Optical tomography of small objects using parallel ray illumination and post-specimen optical magnification

• US 20060023219A1
• Filed: 08/15/2005
• Published: 02/02/2006
• Est. Priority Date: 03/28/2001
• Status: Abandoned Application

• Current Assignee: VisionGate, Inc.
• Original Assignee: VisionGate, Inc.
• Inventors: Nelson, Alan C., Meyer, Michael G., Johnson, Roger H., Rahn, John Richard
• Application Number:
  US11/203,878
• Publication Number:
  US 20060023219A1
• Time in Patent Office: Days
• US Class Current: 356/432
• CPC Class Codes: G01N 15/1433 using image recognition
• CPC Class Codes: G01N 15/147 the analysis being performed on a sample stream
• CPC Class Codes: G01N 21/4795 spatially resolved investigating of object in scattering medium in vivo A61B

Abstract

A shadowgram optical tomography system for imaging an object of interest. The shadowgram optical tomography system includes a parallel ray light source for illuminating the object of interest with a plurality of parallel radiation beams, an object containing tube, where the object of interest is held within the object containing tube such that it is illuminated by the plurality of parallel radiation beams to produce emerging radiation from the object containing tube, a detector array located to receive the emerging radiation, and a system and mehtod for tracking an image of the object of interest.

Claims

1. A shadowgram optical tomography system for imaging an object of interest comprising:

a parallel ray light source for illuminating the object of interest with a plurality of parallel radiation beams;

an object containing tube, wherein the object of interest is held within the object containing tube such that it is illuminated by the plurality of parallel radiation beams to produce emerging radiation from the object containing tube;

a detector array located to receive the emerging radiation; and

means for tracking an image of the object of interest.

2. The system of claim 1 wherein the image of the object of interest comprises a projection image.

3. The system of claim 1 wherein the image of the object of interest comprises a pseudoprojection image, wherein the pseudoprojection image is produced by integrating a series of images from a series of focal planes integrated along an optical axis.

4. The system of claim 3 wherein the tracking means comprises means for tracking a pseudoprojection image center.

5. The system of claim 2 wherein the tracking means comprises means for tracking a projection image center.

6. The system of claim 1 wherein the tracking means comprises means for tracking a focal plane.

7. A method for tracking a focal plane during rotation of an object of interest undergoing optical tomography comprising the steps of:

collecting a set of k pseudoprojection images pp1-ppk of the object of interest with an initial estimate for a radius from the tube center to the object center (R);

finding a set of center of mass values Xm1, Xm2, Xm3 . . . Xmk for the pseudoprojection images pp1-ppk;

recording a time of collection t1, t2, t3, . . . , tk for each of the set of pseudoprojection images pp1-ppk;

computing R and the value of Θ

at time k by calculating a minimum RMS error over the set of pseudoprojection images pp1-ppk;

estimating a real time value of Θ

based the set of center of mass values, the time of collection t1, t2, t3, . . . , tk and the clock for PP collection, and testing the real time value of Θ

for proximity to the value 0; and

when Θ

is anticipated to be 0 on the next clock cycle the trigger for capture of the set of pseudoprojection images is enabled.

8. The method of claim 7 wherein where k represents a number greater than 1.

9. The method of claim 7 wherein the step of calculating a minimum RMS error over the set of pseudoprojection images pp1-ppk comprises calculating the minimum RMS error according to the relationship:

Error=√

Σ

(Xm−

Xmˆ

)²/number of pseudoprojections,

where, boldface Xm represents the ensemble of center of mass Xm over the set of pseudoprojection images pp1-ppk and Xmˆ

represents a trend in Xm.

10. The method of claim 9 wherein the trend in the center of mass Xmˆ

is modeled as;

Xmˆ

=R*cos(π

PP(1+ζ

)/NP+π

+Θ

)+PF+A where R is defined as a distance between the micro-capillary tube center and object center, Θ

is defined as angular error, ζ

is defined as a controller error, NP is constant that is one less than the number of pseudoprojections, PP is defined as a pseudoprojection number, PF is a value proportional to the pseudoprojection frame height, and A is an average offset of the micro capillary tube around the tube center.

11. The method of claim 7 wherein the step of finding a set of center of mass values Xm1, Xm2, Xm3 . . . Xmk comprises the steps of:

segmenting each of a set of k pseudoprojection images pp1-ppk of the object of interest and computing the center of mass for a set of grey scale pixels associated with the object of interest;

determining a threshold for each pseudoprojection by finding the average light level;

using a connected components algorithm on to the thresholded image in order to segment objects where all non-zero pixels are connected to yield a labeled image;

selecting a component corresponding to the object of interest by identifying a pixel in the object of interest to yield a mask;

applying the mask to the original grey value image; and

computing the center of mass based on inverted grey values.

12. A shadowgram optical tomography system for imaging an object of interest comprising:

a light source for illuminating the object of interest with a plurality of radiation beams;

an object containing tube, wherein the object of interest is held within the object containing tube such that it is illuminated by the plurality of radiation beams to produce emerging radiation from the object containing tube;

a detector array located to receive the emerging radiation; and

means for tracking an image of the object of interest.