Detector head position calibration and correction for SPECT imaging apparatus using virtual CT

Information

  • Patent Application
  • 20070290125
  • Publication Number
    20070290125
  • Date Filed
    June 20, 2006
    18 years ago
  • Date Published
    December 20, 2007
    17 years ago
Abstract
A multiple point source test phantom is used for calibration of detector positioning of a nuclear medical imaging apparatus. An absolute coordinate system for the detectors is aligned to an image reconstruction space coordinate system by fitting a Gaussian surface to a peak of a center point source of said test phantom, and using displacement parameters as obtained from the fitted Gaussian surface to calculate a displacement correction parameter, which is used to move a patient bed of the imaging apparatus such that the image reconstruction space is aligned with the absolute coordinate system.
Description

BRIEF DESCRIPTION OF THE DRAWINGS

The present invention will become more fully understood from the detailed description given herein below and the accompanying drawings which are given by way of illustration only, and are not limitative of the present invention, and wherein:



FIG. 1 is a perspective view of a test phantom according to an exemplary embodiment of the present invention;



FIG. 2 illustrates an absolute coordinate system calibration configuration for detectors at 0 and 180 degree positions;



FIGS. 3
a and 3b are images from respective detectors of FIG. 2;



FIG. 4 is a three-dimensional depiction of a 2D Gaussian surface fitting for the center point source P of the absolute coordinate system;



FIG. 5 illustrates an absolute coordinate system calibration configuration for detectors at 90 and 270 degree positions;



FIGS. 6
a and 6b are images from respective detectors of FIG. 5; and



FIG. 7 is a data flow diagram illustrating the entire calibration process to establish an absolute coordinate system according to an exemplary embodiment of the present invention.





DETAILED DESCRIPTION OF THE EXEMPLARY EMBODIMENTS

Referring to FIG. 1, a test phantom 10 is provided with a number of radioisotope point sources 12, with the center point source being denoted as point source P. In an exemplary embodiment, the test phantom comprises five point sources. Each point source comprises a capsule containing an appropriate amount of radioactive material, such as 99Tc or 57Co. The point source capsules 12 typically are mounted on a plate in a manner such that attenuation artifacts caused by interaction between the plate material and the point sources are minimized. As shown, the test phantom structure is such that a plurality of point source isotopes are located such that lines connecting any two pairs of said point source isotopes will be skewed with respect to each other.


The phantom with loaded point sources is then subjected to SPECT imaging over four projection view angles (ie., 0, 90, 180 and 270 degrees). First, as shown in FIG. 2, panel detectors 20 and 21 are placed in 0 and 180 degree rotation positions, respectively, about the test phantom 10 (Step 701, FIG. 7). Coordinate system 23 is fixed to the image reconstruction space.


A cross-hair mark 24 is projected on the surfaces of the panels 20 and 21 at the location of an image center denoted by the position vector






{right arrow over (v)}
c=(n−1,n−1)/2   (1)


where n is the image size.


The patient bed on which the test phantom is mounted is then adjusted along the Z-axis until the projection of point source P on the detector panel surface is substantially within the cross-hair mark 24.


Radiation distribution data then is acquired by the detectors 20 and 21, resulting in images as shown in FIGS. 3(a) and 3(b), respectively. A 2D Gaussian surface, which can be written as










G


(

x
,
y

)


=


c
0

+

λ









1
2


U








(
2
)







is then fitted to the peak of point source P for each image. The elliptical function U in Equation (2) above is represented as









U
=



(

x

σ
x


)

2

+


(

y

σ
y


)

2






(
3
)







where the lengths of the axes of ellipse U are 2σx and 2σy and the center of ellipse U is located at (x0, y0). Ellipse U is then rotated τ degrees from the X axis in the clockwise direction as shown by arrow 25 in FIG. 2, such that the rotated coordinate system is defined as










[



x




y



]

=


[




cos





τ





-
sin






τ






sin





τ




cos





τ




]



[





x


-

x
0








y


-

y
0





]






(
4
)








FIG. 4 shows an acquired single pinhole image and its 2D Gaussian fit. In this Gaussian model, there are seven parameters: c0, λ, σx, σy, x0, y0, and τ, of which x0 and y0 are used directly for patient bed position displacement calculation.


The position vector of point source P in the image when the detector is rotated i degrees is denoted as






{right arrow over (v)}
0
i=(x0i, y0i), (i=0, 180 deg.)   (5)


Then, the origin of the absolute coordinate system can be determined as the position vector









v


=





v





0



0


+



v





0



180



2





(
6
)







The patient table then is adjusted by the amount {right arrow over (v)}-{right arrow over (v)}c along each of the X and Y axes (Steps 702 and 703, FIG. 7), such that the projection of the point source P on the X-Z plane of the absolute coordinate system is now aligned with the image reconstruction space coordinate system.


As shown in FIG. 5, the detectors are then placed in 90 and 270 degree rotation positions about the test phantom (Step 704, FIG. 7), the point source P is moved to the cross-hair, and radiation projection data is acquired by each detector as shown in FIGS. 6(a) and 6(b). The 2D Gaussian fit process is then repeated to obtain the origin vector position in the Y-Z plane. The height of the patient table then is adjusted by the vector difference amount obtained in the 90-270 detector placement (Step 705, FIG. 7), such that the origin of the absolute coordinate system can be aligned with the center of the image reconstruction space coordinate system in the Y-Z plane.


