The INI has a new website!

This is a legacy webpage. Please visit the new site to ensure you are seeing up to date information.

Skip to content



Robust principle component analysis based four-dimensional computed tomography

Zhao, H (University of California, Irvine)
Tuesday 23 August 2011, 11:00-11:45

Seminar Room 1, Newton Institute


We present a new spatiotemporal model for 4D-CT from matrix perspective, Robust PCA based 4DCT model. Instead of viewing 4D object as a temporal collection of three-dimensional (3D) images and looking for local coherence in time or space independently, we explore the maximum temporal coherence of spatial structure among phases. This Robust PCA based 4DCT model can be applicable in other imaging problems for motion reduction or/and change detection. A dynamic data acquisition procedure, i.e., a temporally spiral scheme, is proposed that can potentially maintain the similar reconstruction accuracy while using fewer projections of the data. The key point of this dynamic scheme is to reduce the total number of measurements and hence the radiation dose by acquiring complementary data in different phases without redundant measurements of the common background structure.


The video for this talk should appear here if JavaScript is enabled.
If it doesn't, something may have gone wrong with our embedded player.
We'll get it fixed as soon as possible.

Back to top ∧