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.
Direction-dependent localization errors in SPECT images
Rent:
Rent this article for
USD
10.1118/1.3481515
/content/aapm/journal/medphys/37/9/10.1118/1.3481515
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/37/9/10.1118/1.3481515

Figures

Image of FIG. 1.
FIG. 1.

(a) Simulated activity ratios were 20:6:1 in heart, tumor, and other tissues. (b) Twelve tumor sites, labeled A–L, were in axial slice superior to heart.

Image of FIG. 2.
FIG. 2.

(a) LEHR collimator hole geometry, length of 2.635 cm, and diameter of 0.140 cm, determine angles through which rays may pass directly to the detector. (b) Cones of 49 rays were used to simulate distance-dependent collimator spatial resolution. (c) shows agreement between simulated and measured line-source profiles at distances of 15–30 cm. Measurements were made with a Trionix Triad (Trionix Research Lab, Twinsburg, OH) scanner using LEHR collimation.

Image of FIG. 3.
FIG. 3.

The conformal 180° detector trajectory is overlaid on the attenuation map. At the 60 detector views, a circle marks the collimator position. The detector width is indicated by gray bars at the right lateral and anterior views, where distances to the axis of rotation are 25.7 and 23.9 cm, respectively.

Image of FIG. 4.
FIG. 4.

(a) An anisotropic localization error pattern is marked by filled diamonds. (b) Direction-dependent localization precision is indexed by . Note that is also shown above.

Image of FIG. 5.
FIG. 5.

Representative images (nDRC and DRC) reconstructed using the same projection data are displayed as function of iteration number and degree of postreconstruction smoothing.

Image of FIG. 6.
FIG. 6.

(a) nDRC and (b) DRC images were averaged over the 80-image ensemble at iteration number 10. Spherical tumors appear elliptical and vary in orientation and degree of eccentricity. Distortions are related to tumor position relative to the detector trajectory.

Image of FIG. 7.
FIG. 7.

Mean localization error for tumor sites A–L is plotted as a function of smoothing, iteration number, reconstruction method, and cross correlation. Within each broad column and row, mean localization error is displayed as a function of iteration number (1–25) on the horizontal axis and smoothing (0–2.5 cm FWHM) on the vertical axis. Labeled axes are shown above the phantom, using tumor F, DRC-XC as an example. The combination of iteration number and smoothing with the best mean localization error is marked by a white crossed box.

Image of FIG. 8.
FIG. 8.

Box plots summarize the ensemble localization errors of tumors A–L. Black horizontal bars denote medians, filled rectangles denote the interquartile range (IQR), whiskers denote the last data point within from the 25th and 75th percentiles, and filled markers denote the outliers. Marked by * is a box plot representing random chance.

Image of FIG. 9.
FIG. 9.

The fraction of correct localizations is plotted as a function of radius from the true tumor location. Dashed lines represent the normalized cross correlation and solid lines represent the un-normalized cross correlation. DRC lines are lighter than nDRC counterparts. Localization by random chance is shown by a black curve.

Image of FIG. 10.
FIG. 10.

Estimates of tumor positions from the image ensembles are plotted on the attenuation map. For reference, tumor diameters are marked by solid white lines and search region boundaries by dotted white lines. Correct localizations are centered exactly in these circles.

Image of FIG. 11.
FIG. 11.

(a) The detector is highlighted at two views: One proximal to tumor and the other more distal and orthogonal. (b) Position estimates at site G show that more precise localization is associated with a more proximal detector view where spatial resolution was relatively good and attenuation less severe.

Image of FIG. 12.
FIG. 12.

(a) Direction-dependent localization bias and precision are plotted as a function of for tumors A–F. Horizontal dashed lines mark ideal bias and precision. Also plotted are curves showing tumor-collimator proximity and the survival probability for photons from a tumor to escape the phantom without being attenuated. (b) shows results for tumors G–L. Direction-dependent localization bias curve is truncated at site I.

Tables

Generic image for table
TABLE I.

Mean localization errors are reported with optimal combinations of smoothing and iteration number.

Generic image for table
TABLE II.

Differences in ensemble localization errors were assessed using Wilcoxon signed-rank test. Bold indicates .

Generic image for table
TABLE III.

Average tumor-collimator distance and attenuation survival probability are reported for tumors A–L.

Loading

Article metrics loading...

/content/aapm/journal/medphys/37/9/10.1118/1.3481515
2010-08-23
2014-04-16
Loading

Full text loading...

This is a required field
Please enter a valid email address
752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Direction-dependent localization errors in SPECT images
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/37/9/10.1118/1.3481515
10.1118/1.3481515
SEARCH_EXPAND_ITEM