Abstract: Methods and systems are provided for analyzing diffusion weighted images (DWI) using impeded diffusion fraction models for quantitative imaging diagnostic assay of cancer, such as glandular tissue cancers. The Impeded diffusion fraction models are tissue and cancer independent and generate a single score representative of multi-compartment diffusion fractions occurring within each voxel of a DWI image.

Abstract: Provided herein is technology relating to medical imaging and particularly, but not exclusively, to devices, methods, systems, and kits related to a quantitative diffusion imaging phantom.

Abstract: Technology for measuring clinically relevant Magnetic Resonance (MR) anisotropic water proton transverse relaxation rates of cartilage in human knees and other joints is provided. A single sagittal T2-weighted magnetic resonance image of a cartilage associated with a human knee or other joint may be acquired, and an internal reference signal may be measured from this acquired sagittal image. The internal reference signal is a signal intensity (S(?))from the cartilage with its collagen fiber orientated approximately 54.7° to the main magnetic field. An anisotropic R2 relaxation rate (R(?)2a) may be calculated for the cartilage using the following equation: R(?)2a={log(S(?=±54.7°))?log(S(?))}/TE. Accordingly, an indication of a degeneration of the cartilage may be determined using the calculated anisotropic R2 relaxation rate.

Abstract: Techniques for correcting gradient non-linearity bias in mean diffusivity measurements by MRI systems are shown and include minimal number of spatial correction terms to achieve sufficient error control using three orthogonal diffusion weighted imaging (DWI) gradients. The correction is based on rotation of system gradient nonlinearity tensor into a DWI gradient frame where spatial bias of b-matrix is described by its Euclidian norm. The techniques obviate time consuming multi-direction acquisition and noise-sensitive mathematical diagonalization of a full diffusion tensor for medium of arbitrary anisotropy.

Abstract: The present invention provides systems and methods for monitoring tissue regions. In particular, the present invention provides systems and methods for detecting changes in tissue regions over a period of time. In some embodiments, the systems and methods of the present invention are used to evaluate the effectiveness of a particular treatment of a tissue region. In some embodiments, the systems and methods of the present invention provide a parametric response map approach for detecting and analyzing changes in tissue regions over a period of time to detect and monitor disease or tissue health and to monitor the impact of therapeutic interventions.

Abstract: A voxel-based technique is provided for performing quantitative imaging and analysis of tissue image data. Serial image data is collected for tissue of interest at different states of the issue. The collected image data may be normalized, after which the registered image data is analyzed on a voxel-by-voxel basis, thereby retaining spatial information for the analysis. Various thresholds are applied to the registered tissue data to predict or determine the evolution of a disease state, such as brain cancer, for example.

Abstract: Techniques for correcting gradient non-linearity bias in mean diffusivity measurements by MRI systems are shown and include minimal number of spatial correction terms to achieve sufficient error control using three orthogonal diffusion weighted imaging (DWI) gradients. The correction is based on rotation of system gradient nonlinearity tensor into a DWI gradient frame where spatial bias of b-matrix is described by its Euclidian norm. The techniques obviate time consuming multi-direction acquisition and noise-sensitive mathematical diagonalization of a full diffusion tensor for medium of arbitrary anisotropy.

Abstract: The present invention provides systems and methods for monitoring tissue regions. In particular, the present invention provides systems and methods for detecting changes in tissue regions over a period of time. In some embodiments, the systems and methods of the present invention are used to evaluate the effectiveness of a particular treatment of a tissue region. In some embodiments, the systems and methods employ functional diffusion map algorithms for imaging changes in tissue regions over time and/or in response to therapeutic interventions.

Abstract: The invention generally relates to the use of leptin in the treatment of a leptin-responsive disease or condition in a non-lipodystrophic subject. More particularly, the invention is directed to the use of leptin in the treatment of a fatty liver disease in a non-lipodystrophic subject with a relative leptin deficiency. The invention includes methods for the treatment of nonalcoholic steatohepatitis (NASH), alcoholic fatty liver disease (AFLD), and nonalcoholic fatty liver disease (NAFLD) in a non-lipodystrophic subject. The invention includes the treatment of conditions ranging from ectopic lipid accumulation (steatosis) to cirrhosis.

Abstract: The present invention provides systems and methods for monitoring tissue regions. In particular, the present invention provides systems and methods for detecting changes in tissue regions over a period of time. In some embodiments, the systems and methods of the present invention are used to evaluate the effectiveness of a particular treatment of a tissue region. In some embodiments, the systems and methods employ functional diffusion map algorithms for imaging changes in tissue regions over time and/or in response to therapeutic interventions.

Abstract: The present invention provides systems and methods for monitoring tissue regions. In particular, the present invention provides systems and methods for detecting changes in tissue regions over a period of time. In some embodiments, the systems and methods of the present invention are used to evaluate the effectiveness of a particular treatment of a tissue region. In some embodiments, the systems and methods employ functional diffusion map algorithms for imaging changes in tissue regions over time and/or in response to therapeutic interventions.

Abstract: The invention generally relates to the use of leptin in the treatment of a leptin-responsive disease or condition in a non-lipodystrophic subject. More particularly, the invention is directed to the use of leptin in the treatment of a fatty liver disease in a non-lipodystrophic subject with a relative leptin deficiency. The invention includes methods for the treatment of nonalcoholic steatohepatitis (NASH), alcoholic fatty liver disease (AFLD), and nonalcoholic fatty liver disease (NAFLD) in a non-lipodystrophic subject. The invention includes the treatment of conditions ranging from ectopic lipid accumulation (steatosis) to cirrhosis.

Abstract: The present invention provides systems and methods for monitoring tissue regions. In particular, the present invention provides systems and methods for detecting changes in tissue regions over a period of time. In some embodiments, the systems and methods of the present invention are used to evaluate the effectiveness of a particular treatment of a tissue region. In some embodiments, the systems and methods employ functional diffusion map algorithms for imaging changes in tissue regions over time and/or in response to therapeutic interventions.

Abstract: The invention provides a computer-implemented method for detecting changes in rates of water diffusion in a tissue. The invention also provides a computer program product for use in the detection of changes in rates of water diffusion in a tissue using magnetic resonance imaging (MRI) comprising a computer useable medium comprising a computer readable program code embodied therein, wherein the computer program product is capable of storing and analyzing data input from a MRI device. The invention also provides a computer system, comprising a processor and a computer program product of the invention. The invention also provides a tissue imaging system, comprising a magnetic resonance imaging (MRI) device capable of outputting data to a processor; a processor; and, a computer program product of the invention embodied within the processor.