Comput. Biol. Med. - Automatic measurement of midline shift on deformed brains using multiresolution binary level set method and Hough transform.

Tópicos

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Resumo

Midline shift (MLS) is an important quantitative feature clinicians use to evaluate the severity of brain compression by various pathologies. The midline consists of many anatomical structures including the septum pellucidum (SP), a thin membrane between the frontal horns (FH) of the lateral ventricles. We proposed a procedure that can measure MLS by recognizing the SP within the given CT study. The FH region is selected from all ventricular regions by expert rules and the multiresolution binary level set method. The SP is recognized using Hough transform, weighted by repeated morphological erosion. Our system is tested on images from 80 patients admitted to the neurosurgical intensive care unit. The results are evaluated by human experts. The mean difference between automatic and manual MLS measurements is 0.23 ? 0.52 mm. Our method is robust and can be applied in emergency and routine settings.

Resumo Limpo

midlin shift mls import quantit featur clinician use evalu sever brain compress various patholog midlin consist mani anatom structur includ septum pellucidum sp thin membran frontal horn fh later ventricl propos procedur can measur mls recogn sp within given ct studi fh region select ventricular region expert rule multiresolut binari level set method sp recogn use hough transform weight repeat morpholog eros system test imag patient admit neurosurg intens care unit result evalu human expert mean differ automat manual mls measur mm method robust can appli emerg routin set

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