Penalized discriminant analysis of [15o]-water PET brain images with prediction error selection of smoothness and regularization hyperparameters

IEEE Transactions on Medical Imaging

Volumn 20, Issue 5, 2001, Pages 376-387

  Kustra, Rafal ^a,b   Strother, Stephen ^c  

^a UNIVERSITY OF TORONTO   (Canada)

^b STANFORD UNIVERSITY   (United States)

^c VETERANS AFFAIRS MEDICAL CENTER   (United States)

Author keywords

Bootstrap; Discriminant classification; Functional neuroimaging; PET; Prediction error; Regularization

Indexed keywords

BRAIN; MEDICAL IMAGING; NEUROPHYSIOLOGY; POSITRON EMISSION TOMOGRAPHY; SPLINES; TENSORS;

BASELINE ACTIVATION IMAGE; CANONICAL IMAGE; LINEAR DISCRIMINANT ANALYSIS (LDA);

IMAGE ANALYSIS;

ARTICLE; BLOOD FLOW; BRAIN; COMPUTER ASSISTED EMISSION TOMOGRAPHY; DISCRIMINANT ANALYSIS; EPIDEMIOLOGY; HUMAN; IMAGE PROCESSING; PHYSIOLOGY; PREDICTION AND FORECASTING; STATISTICAL MODEL; STATISTICS; VASCULARIZATION;

BRAIN; DISCRIMINANT ANALYSIS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LINEAR MODELS; PREDICTIVE VALUE OF TESTS; REGIONAL BLOOD FLOW; SELECTION BIAS; TOMOGRAPHY, EMISSION-COMPUTED;

EID: 0035324510     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/42.925291     Document Type: Article

References (62)

1. On the detection of activation patterns using principal components analysis
2. Individual differences in cerebral metabolic patterns during pharmacotherapy in obsessive-compulsive dissorder - A multiple regression discriminant analysis of positron emission tomographic data
3. The functional neuroanatomy of simple and complex sequential finger movements: A PET study
4. Alternative statistical models for the examination of clinical positron emission tomography/fluorodeoxyglucose data
5. Smoothing noisy data with spline functions
6. Improvements on cross-validation: The .632+ bootstrap method
7. The use of multiple measurements in taxonomic problems
8. 15O tissue activity
9. Multivariate adaptive regression splines (with discussion)
10. An overview of predictive learning and function approximation
11. Imaging neuroscience: Principles or maps?
12. Functional connectivity: The principal component analysis of large (PET) data sets
13. Statistical parametric maps in functional imaging: A general linear approach
14. A multivariate analysis of PET activation studies
15. Somatotopic mapping of the primary motor cortex in humans: Activation studies with cerebral blood flow and positron emission tomography
16. Generalizable patterns in Neuroimaging: How many principal components?
17. Penalized discriminant analysis
18. Neural classifier construction using regularization, prunning and test error estimation
19. Neural network classification of normal and Alzheimer's disease subjects using high-resolution and low-resolution PET cameras
20. 15O]-water PET studies with a new nonlinear neuroanatomical registration algorithm
21. Plurality and resemblance in fMRI data analysis
22. Massive weight sharing: A cure for extremely ill-posed problems
23. Interactions between electrical activity and cortical microcirculation revealed by imaging spectroscopy-implications for functional brain mapping
24. Spatial pattern analysis of functional brain images using partial least squares
25. A regional covariance approach to the analysis of functional patterns in positron emission tomographic data
26. Scaled subprofile model: A statistical approach to the analysis of functional patterns in positron emmision tomography data
27. Nonlinear versus linear models in functional neuroimaging: Learning curves and generalization crossover
28. Canonical ridge analysis with ridge parameter optimization
29. Use of ridge regression for improved estimation of kinetic constants from PET data
30. Noise characteristics of 3-D and 2-D PET images
31. MEG-based imaging of focal neuronal current sources
32. Analysis of individual brain activation maps using heirerchical description and multiscale detection
33. Abnormal cerebral glucose metabolism in HIV-1 seropositives with and without dementia
34. Statistical analysis of functional MRI data in the wavelet domain
35. Complexity affects regional cerebral blood flow change during sequential finger movements
36. Role of the premotor cortex in recovery from middle cerebral artery infarction
37. Testing for a signal with unknown location and scale in a stationary gaussian random field
38. 15O]-water PET
39. Quantitative comparisons of image registration techniques based on high resolution MRI of the brain
40. Principal component analysis, variance partitioning and functional connectivity
41. Activation pattern reproducibility: Measuring the effects of group size and data analysis models
42. Multidimensional state-spaces for fMRI and PET activation studies
43. Measuring activation pattern reproducibility using resampling techniques
44. Canonical ridge and econometrics of joint production
45. Rapid automated algorithm for aligning and reslicing PET images
46. Automated image registration: II. Intersubject validation of linear and nonlinear models
47. Characterizing the response of PET and fMRI data using multivariate linear models
48. A three-dimensional statistical analysis for CBF activation studies in human brain
49. Searching scale space for activation in PET images
50. A unified statistical approach for determining significant signals in images of cerebral activation