Publication

Brain tissue segmentation of fetal MR images

Jean-Philippe Thiran, Meritxell Bach Cuadra
2009
Conference Papers

Abstract

We present a segmentation method for fetal brain tissues of T2w MR images, based on the well known Expectation Maximization Markov Random Field (EM- MRF) scheme. Our main contribution is an intensity model composed of 7 Gaussian distribution designed to deal with the large intensity variability of fetal brain tissues. The second main contribution is a 3-steps MRF model that introduces both local spatial and anatomical priors given by a cortical distance map. Preliminary results on 4 subjects are presented and evaluated in comparison to manual segmentations showing that our methodology can successfully be applied to such data, dealing with large intensity variability within brain tissues and partial volume (PV).

Official source

https://infoscience.epfl.ch/entities/publication/6f8e5526-5fd0-485e-ae4b-30b5dcec7743

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Jean-Philippe Thiran, Meritxell Bach Cuadra
2009
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/6f8e5526-5fd0-485e-ae4b-30b5dcec7743

About this result

Related concepts (19)

Image segmentation

In and computer vision, image segmentation is the process of partitioning a into multiple image segments, also known as image regions or image objects (sets of pixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. More precisely, image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain characteristics.

Object co-segmentation

In computer vision, object co-segmentation is a special case of , which is defined as jointly segmenting semantically similar objects in multiple images or video frames. It is often challenging to extract segmentation masks of a target/object from a noisy collection of images or video frames, which involves object discovery coupled with . A noisy collection implies that the object/target is present sporadically in a set of images or the object/target disappears intermittently throughout the video of interest.

Human brain

The human brain is the central organ of the human nervous system, and with the spinal cord makes up the central nervous system. The brain consists of the cerebrum, the brainstem and the cerebellum. It controls most of the activities of the body, processing, integrating, and coordinating the information it receives from the sense organs, and making decisions as to the instructions sent to the rest of the body. The brain is contained in, and protected by, the skull bones of the head.

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