Comput. Biol. Med. - Fully automated tumor segmentation based on improved fuzzy connectedness algorithm in brain MR images.

Tópicos

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Resumo

Uncontrollable and unlimited cell growth leads to tumor genesis in the brain. If brain tumors are not diagnosed early and cured properly, they could cause permanent brain damage or even death to patients. As in all methods of treatments, any information about tumor position and size is important for successful treatment; hence, finding an accurate and a fully automated method to give information to physicians is necessary. A fully automatic and accurate method for tumor region detection and segmentation in brain magnetic resonance (MR) images is suggested. The presented approach is an improved fuzzy connectedness (FC) algorithm based on a scale in which the seed point is selected automatically. This algorithm is independent of the tumor type in terms of its pixels intensity. Tumor segmentation evaluation results based on similarity criteria (similarity index (SI), overlap fraction (OF), and extra fraction (EF) are 92.89%, 91.75%, and 3.95%, respectively) indicate a higher performance of the proposed approach compared to the conventional methods, especially in MR images, in tumor regions with low contrast. Thus, the suggested method is useful for increasing the ability of automatic estimation of tumor size and position in brain tissues, which provides more accurate investigation of the required surgery, chemotherapy, and radiotherapy procedures.

Resumo Limpo

uncontrol unlimit cell growth lead tumor genesi brain brain tumor diagnos earli cure proper caus perman brain damag even death patient method treatment inform tumor posit size import success treatment henc find accur fulli autom method give inform physician necessari fulli automat accur method tumor region detect segment brain magnet reson mr imag suggest present approach improv fuzzi connected fc algorithm base scale seed point select automat algorithm independ tumor type term pixel intens tumor segment evalu result base similar criteria similar index si overlap fraction extra fraction ef respect indic higher perform propos approach compar convent method especi mr imag tumor region low contrast thus suggest method use increas abil automat estim tumor size posit brain tissu provid accur investig requir surgeri chemotherapi radiotherapi procedur

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