Image analysis – Applications – Biomedical applications
Patent
1995-06-05
1998-06-02
Razavi, Michael T.
Image analysis
Applications
Biomedical applications
378 4, 382254, 382132, G06F 1700
Patent
active
057613311
ABSTRACT:
A method for imaging or reconstructing an image of an object includes the following steps: obtaining multiple original views of the object, each original view being obtained at a different relative orientation of the object from each other view; combining the multiple original views in an image plane to obtain a first composite image; phase inverting the first composite image to obtain a phase inverted composite image; combining the phase inverted composite image with each original view to obtain a second composite image; determining a differential between the second composite image and each original view to obtain a plurality of differentials; applying the plurality of differentials to the second composite image to obtain a resulting composite image; and optionally amplifying the resulting composite image to obtain a reconstructed image. Apparatus for carrying out the method may use analog circuitry, a high speed computer or a combination of analog and digital techniques may be used.
REFERENCES:
patent: 4720843 (1988-01-01), Haaker et al.
N. Srinivasa, K.R. Ramakrishnan, and K. Rajgopal, "Detection of Edges from rojections", IEEE Trans. Med. Imaging, vol. 11, pp. 76-80, 1992.
G.T. Herman, Image Reconstruction from Projections, Academic Press, pp. 8,10-11,26-32,108-117, 1980.
Bobys Marc
Intellectual Property Group of Pillsbury Madison & Sutro LLP
Razavi Michael T.
LandOfFree
Method and apparatus for tomographic imaging and image reconstru does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method and apparatus for tomographic imaging and image reconstru, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and apparatus for tomographic imaging and image reconstru will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-1470339