Difference between revisions of "Inter-slice Motion Correction for fMRI"
From NAMIC Wiki
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| − | Objective | + | == Objective == |
* To perform inter-slice motion correction in fMR images using affine and non-rigid registration methods. | * To perform inter-slice motion correction in fMR images using affine and non-rigid registration methods. | ||
| − | Progress | + | == Progress == |
| − | * Implemented and tested b-Spline registration with | + | * Implemented and tested b-Spline/affine registration with Wells-MI and KL metrics. |
| − | * | + | |
| + | == Results == | ||
| + | === Affine === | ||
| + | * affine motion with all metrics degrades the inter-slice registration. | ||
| + | |||
| + | |||
| + | == Open questions == | ||
| + | * Intensity normalization / histogram equalization - would these have any impact on inter-slice registration? Would they affect the computation of the joint-entropies for MI/KL metrics. | ||
| + | * Should there be some regularization factor on the registration to limit the motion ? | ||
| − | To Do | + | == To Do == |
* Right now, registration is done on a slice by slice basis. However, due to the low resolution of fMRI and the absence of gradients result in low registration accuracy. We are investigating using alternative image-to-image metrics like the KL divergence. We are also looking at simultaneously registering multiple slices. | * Right now, registration is done on a slice by slice basis. However, due to the low resolution of fMRI and the absence of gradients result in low registration accuracy. We are investigating using alternative image-to-image metrics like the KL divergence. We are also looking at simultaneously registering multiple slices. | ||
| − | Key Investigators | + | == Key Investigators == |
* Firdaus Janoos, Raghu Machiraju, Steve Pieper, Wendy Plesniak. | * Firdaus Janoos, Raghu Machiraju, Steve Pieper, Wendy Plesniak. | ||
| − | Links | + | == Links == |
Revision as of 09:07, 30 August 2007
Home < Inter-slice Motion Correction for fMRIContents
Objective
* To perform inter-slice motion correction in fMR images using affine and non-rigid registration methods.
Progress
* Implemented and tested b-Spline/affine registration with Wells-MI and KL metrics.
Results
Affine
- affine motion with all metrics degrades the inter-slice registration.
Open questions
* Intensity normalization / histogram equalization - would these have any impact on inter-slice registration? Would they affect the computation of the joint-entropies for MI/KL metrics. * Should there be some regularization factor on the registration to limit the motion ?
To Do
* Right now, registration is done on a slice by slice basis. However, due to the low resolution of fMRI and the absence of gradients result in low registration accuracy. We are investigating using alternative image-to-image metrics like the KL divergence. We are also looking at simultaneously registering multiple slices.
Key Investigators
* Firdaus Janoos, Raghu Machiraju, Steve Pieper, Wendy Plesniak.
