We present an ultrahigh resolution in vivo human brain magnetic resonance imaging (MRI) dataset. It consists of T1-weighted whole brain anatomical data acquired at 7 Tesla with a nominal isotropic resolution of 250 μm of a single young healthy Caucasian subject and was recorded using prospective motion correction. The raw data amounts to approximately 1.2 TB and was acquired in eight hours total scan time. The resolution of this dataset is far beyond any previously published in vivo structural whole brain dataset. Its potential use is to build an in vivo MR brain atlas. Methods for image reconstruction and image restoration can be improved as the raw data is made available. Pre-processing and segmentation procedures can possibly be enhanced...
Purpose: In this work, we present the MASSIVE (Multiple Acquisitions for Standardization of Structur...
High field MRI systems, such as 7 Tesla (T) scanners, can deliver higher signal to noise ratio (SNR)...
One of the main goals of ultra-high field MRI is to increase the spatial resolution reached in struc...
We present an ultrahigh resolution in vivo human brain magnetic resonance imaging (MRI) dataset. It ...
Here, we present an extension to our previously published structural ultrahigh resolution T1-weighte...
This whole-brain in vivo diffusion MRI dataset was acquired at 760 µm isotropic resolution and sampl...
This whole-brain in vivo diffusion MRI dataset was acquired at 760 µm isotropic resolution and sampl...
We present high-resolution in vivo anatomical scans with 3D whole-brain coverage and an isotropic re...
To demonstrate the image quality that can be obtained for multiple contrasts using ultra-high resolu...
We introduce HumanBrainAtlas, an initiative to construct a highly detailed, open-access atlas of the...
OBJECTIVES:To demonstrate the image quality that can be obtained for multiple contrasts using ultra-...
Objectives To demonstrate the image quality that can be obtained for multiple contrasts using ultra-...
<p>Full dataset (140 slices) of the highest resolution 3D ToF scan (shown in Fig. 8).</p
Magnetic resonance imaging at ultra high field opens the door to quantitative brain imaging at sub-m...
High field MRI systems, such as 7 Tesla (T) scanners, can deliver higher signal to noise ratio (SNR)...
Purpose: In this work, we present the MASSIVE (Multiple Acquisitions for Standardization of Structur...
High field MRI systems, such as 7 Tesla (T) scanners, can deliver higher signal to noise ratio (SNR)...
One of the main goals of ultra-high field MRI is to increase the spatial resolution reached in struc...
We present an ultrahigh resolution in vivo human brain magnetic resonance imaging (MRI) dataset. It ...
Here, we present an extension to our previously published structural ultrahigh resolution T1-weighte...
This whole-brain in vivo diffusion MRI dataset was acquired at 760 µm isotropic resolution and sampl...
This whole-brain in vivo diffusion MRI dataset was acquired at 760 µm isotropic resolution and sampl...
We present high-resolution in vivo anatomical scans with 3D whole-brain coverage and an isotropic re...
To demonstrate the image quality that can be obtained for multiple contrasts using ultra-high resolu...
We introduce HumanBrainAtlas, an initiative to construct a highly detailed, open-access atlas of the...
OBJECTIVES:To demonstrate the image quality that can be obtained for multiple contrasts using ultra-...
Objectives To demonstrate the image quality that can be obtained for multiple contrasts using ultra-...
<p>Full dataset (140 slices) of the highest resolution 3D ToF scan (shown in Fig. 8).</p
Magnetic resonance imaging at ultra high field opens the door to quantitative brain imaging at sub-m...
High field MRI systems, such as 7 Tesla (T) scanners, can deliver higher signal to noise ratio (SNR)...
Purpose: In this work, we present the MASSIVE (Multiple Acquisitions for Standardization of Structur...
High field MRI systems, such as 7 Tesla (T) scanners, can deliver higher signal to noise ratio (SNR)...
One of the main goals of ultra-high field MRI is to increase the spatial resolution reached in struc...