A Cross Validation Study of Deep Brain Stimulation Targeting: From Experts to Atlas-Based, Segmentation-Based and Automatic Registration Algorithms

IEEE Transactions on Medical Imaging - United States
doi 10.1109/tmi.2006.882129
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Related search

An Atlas-Based Deep Brain Structure Segmentation Method: From Coarse Positioning to Fine Shaping

2011English

The Optimal Pallidal Target in Deep Brain Stimulation for Dystonia: A Study Using a Functional Atlas Based on Nonlinear Image Registration

Stereotactic and Functional Neurosurgery
SurgeryNeurology
2014English

Automatic Atlas-Based Three-Label Cartilage Segmentation From MR Knee Images

2012English

Validation of a Fiducial-Based Atlas Localization Method for Deep Brain Stimulation Contacts in the Area of the Subthalamic Nucleus

Journal of Neuroscience Methods
Neuroscience
2008English

Automatic Segmentation of Brain Tissues and MR Bias Field Correction Using a Digital Brain Atlas

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
1998English

Cross-Validation of Brain Structural Biomarkers and Cognitive Aging in a Community-Based Study

International Psychogeriatrics
PsychiatryClinical PsychologyGerontologyGeriatricsMental Health
2012English

Towards a Switched-Capacitor Based Stimulator for Efficient Deep-Brain Stimulation

2010English

Dual-Energy CT for Automatic Organs-At-Risk Segmentation in Brain-Tumor Patients Using a Multi-Atlas and Deep-Learning Approach

Scientific Reports
Multidisciplinary
2019English

Atlas-Based Segmentation of the Germinal Matrix From in Utero Clinical MRI of the Fetal Brain

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2008English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy