IEEE Trans Image Process - Anisotropic diffusion filter with memory based on speckle statistics for ultrasound images.

Tópicos

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Resumo

Ultrasound (US) imaging exhibits considerable difficulties for medical visual inspection and for development of automatic analysis methods due to speckle, which negatively affects the perception of tissue boundaries and the performance of automatic segmentation methods. With the aim of alleviating the effect of speckle, many filtering techniques are usually considered as a preprocessing step prior to automatic analysis methods or visual inspection. Most of the state-of-the-art filters try to reduce the speckle effect without considering its relevance for the characterization of tissue nature. However, the speckle phenomenon is the inherent response of echo signals in tissues and can provide important features for clinical purposes. This loss of information is even magnified due to the iterative process of some speckle filters, e.g., diffusion filters, which tend to produce over-filtering because of the progressive loss of relevant information for diagnostic purposes during the diffusion process. In this paper, we propose an anisotropic diffusion filter with a probabilistic-driven memory mechanism to overcome the over-filtering problem by following a tissue selective philosophy. In particular, we formulate the memory mechanism as a delay differential equation for the diffusion tensor whose behavior depends on the statistics of the tissues, by accelerating the diffusion process in meaningless regions and including the memory effect in regions where relevant details should be preserved. Results both in synthetic and real US images support the inclusion of the probabilistic memory mechanism for maintaining clinical relevant structures, which are removed by the state-of-the-art filters.

Resumo Limpo

ultrasound us imag exhibit consider difficulti medic visual inspect develop automat analysi method due speckl negat affect percept tissu boundari perform automat segment method aim allevi effect speckl mani filter techniqu usual consid preprocess step prior automat analysi method visual inspect stateoftheart filter tri reduc speckl effect without consid relev character tissu natur howev speckl phenomenon inher respons echo signal tissu can provid import featur clinic purpos loss inform even magnifi due iter process speckl filter eg diffus filter tend produc overfilt progress loss relev inform diagnost purpos diffus process paper propos anisotrop diffus filter probabilisticdriven memori mechan overcom overfilt problem follow tissu select philosophi particular formul memori mechan delay differenti equat diffus tensor whose behavior depend statist tissu acceler diffus process meaningless region includ memori effect region relev detail preserv result synthet real us imag support inclus probabilist memori mechan maintain clinic relev structur remov stateoftheart filter

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