Eigenimage filtering in MR imaging: An application in the abnormal chest wall

Allan M. Haggar, Joe P. Windham, David A. Reimann, David O. Hearshen, Jerry W. Froelich

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

A postprocessing linear filter was applied to spin‐echo images on 10 patients with known or suspected chest wall invasion due to bronchogenic carcinoma. This technique known as eigenimage filtering allows selective feature extraction of suspected abnormali‐ties from conventional MR images. The final result is an image with marked increased contrast range through enhancement of a desired process (tumor) with suppression of an interfering process (e.g., normal surrounding tissue). This preliminary work demon‐strates the ease with which the technique may be implemented, the contrast enhancement obtained between the desired and the interfering feature in the final eigenimage, and its ability to correct for partial volume averaging effects. Also demonstrated are artifacts that can interfere with the interpretation of the eigenimage and a method for minimizing these artifacts in the final eigenimage. © 1989 Academic Press, Inc.

Original languageEnglish (US)
Pages (from-to)85-97
Number of pages13
JournalMagnetic resonance in medicine
Volume11
Issue number1
DOIs
StatePublished - Jul 1989

Fingerprint

Dive into the research topics of 'Eigenimage filtering in MR imaging: An application in the abnormal chest wall'. Together they form a unique fingerprint.

Cite this