Image analysis – Applications – Biomedical applications
Reexamination Certificate
2005-05-17
2005-05-17
Johns, Andrew W. (Department: 2621)
Image analysis
Applications
Biomedical applications
C702S023000, C435S001100
Reexamination Certificate
active
06895107
ABSTRACT:
A fully-automated method for segmentation of white matter, gray matter, and cerebral spinal fluid (CSF) and for calculating their respective volumes is disclosed. The technique preferably uses a T2-weighted scan and a proton-density scan. The T2-weighted scans are used to highlight those portion of the brain corresponding to CSF. Thereafter, the proton density images are separated in CSF-containing and CSF-free portions, in accordance with the T2-weighted images. The CSF-free portion is then segmented into white matter and gray matter portions. The CSF-containing portion is further segmented into pure CSF-regions, and regions containing a mixture of gray and white matter and CSF. After CSF is segmented from this mixture, the white and gray matter and again segmented, and the respective volumes of white matter, gray matter, and CSF are calculated. A technique for determining a threshold gray scale value for segmenting the white and gray matter to assist in the visual identification of such regions is also disclosed.
REFERENCES:
patent: 5425368 (1995-06-01), Brandt
patent: 6385479 (2002-05-01), Sibbitt et al.
patent: 6430430 (2002-08-01), Gosche
patent: 6751495 (2004-06-01), Maier et al.
Noh Seung-Moo
Park Jong-Won
Song Chang-Jun
Sung Yun-Chang
Howrey Simon Arnold & White , LLP
Johns Andrew W.
Nakhjavan Shervin
Park Jong-Won
LandOfFree
Method for segmentation and volume calculation of white... 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 for segmentation and volume calculation of white..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method for segmentation and volume calculation of white... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3390413