@Book{Herman:1980,
      	author=		{Herman, Gabor.T},
	year=		{1980},
	title=		{Image Reconstruction from Projections
			 The fundamentals of Computerized Tomography},
	publisher=	{Academic Press},
}

@Article{Park/Kim:1996,
      	author=		{Park, Hyungjun and Kim, Kwangsoo},
	year=		{1996},
	keywords=	{Surface-approximation Cross-sections Algotithms
	    B-splines Surface-skinning},
	institution=	{Pohang University of Science and Technology/E-CIM 
	    Centre Samsung Electronics Co.},
	title=		{Smooth surface approximation to serial cross-sections},
	journal=	{Computer-Aided Design},
	month=		{ December },
	volume=		{ 28 },
	pages=		{995-1005},
	annote=		{

The reconstruction of the surface model of an object from 2D cross-sections plays an important role in
many applications. In this paper, we present a method for surface approximation to a given set of 2D
contours. The resulting surface is represented by a bicubic closed B-spline surface with C ² continuity.
The method performs the skinning of intermediate contour curves represented by cubic B-spline
curves on a common knot vector. each of which is fitted to its contour points within a given accuracy. In
order to acquire more compact representation for the surface, the method includes an algorithm for
reducing the number of knots in the common knot vector. The proposed method provides a smooth and
accurate surface model, yet realizes efficient data reduction. Some experimental results are given using
synthetic and MRI data. 
	}
}

@Article{Smith/Zoltani_et_al:1991,
 	author=		{Smith, Robert.T and Zoltani Csaba.K and Klem George.J
	     and Coleman Monte.W},
	year=		{1991},
	keywords=	{Sparce-image-reconstruction Maximum-entropy-method
	     Tomographic-reconstruction Finite-element-method},
	institution=	{Millersville University of Pennsylvania/
	         U.S Army Ballistic Research Laboratory Maryland},
	title=		{Reconstruction of tomographic images from sparce data 
	     sets by a new finite element maximum entropy approach},
	journal=	{Applied Optics},
	month=		{ February },
	volume=		{ 30 },
	pages=		{ 573-582},
	annote=		{

A new algorithm for the reconstruction of tomographic images from sparce data 
sets is presented. A finite element element technique was deviced to solve the 
constrained optimization problem which resulted from the analysis using the
maximum entropy formalism. The improvement in the reconstruction image quality 
over conventional techniques is illustrated by several examples.
	}
}	

@Book{Takahashi:1981,
	author=		{Takahashi, S.},
	year=		{1981},
	title=		{Illustrated Computer Tomography},
	publisher=	{Springer-Verlag Heidelburg NewYork},
}