Target identification using time-based data sets

Image analysis – Applications – Biomedical applications

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C600S425000

Reexamination Certificate

active

07551759

ABSTRACT:
A system includes acquisition of a first image of a portion of a body, the first image representing the portion during a first phase of motion, acquisition of a second image of the portion of the body, the second image representing the portion during a second phase of motion, generation of a composite image based on the first image and the second image, the composite image indicating a position of a target during the first phase of motion and a position of the target during the second phase of motion, and identification of a target region based on the composite image.

REFERENCES:
patent: 5761131 (1998-06-01), Roohparvar
patent: 5774357 (1998-06-01), Hoffberg et al.
patent: 6780152 (2004-08-01), Ustuner et al.
George Zubal and Chuck Harrell, “Voxal Based Monte Carlo Calculations of Nuclear Medicine Images and Applied Variance Reduction Techniques”, Division of Imaging Science; Department of diagnostic Radiology; Yale University, New Haven, CT 06510; Springer Berlin / Heidelberg, 0302-9743, vol. 511/1991 pp. 23-33.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Target identification using time-based data sets does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Target identification using time-based data sets, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Target identification using time-based data sets will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-4104477

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.