With the patient bed so adjusted, there is achieved a full calibration of the image reconstruction space coordinate system with the absolute coordinate system, such that accurate correlation of clinical SPECT image data acquired from the two detectors can be performed (Step 706, FIG. 7).


The invention having been thus described, it will be obvious to those skilled in the art that the same may be varied in many ways without departing from the spirit and scope of the invention.


For example, while a test phantom using five point sources has been described, the number of point sources may be varied to more or less than five, and their spatial relationships also may be varied, in order to obtain an optimal configuration for detector head calibration purposes as taught by the present invention. Any and all such modifications are intended to be included within the scope of the following claims.

Claims
  • 1. A method for calibrating a nuclear medical imaging apparatus having multiple detectors, comprising the steps of: determining at least one image center location on at least one of said multiple detectors;aligning a multiple isotope point source test phantom so that a center point source of said phantom lies within said center location;acquiring image data of said multiple point source test phantom with said detectors;fitting a Gaussian surface to a peak of acquired data of said center point source;using said fitted Gaussian surface to calculate a position of said center point source as an origin of a first coordinate system; andadjusting a position of said test phantom such that said calculated center point source position is aligned with said center location.
  • 2. The method of claim 1, wherein said test phantom is mounted to a patient bed of said nuclear medical imaging apparatus, and said step of aligning comprises the step of moving said patient bed along a predetermined axis of an image reconstruction space coordinate system.
  • 3. The method of claim 2, wherein said center location is represented as a position vector, and step of aligning comprises moving said patient bed until a projection of said center point source corresponds to said position vector.
  • 4. The method of claim 1, wherein said Gaussian surface is a two-dimensional Gaussian surface.
  • 5. The method of claim 4, wherein the step of using said fitted Gaussian surface comprises the step of rotating said fitted surface from a predetermined axis of said image reconstruction space coordinate system by a determined angle to obtain position displacement parameters.
  • 6. The method of claim 5, wherein the step of adjusting comprises moving said patient bed by a distance related to said position displacement parameters.
  • 7. The method of claim 5, wherein the step of using further comprises the step of solving vector equations describing locations of two-dimensional point source centroids in a three-dimensional image space.
  • 8. The method of claim 1, wherein said test phantom comprises a structure having a plurality of point source isotopes at locations such that lines connecting any two pairs of said point source isotopes will be skewed with respect to each other.
  • 9. The method of claim 8, wherein said test phantom comprises five radioisotope point sources.
  • 10. A test phantom structure for calibration of a nuclear medical imaging apparatus having multiple detectors, comprising a structure supporting a plurality of point source isotopes at locations such that lines connecting any two pairs of said point source isotopes will be skewed with respect to each other.
  • 11. The test phantom structure as set forth in claim 10, wherein said nuclear medical imaging apparatus is a SPECT imaging apparatus.
  • 12. A method for calibrating a nuclear medical imaging apparatus having multiple detectors, comprising the steps of: determining at least one image center location on at least one of said multiple detectors;aligning a multiple isotope point source test phantom so that a center point source of said phantom lies within said center location;placing said detectors at first locations with respect to said test phantom;acquiring image data of said multiple point source test phantom with said detectors;fitting a Gaussian surface to a peak of acquired data of said center point source;using said fitted Gaussian surface to calculate a position of said center point source as an origin of a first coordinate system;adjusting a position of said test phantom such that said calculated center point source position is aligned with said center location;placing said detectors at second locations with respect to said test phantom;acquiring image data of said multiple point source test phantom with said detectors at said second locations;fitting a Gaussian surface to a peak of acquired data of said center point source at said second locations;using said fitted Gaussian surface at said second locations to calculate a position of said center point source as an origin of said first coordinate system; andadjusting a further position of said test phantom such that said calculated center point source position is aligned with said center location position.
  • 13. The method of claim 12, wherein said first detector locations are 0 and 180 degree rotational locations with respect to said first coordinate system.
  • 14. The method of claim 12, wherein said second detector locations are 90 and 270 degree rotational locations with respect to said first coordinate system.
  • 15. The method of claim 12, wherein said test phantom is mounted to a patient bed of said nuclear medical imaging apparatus, and said step of aligning comprises the step of moving said patient bed along a predetermined axis of an image reconstruction space coordinate system.
  • 16. The method of claim 15, wherein said center location is represented as a position vector, and step of aligning comprises moving said patient bed until a projection of said center point source corresponds to said position vector.
  • 17. The method of claim 12, wherein said Gaussian surface is a two-dimensional Gaussian surface.
  • 18. The method of claim 17, wherein the step of using said fitted Gaussian surface comprises the step of rotating said fitted surface from a predetermined axis of said image reconstruction space coordinate system by a determined angle to obtain position displacement parameters.
  • 19. The method of claim 18, wherein the step of adjusting comprises moving said patient bed by a distance related to said position displacement parameters.
  • 20. The method of claim 18, wherein the step of using further comprises the step of solving vector equations describing locations of two-dimensional point source centroids in a three-dimensional image space.