| Location/generic methodology | Method | Advantages | Disadvantages | 
| Brain/linear and regional measures | Third ventricle width | Easy to implement; rapid analysis; standard acquisition methods; enables targeting of eloquent regions | Limited anatomical scope; may miss subtle effects; may exhibit user bias; high user input | 
| Third ventricle volume | |||
| Brain width | |||
| Corpus callosum width | |||
| Volume on central brain slices | |||
| Stereology | |||
| Brain/whole brain segmentation approaches | CSF volumes | Increased automation reduces user bias and user input; generally higher measurement precision | Complex analysis methods; possibly more complex acquisition schemes | 
| BPF | |||
| WBR | |||
| BICCR | |||
| Fuzzy connectedness | |||
| Probabilistic segmentation (SPM) | |||
| TDS | |||
| SIENAX | |||
| Brain/registration‐based methods | MIDAS | Regional atrophy may become apparent | Complex analysis methods; limited application to multiple sclerosis to date | 
| Voxel‐based morphometry | |||
| SIENA | |||
| Spinal cord | Manual outlining | Straightforward | Possible user bias; high user input | 
| Semi‐automated outline of 3D axial images | Precise | ||
| Automated whole cord volume measurement | Little user input | Complex analysis methods; limited application to date | |
| Optic nerve | Manual outlining | Straightforward | Possible user bias; high user input | 
| Semi‐automated outline of 3D axial images | Precise | ||
| Automated whole nerve volume measurement | Little user input | Complex analysis methods; limited application to date | 
TDS = template‐driven segmentation; MIDAS = Medical Image Display and Analysis Software.
Source: David H. Miller, Frederik Barkhof, Joseph A. Frank, Geoffrey J. M. Parker, Alan J. Thompson. Measurement of atrophy in multiple sclerosis: pathological basis, methodological aspects and clinical relevance . Brain 2002. DOI: http://dx.doi.org/10.1093/brain/awf177
 
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