Siemens Medical Solutions Usa, Inc.

Siemens Healthcare Gmbh

Matthew Mitchell

Shiv Shanker Verma

Collin Schaeffer

Paul Schleyer

Sebastian Fuerst

Tobias Wenig

A framework for motion correction in medical image data. In accordance with one aspect, one or more anatomical ranges where motion is expected are identified in a localizer image of a subject. Image reconstruction with motion correction may be performed based on medical image data within the one or more anatomical ranges to generate motion corrected image data. The motion corrected image data may then be combined with non-motion corrected image data to generate final image data.

Motion correction for medical image data

Anatomic range planning is provided in positron emission tomography (PET). The user indicates one or more ranges on an image of a patient based on anatomy. Rather than planning by bed position, the planning is based on the anatomy of the patient without reference to the length of the PET detector. The user interface for PET examination avoids overlapping boxes and other confusion based on bed position. Different anatomical ranges may be assigned different PET parameters, such as reconstruction parameters. A processor may automatically alter the examination (e.g., by extending the detection range beyond the region of interest or by increasing duration at an end position) to account for the sensitivity profile since the anatomical region of interest is known. Anatomical region specific directions may be included as part of planning, aiding in performing different protocols for different anatomical ranges.

Anatomic range planning in positron emission tomography

A first gate data representing a first plurality of time gates for a first medical imaging modality (e.g., PET or CT) is provided. The first plurality of time gates are based on a plurality of cycles of an acquired physiological signal of a person. A gate width is determined for a second medical imaging modality (e.g., CT or PET). A second gate data is generated, representing a second plurality of time gates for the second medical imaging modality. Each time gate in the second plurality of time gates has the determined gate width and is generated dependent on a respective time gate in the first plurality of time gates.

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Knoxville, TN, United States of America

Matthew Mitchell