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Recent work in CT image reconstruction has seen increasing interest in the use of compressive sensing (CS) techniques to reconstruct images from sparse-view projection data. The underlying principle of CS is that if an image is known to be sparse (or, more typically, the result of some transform applied to the image is sparse), then the image can be accurately reconstructed from fewer samples than are required without the sparsity assumption.
Together with OSU and Building Diversity in Science – a nonprofit organization that encourages diverse students to enter STEM disciplines, the Departments of Mathematics and Statistics are proud to jointly host the 5th Infinite Possibilities Conference (IPC) March 1-3, 2015. With its commitment to promoting, educating and encouraging minority women in mathematical and statistical sciences, the conference attracts underrepresented minority women in these fields.
REGISTRATION FOR THE IPC IS LIVE! Please register at