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IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 20, NO. 2, FEBRUARY 2011 523 Accelerating X-Ray Data Collection Using
 

Summary: IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 20, NO. 2, FEBRUARY 2011 523
Accelerating X-Ray Data Collection Using
Pyramid Beam Ray Casting Geometries
Amir Averbuch, Guy Lifschitz, and Yoel Shkolnisky
Abstract--Image reconstruction from its projections is a neces-
sity in many applications such as medical (CT), security, inspec-
tion, and others. This paper extends the 2-D Fan-beam method in
[2] to 3-D. The algorithm, called Pyramid Beam (PB), is based upon
the parallel reconstruction algorithm in [1]. It allows fast capturing
of the scanned data, and in 3-D, the reconstructions are based upon
the discrete X-ray transform [1]. The PB geometries are reordered
to fit parallel projection geometry. The underlying idea is to use the
algorithm in [1] by porting the proposed PB geometries to fit the
algorithm in [1]. The complexity of the algorithm is comparable
with the 3-D FFT. The results show excellent reconstruction qual-
ities while being simple for practical use.
Index Terms--Computerized tomography, X-Ray tomography.
I. INTRODUCTION
X-RAY imaging is a critical component in many applica-
tions such as medical scans (CT), baggage scanning in

  

Source: Averbuch, Amir - School of Computer Science, Tel Aviv University

 

Collections: Computer Technologies and Information Sciences