Wyniki wyszukiwania - BazTech

1

Automatic segmentation of infant brain MR images: With special reference to myelinated white matter

Devi C. N., Chandrasekharan A., Sundararaman V. K., Alex Z. C.

Biocybernetics and Biomedical Engineering

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2017

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Vol. 37, no. 1

143--158

EN

Automatic segmentation of infant brain images is faced with numerous challenges like poor image contrast, motion artifacts, and changes caused by progressive myelination of the infant brain. Since timely myelination points to normal brain maturity, monitoring the progress and degree of myelination is clinically significant. However, most of the existing segmentation methods do not segment myelinated portions of the infant brain. In this paper, we propose a segmentation approach focused on segmenting the myelinated white matter tissue in T1-weighted magnetic resonance images of the infant brain. The novelty of the algorithm lies in the introduction of a weighted localized Tsallis entropy based thresh-olding method. The proposed method is also tested on older babies beyond the one-year age mark to verify its utility and robustness. It is seen that the mean Dice coefficients obtained for myelin segmentation by the proposed weighted localized method are higher than that of the other methods, namely, the conventional Tsallis entropy thresholding and modified localized method.

2

Finding the distance to the object using the method of spatial-temporal framing

Piszczek M.

Przegląd Elektrotechniczny

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2016

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R. 92, nr 11

75--78

EN

Range Gated Imaging cameras require to define of the image range. In the absence of the information about the location of objects, the choice of camera parameters can be very time consuming. Proposed new approach - it is a two-step procedure using the properties of spatialtemporal framing method, which can significantly reduce this time. An additional benefit may be the ability of the camera to work independently. The camera can be used for simultaneous positioning of many objects in geographical coordinates.

PL

Kamery Range Gated Imaging wymagają definiowania zasięgu obrazowania. Przy braku informacji o położeniu obiektów dobór parametrów kamery może być bardzo czasochłonny. Zaproponowano nowe podejście – jest nim dwuetapowa procedura wykorzystująca właściwości metody kadrowania przestrzenno-czasowego, która może istotnie skrócić ten czas. Dodatkową korzyścią może być zdolność kamery do samodzielnej pracy. Kamerę taką można wykorzystać do jednoczesnego pozycjonowania wielu obiektów we współrzędnych geograficznych.

3

Robust 4D segmentation of cells in confocal images

Mischler D., Romaniuk B., Benassarou A., Bittar E.

Machine Graphics and Vision

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2006

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Vol. 15, No. 3/4

515-524

EN

We present a method to automatically extract the evolution of the cell envelope in 4D confocal images. Our method is based on 4D ReAM, a tracking system consisting of a previously presented deformable surface model, which can change its topology. The process consists in attracting the model for each volume of a 4D series towards an iso-surface of interest, and towards the image gradients. We then statistically estimate the characteristics of the cell surface on the nodes of the model, and reconstruct it. We show detailed results on the segmentation of the cell envelope during the mitosis.