Segmenting high-frequency intracardiac ultrasound images of myocardium into infarcted, ischemic, and normal regions.

Segmenting abnormal from normal myocardium using high-frequency intracardiac echocardiography (ICE) images presents new challenges for image processing. Gray-level intensity and texture features of ICE images of myocardium with the same structural/perfusion properties differ. This significant limita...

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Pubblicato in:	IEEE Transactions on medical imaging 20, 12 (2001).
Autore principale:	Xiaohui Hao
Natura:	Articolo
Lingua:	English
Soggetti:	Equal opportunity competence. Geographic similarity. Globally closest region. Gray-level intensity. High-frequency intracardiac ultrasound images segmentation. Infarcted regions. Ischemic regions. Medical diagnostic imaging. Multifeature space. Myocardial tissue. Normal regions. Pathology. Perfusion status. Pixel merging. Seeded region growing method. Texture features.