Although the transcription factors required for the generation of oligodendrocytes and CNS myelination during development have been relatively well established, it is not known whether continued expression of the same factors is required for the maintenance of myelin in the adult. Here, we use an inducible conditional knock-out strategy to investigate whether continued oligodendrocyte expressio...

OBJECTIVE Markov random field (MRF) models have been traditionally applied to the task of robust-to-noise image segmentation. Most approaches estimate MRF parameters on the whole image via a global expectation-maximization (EM) procedure. The resulting estimated parameters are likely to be uncharacteristic of local image features. Instead, we propose to distribute a set of local MRF models with...

The 5'-flanking region of the myelin basic protein (MBP) contains several regulatory elements that differentially contribute to the cell type-specific transcription of MBP in cells derived from the central nervous system. The distal regulatory element, termed MB3, had previously been shown to have characteristics of a cell type-specific enhancer element and bind to multiple brain-derived nuclea...

Magnetic resonance fingerprinting (MRF) is highly promising as a quantitative MRI technique due to its accuracy, robustness, and efficiency. Previous studies have found high repeatability reproducibility of 2D MRF acquisitions in the brain. Here, we extended our investigations 3D covering whole brain using spiral projection k-space trajectories. Our travelling head study acquired test/retest da...

In this paper, a Bayesian method for face recognition is proposed based on Markov Random Fields (MRF) modeling. Constraints on image features as well as contextual relationships between them are explored and encoded into a cost function derived based on a statistical model of MRF. Gabor wavelet coefficients are used as the base features, and relationships between Gabor features at different pix...

A novel image reconstruction method called multiple regression fitting electrical impedance spectro-tomography (mrf-EIST) has been proposed in order to realize the quantitative of dead cell fraction ϕd and concentration cc a huge amount environment. mrf-EIST statistically selects frequencies extract two variables ψd ψc, which quantifyϕd cc, respectively. The images a...

Background The skeletal muscle toxicity that accompanies the chemotherapy drug doxorubicin (DOX) may lead to cancer patient weakness and fatigue. This myotoxicity involves myogenic regulatory factor (MRF) disruption which alters muscle integrity and regeneration. Endurance exercise enhances MRF expression and thereby may mitigate DOX-induced MRF disruptions. This study examined the effects of e...

Magnetic Resonance Fingerprinting (MRF) is a relatively new approach that provides quantitative MRI measures using randomized acquisition. Extraction of physical quantitative tissue parameters is performed off-line, based on acquisition with varying parameters and a dictionary generated according to the Bloch equations. MRF uses hundreds of radio frequency (RF) excitation pulses for acquisition...