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Kyree Eeg Emblem, Boston, MA US
Patent application number | Description | Published |
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20160058304 | SYSTEM AND METHOD FOR VESSEL ARCHITECTURAL IMAGING - A system and method for generating a report regarding a vascular health status of a subject being imaged using a magnetic resonance imaging (MRI) system includes receiving a plurality of MRI datasets, each MRI dataset acquired from the a portion of the subject including a vascular structure. The process also includes analyzing the MRI datasets to identify at least one of a temporal shift and a MR signal variation between the MRI datasets, correlating the at least one of the temporal shift and the MR signal variation to a vascular health status, and generating a report indicating the vascular health status of the subject. | 03-03-2016 |
Kyrre Eeg Emblem, Oslo NO
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20080221441 | Tumor grading from blood volume maps - An embodiment of the invention is to make possible a non-invasive grading of a tumor based on parameters determined from a frequency distribution (histogram) of values in a map representing cerebral blood volume (CBV) or cellular metabolism in the tumour. The method is especially applicable to brain tumors such as gliomas where histological grading is difficult. The invention provides a precise and consistent grading since it relies on values selected from the whole tumor (not just from hot spots); since it takes the diversity or heterogeneity of the vascularization into account by analyzing the frequency distribution (not just a mean value); and since it involves and allows for a more automated procedure wherein any subjective contributions from human operators is not critical to the resulting grading. CBV maps may be obtained by perfusion imaging using MRI or CT scanning. Cellular metabolism maps may be obtained from a glucose metabolism map obtained by positron emission tomography (PET). | 09-11-2008 |
20110170759 | VESSEL SEGMENTATION IN DCE MR IMAGING - The invention relates to segmenting blood vessels in perfusion MR images, more particularly, the invention relates to automated vessel removal in identified tumor regions prior to tumor grading. Pixels from a perfusion related map from dynamic contrast enhancement (DCE) MR images are clustered into arterial pixels and venous pixels by e.g. a k-means class cluster analysis. The analysis applies parameters representing the degree to which the tissue entirely consists of blood (such as relative blood volume (rBV), peak enhancement (ΔR | 07-14-2011 |
Kyrre Eeg Emblem, Cambridge, MA US
Patent application number | Description | Published |
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20110257519 | ESTIMATING AND CORRECTING FOR CONTRAST AGENT EXTRAVASATION IN TISSUE PERFUSION IMAGING - The invention provides a method, an image analysis software product, and a system for medical imaging analysis for estimating contrast agent extravasation in contrast agent based perfusion imaging such as MRI dynamic contrast enhanced (DCE) imaging, and in particular correction, compensation, or visualization of extravascular leakage of contrast agent in tumors. According to the invention, the effect of extravasation is directly manifested in the tail part of an observed, apparent residue function, R′(t), obtained directly by de-convoluting the expression C(t)=R′(t) | 10-20-2011 |