Researchers at the University of California, Los Angeles (UCLA) have developed an automated, highly accurate approach to acquire anatomical data from animal subjects in pre-clinical research. The invention provides a means to low-cost access of pre-clinical imaging.
Translational and basic research on disease relies heavily on small animal imaging. Computed tomography (CT) and Magnetic Resonance Imaging (MRI) are frequently used in conjunction with Positron Emission Tomography (PET) to provide the anatomical data in pre-clinical research. However, wide use of CT and MRI is limited by their high costs and their need for specialized staff. In addition, their large size requires the dedication of valuable facility space and coordination of usage by many researchers. Therefore, there is need for affordable and convenient anatomical analysis of animal models. Computational registration of mouse anatomy has the potential to save research institutions considerable equipment and imaging expenses and reduce the time researchers expend on retrieving anatomical data. These advancements will expand research capacity by providing greater accessibility to pre-clinical imaging. Such a widespread expansion in pre-clinical imaging tools would especially accelerate research and drug development for cancer, neurodegenerative disease, autoimmunity, and metabolic disorders.
Researchers at UCLA have developed a computerized approach to enable the estimation of 3 dimensional internal mouse anatomy from low-cost, non-tomographic, bench top imaging systems.
The researchers have developed a functional prototype.
Country | Type | Number | Dated | Case |
United States Of America | Issued Patent | 9,524,552 | 12/20/2016 | 2011-395 |
Research & Drug Discovery Tools, Imaging, CT, MRI, Digital imaging, Preclinical