News Finding: 3D Printing and Additive Manufacturing just published our article describing bitmap methods for the high-resolution and functionally-graded #3Dprinting of #biomedical datasets:  @username 
Paper Finding: This approach greatly expands the number of different anatomical structures that can be represented by different colors or materials (e.g., through the use of multiple thresholds) and, as such, can improve the interpretive value of 3D-printed anatomical models.
News Context: 3D Printing and Additive Manufacturing just published our article describing bitmap methods for the high-resolution and functionally-graded #3Dprinting of #biomedical datasets:  @username 
Paper Context: Consequently, even the smallest gap in a fine structure can lead to significant error or nonprintability of an .stl file, requiring the user to digitally generate regions of the structure that are often not present in the original data. This approach greatly expands the number of different anatomical structures that can be represented by different colors or materials (e.g., through the use of multiple thresholds) and, as such, can improve the interpretive value of 3D-printed anatomical models. To correctly represent routine medical CT data, for example, 4096 different material mixtures (corresponding to the 12-bit discretization of Hounsfield unit radiodensity values typically recorded) would need to be defined and associated with 4096 separate .stl files.