Comput Math Methods Med - Automatic mapping extraction from multiecho T2-star weighted magnetic resonance images for improving morphological evaluations in human brain.

Tópicos

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Resumo

Mapping extraction is useful in medical image analysis. Similarity coefficient mapping (SCM) replaced signal response to time course in tissue similarity mapping with signal response to TE changes in multiecho T2-star weighted magnetic resonance imaging without contrast agent. Since different tissues are with different sensitivities to reference signals, a new algorithm is proposed by adding a sensitivity index to SCM. It generates two mappings. One measures relative signal strength (SSM) and the other depicts fluctuation magnitude (FMM). Meanwhile, the new method is adaptive to generate a proper reference signal by maximizing the sum of contrast index (CI) from SSM and FMM without manual delineation. Based on four groups of images from multiecho T2-star weighted magnetic resonance imaging, the capacity of SSM and FMM in enhancing image contrast and morphological evaluation is validated. Average contrast improvement index (CII) of SSM is 1.57, 1.38, 1.34, and 1.41. Average CII of FMM is 2.42, 2.30, 2.24, and 2.35. Visual analysis of regions of interest demonstrates that SSM and FMM show better morphological structures than original images, T2-star mapping and SCM. These extracted mappings can be further applied in information fusion, signal investigation, and tissue segmentation.

Resumo Limpo

map extract use medic imag analysi similar coeffici map scm replac signal respons time cours tissu similar map signal respons te chang multiecho tstar weight magnet reson imag without contrast agent sinc differ tissu differ sensit refer signal new algorithm propos ad sensit index scm generat two map one measur relat signal strength ssm depict fluctuat magnitud fmm meanwhil new method adapt generat proper refer signal maxim sum contrast index ci ssm fmm without manual delin base four group imag multiecho tstar weight magnet reson imag capac ssm fmm enhanc imag contrast morpholog evalu valid averag contrast improv index cii ssm averag cii fmm visual analysi region interest demonstr ssm fmm show better morpholog structur origin imag tstar map scm extract map can appli inform fusion signal investig tissu segment

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