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

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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Detalhes bibliográficos
Publicado no:IEEE Transactions on medical imaging 20, 12 (2001).
Autor principal: Xiaohui Hao
Formato: Artigo
Idioma:English
Assuntos:
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.