Biomedical subjects

Jo V Hajnal

Publications and source records attributed to Jo V Hajnal.

5 recordsLinked to original sources

PubMed2006

The effect of preterm birth on neonatal cerebral vasculature studied with magnetic resonance angiography at 3 Tesla.

Preterm birth is associated with a high incidence of neurodevelopmental deficits. Magnetic resonance imaging (MRI) has proved to be a valuable tool for monitoring development in the preterm brain. We used a dedicated time-of-flight (TOF) magnetic resonance angiography (MRA) protocol at 3 Tesla (3T) optimized to assess morphological characteristics of the neonatal cerebral vessels associated with preterm birth in a sample of 37 infants. We found statistically significant decreased tortuosity in all proximal segments of the cerebral vasculature (anterior, middle and posterior cerebral arteries) in the preterm infants imaged at term equivalent age compared to the term born infants, with no differences in vessel diameter between the two groups. This distinct phenotype of decreased tortuosity was shown to persist until 18 months of age in longitudinal MRA studies in infants born preterm, suggesting that this is not a delay in maturation. Biparietal head diameter measurements were significantly smaller in the preterm at term infants and were inversely correlated with middle cerebral artery tortuosity measurements in both the term born and the preterm at term infants. To our knowledge, this is the first systematic MRA study on the effect of preterm delivery on neonatal cerebral vasculature. Our intention is to build on the findings of this study by combining the data with other measurements of brain growth and vascular haemodynamics to understand more about the interdependence of vessel and brain development and their relationship to prematurity.

Adult↗

PubMed2006

Nigral degeneration and striatal dopaminergic dysfunction in idiopathic and Parkin-linked Parkinson's disease.

We have used MR segmented inversion recovery ratio imaging (SIRRIM) of the substantia nigra pars compacta to detect and correlate nigral signal change in idiopathic Parkinson's disease (PD) and parkin patients with striatal (18)F-dopa uptake. Nine PD patients, nine parkin patients, and eight control subjects were studied with a combination of MR inversion recovery sequences sensitive to nigral cell loss. Blinded independent observer rating and quantified nigral signal analysis were performed on all subjects. Striatal regions of interest were defined on T(1)-weighted MRI co-registered to (18)F-dopa positron emission tomography. On blinded observer rating of the SIRRIM dorsal and ventral nigral images, 25% (2/8) of control subjects, 44% (4/9) of PD patients, and 67% (6/9) of parkin patients were classified as abnormal. Quantified total nigral signal intensities were reduced to a greater extent in the parkin compared to PD patients. There was a greater predilection for signal reduction in the ventral nigral slice of the PD compared to the parkin patient group, who showed a more uniform involvement. All PD and parkin patients were discriminated from controls on the basis of caudate and putamen (18)F-dopa Ki reductions. Our results suggest that MR segmented inversion recovery ratio imaging shows poor sensitivity for discriminating parkin and idiopathic PD patients from normal controls. Where nigral signal abnormalities were seen, parkin patients manifested generalized nigral cell loss with widespread striatal dopamine terminal dysfunction compared with the lateral nigral targeting seen in PD and selective loss of putamen (18)F-dopa uptake.

Adult↗

PubMed2006

Beyond the g-factor limit in sensitivity encoding using joint histogram entropy.

The maximum practical speed-up that can be achieved using parallel imaging methods is widely accepted to be limited by g-factor noise. An approximate expression for the g-factor noise as a function of the principal eigenvector of the inverse sensitivity matrix is derived. This formulation allows g-factor enhanced noise to be reduced by a constrained optimization procedure with joint image histogram entropy between a reference image and a SENSE image as an image quality metric. The reference image does not need to have identical resolution or contrast. The reference image may also be used for coil calibration. The limits of the method are explored using simulated and real array coil data with high g-factor using a variety of contrast and resolution combinations. The method preserves image structure, contrast, and lesions even when these were not observable in the reference data. In all cases g-factor was dramatically reduced.

Brain Mapping↗

PubMed2006

Parallel imaging.

Explore the source record for details and available documents.

Image Enhancement↗

PubMed2004

Artifact reduction using parallel imaging methods.

Multiple receiver coils produce images with different but complementary views of a patient. This can be used to shorten scans times but there often remain image artifacts caused by patient motion or physiological processes such as flowing blood. This paper reviews how the extra information from the multiple coils can be used to reduce image artifacts. In one method, affected portions of data can be identified and discarded but enough information is still available to reconstruct an improved image. In other methods, the motion itself is determined and the corrupted data is then corrected, leading to an image with reduced artifacts. Results are presented from images corrupted by motion or by flowing blood.

Aortic Diseases↗