Title | ||
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Discriminative MR Image Feature Analysis for Automatic Schizophrenia and Alzheimer's Disease Classification |
Abstract | ||
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We construct a computational framework for automatic central nervous system (CNS) disease discrimination using high resolution Magnetic Resonance Images (MRI) of human brains. More than 3000 MR image features are extracted, forming a high dimensional coarse-to-fine hierarchical image description that quantifies brain asymmetry, texture and statistical properties in corresponding local regions of the brain. Discriminative image feature subspaces are computed, evaluated and selected automatically. Our initial experimental results show 100% and 90% separability between chronicle schizophrenia (SZ) and first episode SZ versus their respective matched controls. Under the same computational framework, we also find higher than 95% separability among Alzheimer's Disease, mild cognitive impairment patients, and their matched controls. An average of 88% classification success rate is achieved using leave-one-out cross validation on five different well-chosen patient-control image sets of sizes from 15 to 27 subjects per disease class. |
Year | DOI | Venue |
---|---|---|
2004 | 10.1007/978-3-540-30135-6_48 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
magnetic resonance image,leave one out cross validation,feature analysis,nervous system,image features,brain asymmetry,high resolution | Disease classification,Brain asymmetry,Computer vision,Pattern recognition,Computer science,Feature (computer vision),Artificial intelligence,Discriminative model,Cross-validation,Schizophrenia,Pattern recognition (psychology),Magnetic resonance imaging | Conference |
Volume | ISSN | Citations |
3216 | 0302-9743 | 32 |
PageRank | References | Authors |
4.35 | 9 | 12 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yanxi Liu | 1 | 1908 | 125.65 |
Leonid Teverovskiy | 2 | 56 | 6.20 |
Owen Carmichael | 3 | 104 | 17.72 |
Ron Kikinis | 4 | 6723 | 1071.86 |
Martha Elizabeth Shenton | 5 | 635 | 74.55 |
Cameron S. Carter | 6 | 281 | 50.58 |
V. Andrew Stenger | 7 | 136 | 34.45 |
Simon W. Davis | 8 | 265 | 21.88 |
Howard Aizenstein | 9 | 444 | 38.76 |
James Becker | 10 | 467 | 34.93 |
Oscar Lopez | 11 | 282 | 22.65 |
Carolyn C. Meltzer | 12 | 50 | 5.93 |