Siemens Aktiengesellschaft

Siemens Medical Solutions Usa, Inc.

Siemens Healthineers Ag

Günther Platsch

Sebastian Schmidt

Diana Martin

Michael Szimtenings

Kristin Schmiedehausen

Thorsten Feiweier

Michael E Casey

Sasa Grbic

Zhoubing Xu

James J Hamill

Dominik Neumann

Martin Requardt

Bruce S Spottiswoode

Guillaume Chabin

Fei Gao

The invention describes a method for automatically localizing organ segments in a three-dimensional image comprising the following steps: providing a three-dimensional image showing at least one organ and at least one tubular network comprising a plurality of tubular structures, the organ comprising organ segments; performing automatic separation of the organ from other parts of the image; performing automatic tracing of the tubular network to obtain a branch map; performing automatic analysis of the branch map to identify specific tubular structures; performing automatically assigning regions of the organ to the specific tubular structures to segment the organ into localized organ segments; and outputting the localized organ segments and the traced and analyzed tubular network as image data. The invention further describes a localization arrangement and a medical imaging system.

Method and arrangement for automatically localizing organ segments in a three-dimensional image

A computerized method is disclosed for detecting a brain region with neurodegenerative change and also a brain region with vascular change in the brain of a patient and also an imaging arrangement suitable for this. In at least one embodiment, the method includes recording a first data record of the brain via positron emission tomography and a second data record of the brain via magnetic resonance imaging; reconstructing a PET image from the first data record and an MRI image from the second data record; identifying evidence for a brain region with vascular change in the MRI image; segmenting the MRI image into gray matter and white matter; identifying a brain region with neurodegenerative change in the PET image; and superposing the PET image and the segmented MRI image to determine whether the brain region with neurodegenerative change is present in gray matter or in white matter, the recording of the first data record and the second data record being carried out in quick succession without repositioning the patient or is even carried out simultaneously.

Method for detecting a brain region with neurodegenerative change

A medical imaging device has an emission tomograph, at least one ultrasonic (US) probe for providing images giving real-time information about the location of the internal organs of a subject, a tracking system for spatially locating the at least one ultrasonic probe in relation to the medical imaging device, and an image processing unit in which the location information obtained by the ultrasonic probe is used for attenuation correction of image information obtained by the emission tomograph.

Ultrasonic imager for motion measurement in multi-modality emission imaging

A method is disclosed for data acquisition and/or data evaluation during a functional brain examination with the aid of a combined magnetic resonance/PET unit. In at least one embodiment, functional image data of the brain are acquired in at least two activity states with the aid of both modalities. Further, magnetic resonance image data and PET image data are acquired within time windows determined by the activity states, the acquisition mode and/or the image data being synchronized as a function of a timing of stimulations determining the activity states.

Method for data acquisition and/or data evaluation during a functional brain examination with the aid of a combined magnetic resonance/PET unit

A method is disclosed for determining attenuation values for PET data of a patient. In at least one embodiment, the method includes detecting at least one accessory of a magnetic resonance imaging scanner and detecting the position and/or alignment of the accessory by way of an imaging measuring method; comparing the detected accessory with data from a database; and assigning an attenuation map, which is contained in the database, to attenuation values of the detected accessory and adapting the attenuation map to the detected position and/or alignment of the accessory.

Method for determining attenuation values for PET data of a patient

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Röthenbach, Germany

Günther Platsch