1887
banner image
No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
Reconstruction for proton computed tomography by tracing proton trajectories: A Monte Carlo study
Rent:
Rent this article for
USD
10.1118/1.2171507
/content/aapm/journal/medphys/33/3/10.1118/1.2171507
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/33/3/10.1118/1.2171507

Figures

Image of FIG. 1.
FIG. 1.

Scattering and simulation geometry used throughout this work. The third dimension is neglected. The path of protons traveling inside an object is determined by a multitude of individual scattering events leading to a zigzag path (red). Both the position and direction of entry and exit proton are registered. Given the boundary of the reconstruction region, the intersecting points and of a proton with the object can be obtained assuming there is no scattering medium between registration planes and reconstruction boundaries. While the intersecting points are sufficient to estimate the straight line path (black) of the proton, additional knowledge of the entry and exit directions permits estimation of the most likely path (blue line).

Image of FIG. 2.
FIG. 2.

Examples of MLPs for protons in water entering the - plane at and with two different exit displacements and several different exit angles . The depth coordinate is given as a fraction of the exit depth. Note that the same SLP applies to each group of MLPs.

Image of FIG. 3.
FIG. 3.

Elliptical phantom consisting of an outer shell with bone density (1), an elliptical interior of water density (2), and two sets of strip patterns with either bone density (white) or air density (black). The strip densities of the patterns (listed by number) are: (3, 11), (4, 12), (5, 13), (6, 14), (7, 15), (8, 16), (9, 17), and (10, 18).

Image of FIG. 4.
FIG. 4.

Three examples of MC-simulated proton paths in water and their estimated SLP, MLP, and CSP.

Image of FIG. 5.
FIG. 5.

Comparison of the RMS deviation of the lateral displacement in the projection plane between each path estimate and the MC-simulated internal path as a function of depth in a 20-cm water layer

Image of FIG. 6.
FIG. 6.

Reconstructions of the elliptical phantom by the ART algorithm using SLP (top) CSP (bottom left) and MLP (bottom right) estimates.

Image of FIG. 7.
FIG. 7.

Average profiles through the top pattern of the reconstructed elliptical phantom of Fig. 3 for the three different path estimates.

Image of FIG. 8.
FIG. 8.

Convergence speed and squared residual error for the three different path estimates.

Tables

Generic image for table
TABLE I.

Entry and exit positions and directions of three arbitrarily selected proton events ( initial energy), of which the simulated paths and estimated paths are plotted in Fig. 4.

Loading

Article metrics loading...

/content/aapm/journal/medphys/33/3/10.1118/1.2171507
2006-02-22
2014-04-16
Loading

Full text loading...

This is a required field
Please enter a valid email address
752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Reconstruction for proton computed tomography by tracing proton trajectories: A Monte Carlo study
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/33/3/10.1118/1.2171507
10.1118/1.2171507
SEARCH_EXPAND_ITEM