In this paper we describe a deconvolution technique for estimation of the neuronal signal from an observed hemodynamic responses in fMRI data. Our approach, based on the Rauch-Tung-Striebel smoother for square-root cubature Kalman filter, enables us to accurately infer the hidden states, parameters, and the input of the dynamic system. Additionally, we enhance the cubature Kalman filter with a variational Bayesian approach for adaptive estimation of the measurement noise covariance.
- MeSH
- Algorithms MeSH
- Humans MeSH
- Magnetic Resonance Imaging methods MeSH
- Monte Carlo Method MeSH
- Models, Neurological MeSH
- Neurons physiology MeSH
- Computer Simulation MeSH
- Signal-To-Noise Ratio MeSH
- Statistics as Topic MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Research Support, N.I.H., Extramural MeSH
The paper describes a set of approaches and routines designed to improve results in CT based 3D subtractive angiography of lower extremities via better global locally defined image data registration. Starting from the generic concept of 3D disparity-based flexible registration, modifications of this idea are made founded on prior anatomical knowledge, as segmentation into individual bone areas, their rigid registration followed by constrained flexible registration, and flexible registration of soft tissue volumes. After final subtraction, fusion of the individually derived volumes into the full volume of extremities provides the medically assessable results. The level of detail in minor vessels, and continuity of vessels including those in direct contact with the bones, have been found much better clinically than those achieved by standard contemporary commercial software.
- MeSH
- Algorithms MeSH
- Artifacts MeSH
- Models, Biological MeSH
- Angiography, Digital Subtraction methods MeSH
- Humans MeSH
- Tomography, X-Ray Computed methods MeSH
- Radiographic Image Interpretation, Computer-Assisted methods MeSH
- Reproducibility of Results MeSH
- Pattern Recognition, Automated methods MeSH
- Sensitivity and Specificity MeSH
- Subtraction Technique MeSH
- Radiographic Image Enhancement methods MeSH
- Imaging, Three-Dimensional methods MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Evaluation Study MeSH
- Research Support, Non-U.S. Gov't MeSH
- MeSH
- Artifacts MeSH
- Humans MeSH
- Magnetic Resonance Imaging methods instrumentation utilization MeSH
- Brain Mapping methods instrumentation MeSH
- Neurophysiology methods instrumentation trends MeSH
- Image Processing, Computer-Assisted MeSH
- Models, Theoretical MeSH
- Imaging, Three-Dimensional MeSH
- Check Tag
- Humans MeSH