Siemens Aktiengesellschaft

Siemens Healthcare Gmbh

Ecole Polytechnique Federale De Lausanne

Alexis Roche

Tobias Kober

Gunnar Krueger

Kieran O'Brien

An atlas-free magnetic resonance imaging method images at least one part of a brain. An MRI sequence configured for acquiring two image volumes of the part at different inversion times within a single acquisition is combined to a fat-water separation method for acquiring a fat-water separated image. For each echo time two image volumes are acquired, respectively a first image volume and a second image volume at the first echo time, and a first image volume and a second image volume at the second echo time, and combined to a uniform image. The acquired images are combined to form a final uniform image, a final fat-water separated image, and a final second image volume that are fed into a multichannel image segmentation algorithm using a Markov random field model for segmenting the part into multiple classes of cranial tissues, in order to obtain a segmented image of said part.

Atlas-free brain tissue segmentation method using a single T1-weighted MRI acquisition

A simple method to denoise ratio images in magnetic resonance imaging, includes generating a MRI sequence provided for acquiring data from an object to be imaged, wherein the MRI sequence is configured for generating at least two different standard images, respectively a first standard image and a second standard image, acquiring the two different standard images, and combining the two different standard images in a ratio image. The ratio image is obtained by calculating a ratio of the first standard image and the second standard image that is tunable by a parameter &#x3b3; wherein the parameter &#x3b3; is automatically chosen for maximizing the negentropy of the ratio image.

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Jouxtens-Mezéry, Switzerland

Alexis Roche