Publication Date


Document Type


Committee Members

Michael Bryant (Committee Member), Fred Garber (Committee Member), Lang Hong (Committee Member), Randolph Moses (Committee Member), Brian Rigling (Advisor)

Degree Name

Doctor of Philosophy (PhD)


Optical tomosynthetic imaging of 3-D objects from disparate 2-D images has been limited in the past by a lack of algorithmic enforcement of physical constraints, in particular within-scene obscuration and object self-occlusion. This paper presents a stochastic observation model of a tomosynthetic collection that explicitly includes an obscuration operator that is unknown by the sensor. The expectation-maximization algorithm is used to iteratively estimate the obscuration operator and to reconstruct the 3-D volume of interest. Explicit inclusion of obscuration effects greatly enhances the spatial and spectral accuracy of 3-D results without use of costly post-processing techniques. Performance metrics are introduced and the resultant receiver operating characteristics are presented.

Page Count


Department or Program

Ph.D. in Engineering

Year Degree Awarded


Included in

Engineering Commons