumor could lead to death due to mass effect on vital structures. Access to these tumors is difficult, and MRI and CT scan could be helpful in determining anatomical location of tumors and distinction of malignant from benign. Objective For better and ea...

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:
  • Proceedings of the National Academy of Sciences of the United States of America

دوره 112 42  شماره 

صفحات  -

تاریخ انتشار 2015