Abstract: A method of generating and displaying quantitative T1-weighted subtraction images or maps, also known as delta T1 maps, using a “FLOW” (red/blue) color look up table (CLUT) automatically without additional processing steps or manual intervention, The delta T1 weighted maps display objective visualization via red image enhancement and spatial visualization of underlying anatomy via computational generation of small values of ‘blue’ non-enhancing regions.
Abstract: A system and method for generating simulated post-contrast T1-weighted magnetic resonance (MR) images without the use of exogenous contrast material based upon patient-specific non-contrast MR images using machine learning/artificial intelligence techniques to train the system to generate post-contrast T1-weighted magnetic resonance images based upon retrospectively collected non-contrast MR images of various sequence types including T1-weighted, T2-weighted, FLAIR (Fluid-Attenuated Inversion Recovery), and/or DWI (Diffusion-Weighted Imaging).
Abstract: A system and method for generating simulated post-contrast T1-weighted magnetic resonance (MR) images without the use of exogenous contrast material based upon patient-specific non-contrast MR images using machine learning/artificial intelligence techniques to train the system to generate post-contrast T1-weighted magnetic resonance images based upon retrospectively collected non-contrast MR images of various sequence types including T1-weighted, T2-weighted, FLAIR (Fluid-Attenuated Inversion Recovery), and/or DWI (Diffusion-Weighted Imaging).
Abstract: A magnetic resonance imaging (MRI) methodology is provided for simultaneous measurement of dynamic susceptibility contrast (DSC) MRI and dynamic contrast enhanced (DCE) MRI perfusion and permeability parameters using a combination of dual echo and spiral acquisition techniques with no contrast agent preload. T1 and T2/T2* leakage effects are eliminated, thereby permitting accurate measurement of blood volume, blood flow and vascular permeability which are used in evaluating tumor angiogenesis.
Type:
Grant
Filed:
May 22, 2008
Date of Patent:
March 11, 2014
Assignee:
Imaging Biometrics, LLC
Inventors:
Kathleen Schmainda, Eric S. Paulson, Douglas E. Prah
Abstract: A magnetic resonance imaging (MRI) methodology is provided for simultaneous measurement of dynamic susceptibility contrast (DSC) MRI and dynamic contrast enhanced (DCE) MRI perfusion and permeability parameters using a combination of dual echo and spiral acquisition techniques with no contrast agent preload. T1 and T2/T2* leakage effects are eliminated, thereby permitting accurate measurement of blood volume, blood flow and vascular permeability which are used in evaluating tumor angiogenesis.
Type:
Application
Filed:
May 22, 2008
Publication date:
November 25, 2010
Applicant:
IMAGING BIOMETRICS, LLC
Inventors:
Kathleen Schmainda, Eric S. Paulson, Douglas E. Prah
Abstract: An improved method for detecting tumor cell invasion using diffusion times as short as two (2) msec incorporates diffusion weighing imaging techniques into a standard spin echo (SE) pulse sequence to minimize the effects of compartment boundary restrictions on diffusion values and corresponding MRI imaging data related to glioma invasion.
Type:
Application
Filed:
May 22, 2008
Publication date:
November 25, 2010
Applicant:
IMAGING BIOMETRICS, LLC
Inventors:
Kathleen Schmainda, Eric S. Paulson, Douglas E. Prah