Method of and system for extracting 3D bag images from continuously reconstructed 2D image slices in computed tomography
First Claim
Patent Images
1. A method of extracting 3D bag images from continuously reconstructed 2D CT image slices comprising:
- A. Detecting a starting slice from a series of Ns1+Ns2 slices, further comprising;
A1. Computing slice energy for each 2D CT image slice;
A2. Thresholding slices into high energy slices and low energy slices;
A3. Counting the number of high energy slices until a predetermined number of high energy slices are achieved within an Ns1 number of slices;
A4. Counting the number of high energy slices in the last Ns2 slices; and
A5. Using and checking a starting slice criterion to determine whether a starting slice has been detected;
B. Counting bag slices;
C. Splitting 3D bag images, if necessary; and
D. Detecting an ending slice.
4 Assignments
0 Petitions
Accused Products
Abstract
A method of and a system for extracting 3D bag images from continuously reconstructed 2D image slices are provided. The method detects the boundaries of baggage in the reconstructed images, and provides better flexibilities for threat detection and displaying. The method comprises detecting starting and ending slices using multiple slices, counting bag slices, splitting 3D bag images when maximum number of slices of a 3D bag image is reached, and creating overlapping slices for the split 3D bag images.
-
Citations
13 Claims
-
1. A method of extracting 3D bag images from continuously reconstructed 2D CT image slices comprising:
-
A. Detecting a starting slice from a series of Ns1+Ns2 slices, further comprising; A1. Computing slice energy for each 2D CT image slice; A2. Thresholding slices into high energy slices and low energy slices; A3. Counting the number of high energy slices until a predetermined number of high energy slices are achieved within an Ns1 number of slices; A4. Counting the number of high energy slices in the last Ns2 slices; and A5. Using and checking a starting slice criterion to determine whether a starting slice has been detected; B. Counting bag slices; C. Splitting 3D bag images, if necessary; and D. Detecting an ending slice. - View Dependent Claims (2, 3)
-
-
4. A method of extracting 3D bag images from continuously reconstructed 2D CT image slices comprising:
-
A. Detecting a starting slice; B. Counting bag slices; C. Splitting 3D bag images, if necessary; and
further including;C1. Generating more than one 3D bag image when the number of slices of a 3D bag image is greater than a pre-defined threshold; and D. Detecting an ending slice.
-
-
5. A method of extracting 3D bag images from continuously reconstructed 2D CT image slices comprising:
-
A. Detecting a starting slice; B. Counting bag slices; C. Splitting 3D bag images if necessary, and D. Detecting an ending slice from a series of Nd1+Nd2 slices, Step D further comprising; D1. Computing slice energy for each 2D CT image slice; D2. Thresholding slices into high energy slices and low energy slices; D3. Counting the number of high energy slices until a predetermined number of high energy slices are achieved within an Ne1 number of slices; D4. Counting the number of high energy slices in the last Ne2 slices; and D5. Using and checking an ending slice criterion to determine whether an ending slice has been detected. - View Dependent Claims (6, 7, 8)
-
-
9. A system for extracting 3D bag images from continuously reconstructed 2D CT image slices comprising:
-
A. A starting slice detector wherein the starting slice detector constructed and arranged so as to detect a starting slice from a series of Ns1+Ns2 slices, the starting slice detector further comprising; A1. A module constructed and arranged so as to compute slice energy for each 2D CT image slice; A2. A module constructed and arranged so as to threshold slices into high energy slices and low energy slices; A3. A module constructed and arranged so as to count the number of high energy slices in the first Ns1 slice; A4. A module constructed and arranged so as to count the number of high energy slices in the last Ns2 slice; and A5. A module constructed and arranged so as to use a starting slice criterion to determine whether a starting slice has been detected; B. Bag slice counter; C. 3D bag image splitter; D. An ending slice detector; and E. An overlapping slice buffer.
-
-
10. A system for extracting 3D bag images from continuously reconstructed 2D CT image slices comprising:
-
A. A starting slice detector; B. Bag slice counter; C. 3D bag image splitter;
wherein said 3D bag image splitter may generate more than one 3D bag image when the number of slices of a 3D bag image is greater than a pre-defined threshold;D. An ending slice detector; and E. An overlapping slice buffer. - View Dependent Claims (11, 12)
-
-
13. A system for extracting 3D bag images from continuously reconstructed 2D CT image slices comprising;
-
A. A starting slice detector; B. Bag slice counter; C. 3D bag image splitter; D. An ending slice detector;
said ending slice detector may detect the last slice of Ne1+Ne2 slices as an ending slice, comprising;D1. A module constructed and arranged to compute slice energy; D2. A module constructed and arranged to threshold slices into high energy slices and low energy slices; D3. A module constructed and arranged to count the number of high energy slices in the first Ne1 slice; D4. A module constructed and arranged to count the number of high energy slices in the last Ne2 slice; D5. A module constructed and arranged to check ending slice criterion; and E. An overlapping slice buffer.
-
Specification