What does MRI actually measure?
Radiofrequency signals emitted from hydrogen protons as they relax after excitation. Signal depends on proton density + T1/T2 relaxation properties.
What does structural MRI measure?
High-resolution anatomy: tissue boundaries, shape, thickness, volume, folding.
Why is T1 contrast used for sMRI?
It provides strong GM–WM contrast required for segmentation and morphometry.
What makes white matter bright on T1?
Short T1 relaxation time due to high myelin/macromolecule content.
What makes CSF dark on T1?
Long T1 relaxation time due to high water content.
What is segmentation in MRI and why is it essentail?
Classifying each voxel as grey matter, white matter, or CSF.
It produces tissue maps needed for VBM, DBM, SBM, and structural analyses.
What is a voxel
A 3D pixel; represents averaged MRI signal from a small cube of tissue.
What are T1 and T2?
T1 and T2 are two different relaxation processes that hydrogen protons undergo after being excited by an RF pulse in an MRI scanner.
What is T1 relaxation?
Recovery of protons’ longitudinal magnetization (Mz) back toward alignment with the main magnetic field.
How do diffrent tissues differ at their T1 relaxation speeds?
Myelin-rich tissue (white matter) → fast recovery → short T1
Water-rich tissue (CSF) → slow recovery → long T1
What are T1 weighted images and their typical appearance?
T1-weighted contrast emphasizes differences in longitudinal relaxation.
Typical appearance:
White matter: bright (short T1)
Grey matter: intermediate
CSF: dark (long T1)
used for: structural MRI (anatomy), segmentation, morphometry, cortical surfaces.
What is T2 relaxation?
Decay of transverse magnetization (Mxy) due to loss of phase coherence between protons.
Key property of T2 relaxation?
More water → slower dephasing → longer T2
Dense or myelinated tissue → faster dephasing → shorter T2
What are T2 weighted images and their typical appearance?
Contrast comes from differences in T2 decay.
Typical appearance:
CSF: bright (long T2)
Grey matter: medium
White matter: darker (short T2)
What determines contrast in a T1-weighted image?
T1 relaxation times (short T1 = bright (white matter); long T1 = dark (CSF)
What determines contrast in a T2-weighted image?
T2 relaxation (how quickly spins lose phase coherence). short T2 = dark (white matter), long T2 = bright (CSF)
Why is MRI not a picture of cellular structure?
Resolution is low + signal is indirect, cannot directly see neurons, axons, synapses.
Describe the macroscopic/mesoscopic approach to quantifying brain structure using MRI
Concerned with looking at overall shape and size of brain sructures, across multiple voxels.
- manual volumetry
- automatic segmentation algorithms
- morphometry algorithms: VBM and DBM
- surface-based algorithms
- white matter tractography
What is manual volumetry?
A macro/meso approach where trained anatomists segment ROIs from brain scans manually; gold standard.
A specific anatomical region (e.g., hippocampus) is manually traced on each slice. The number of voxels inside the tracing is counted.
Volume = voxel count × voxel size.
What is manual volumetry used for? Limitations?
Small studies, focused ROIs; it is the gold standard but hard to scale for multiple scans.
What is automatic volumetry
A technique that replaces manual segementation; using reference brain maps for guidance, tissue classification based on signal intensity, and image registration (aligning the scan to standard templates)
What is automatic segmentation used for? Limitations?
Larger population studies because it is fast, scalable and reproducible. But may be faulty with atypical brains and have poor image quality.
What are morphometry algorithms and what are they used for
Algorithms used to identify shape and structure of brain directly from MRI without need to define ROI in advance.
Types:
- VBM: mostly for GREY MATTER
- DBM
General description of VBM
In VBM, the brain is classified into WM, GM, and CSF; a single tissue class is selected, then blurred with a Gaussian kernel to give an estimate of the local amount of that tissue type at every voxel, then compared across subjects after linear or coarse nonlinear alignment.