// Workers AI · dad joke modeWhat did multispectral segmentation say to its date? You're in my spectrum.

Multispectral segmentation is a method for differentiating tissue classes of similar characteristics in a single imaging modality using several independent images of the same anatomical slice in different modalities (e.g., T2, proton density, T1, etc.). This makes it easier to discriminate between different tissues, as each tissue responds differently to particular pulse sequences.

See also

• Magnetic resonance imaging

Further reading

• Fletcher LM, Barsotti JB, Hornak JP (May 1993). "A multispectral analysis of brain tissues". Magn Reson Med. 29: 623–30. PMID 8505898.{{cite journal}}: CS1 maint: multiple names: authors list (link)
• Jackson EF, Narayana PA, Falconer JC (1994). "Reproducibility of nonparametric feature map segmentation for determination of normal human intracranial volumes with MR imaging data". J Magn Reson Imaging. 4: 692–700. PMID 7981514.{{cite journal}}: CS1 maint: multiple names: authors list (link)
• Vannier MW, Butterfield RL, Jordan D, Murphy WA, Levitt RG, Gado M (1985). "Multispectral analysis of magnetic resonance images". Radiology. 154: 221–224. PMID 3964938.{{cite journal}}: CS1 maint: multiple names: authors list (link)