Correction After publication of this work [1], the authors noted that there were some corrections that should be added to the work. These corrections are done in order to modify some parts that were unfortunately missed during the original publishing procedures. The authors would like to apologize for the inconvenience. Page 2 in the Methods section under “Mechanical loading studies and design ...

this study was designed reevaluate the outcome of soft wall reconstruction technique for cwd mastoidectomy and to test the validity of anteriorly–based musculoperiosteal flap attachment without oblitrating the mastoid cavity for increasing graft viability. two methods of reconstruction were used. soft wall reconstruction method as described previously by smith et al, were performed on 35 patien...

The prime motivation of this work is to devise techniques that make the Algebraic Reconstruction Technique (ART) and related methods more efficient for routine clinical use, while not compromising their accuracy. Since most of the computational effort of ART is spent for projection/backprojection operations, we first seek to optimize the projection algorithm. Existing projection algorithms are ...

Algebraic Reconstruction Technique (ART) is an iterative algorithm to obtain reconstruction from projections in a finite number of iterations. The present paper discuses the convergence achieved in small number of iteration even when projection data is available in only four directions. Keywords-ART, Image Reconstruction, Convergence, Projections, Computed Tomography

Algebraic Reconstruction Technique (ART) is most accurate method for image reconstruction. In present paper the accuracy of ART is shown with parallel projections, in all only 16 projections with about 60 iterations are used to obtain reconstruction. Reference R. Gordon et al., “Three-Dimensional Reconstruction from Projections: A Review of Algorithms”, International Review of Cytology, Vol. 38...

A novel reconstruction technique, called Wiener Filtered Reconstruction Technique (WIRT), for sparse-data tomographic imaging is introduced. This six-step method applies a spatially varying constrained leastsquares filter combined with a regularization method based on total variation. The WIRT reconstruction is implemented in the frequency domain, where the information based on measurements and...

In this work, the simultaneous iterative reconstruction technique (SIRT), the total variation minimization (TVM) reconstruction technique and the discrete algebraic reconstruction technique (DART) for electron tomography are compared and the advantages and disadvantages are discussed. Furthermore, we describe how the result of a three dimensional (3D) reconstruction based on TVM can provide obj...

Projections of charged particle beam current density (profiles) are frequently used as a measure of beam position and size. In conventional practice only two projections, usually horizontal and vertical, are measured. This puts a severe limit on the detail of information that can be achieved. A third projection provides a significant improvement. The Algebraic Reconstruction Technique (ART) use...