Computer analysis of magnetic resonance images

Journal Article · Fri Aug 28 00:00:00 EDT 1998 · AIP Conference Proceedings

DOI:https://doi.org/10.1063/1.56387· OSTI ID:21199195

Garza-Jinich, Maria ^[1]; Meer, Peter ^[2]; Medina, Veronica ^[3]

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1. IIMAS, UNAM, Apdo. 20-726, Mexico D.F. 01000 (Mexico)
2. ECED, Rutgers University, Piscataway, New Jersey, 08855-0909 (United States)
3. DIE, UAM-Iztapalapa, Mexico D.F. 09340 (Mexico)

Robust high breakdown point location estimators are employed to analyze image stacks under the piecewise constant image structure model. To reduce the effect of bias along the Z axis, the class parameters are extracted using three consecutive slices. The segmentation algorithm first determines the most reliable seed regions which are then used in a region-growing procedure supported by local evidence. The robustness and stability of the proposed technique is shown with both synthetic and real data, the latter consisting of two MRI sets.

• OSTI ID: 21199195
• Journal Information: AIP Conference Proceedings, Vol. 440, Issue 1; Conference: 2. Mexican symposium on medical physics, Coyoacan (Mexico), 26-28 Feb 1998; Other Information: DOI: 10.1063/1.56387; (c) 1998 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA); ISSN 0094-243X
• Country of Publication: United States
• Language: English

Related Subjects

62 RADIOLOGY AND NUCLEAR MEDICINE
ALGORITHMS
BRAIN
COMPUTER CALCULATIONS
DATA PROCESSING
DIAGNOSIS
DIAGNOSTIC USES
IMAGE PROCESSING
IMAGES
MAGNETIC RESONANCE
NMR IMAGING
PATIENTS