LIMITED FIELD OF VIEW LOCALIZATION FOR MAGNETIC RESONANCE MEDICAL IMAGING
Rather than the whole-body scout scan, multiple scout scans of different regions are used to locate the target for magnetic resonance scanning. A diagnostic scan may be planned in as little time as possible based on localization using multiple scout scans of different regions of the patient. The planning of the different regions may be optimized to minimize the number and/or time for localizing the target.
1 . A method of localizing a target for magnetic resonance (MR) scanning, the method comprising:
estimating an initial position of the target relative to a magnetic resonance scanner from first data, the target comprising an object in a patient, and the first data comprises pre-scan information;
performing multiple scout scans for different regions of the patient, the different regions based on the initial position;
determining a subsequent position of the target relative to the magnetic resonance scanner from the scout scans; and
diagnostically imaging the target with the magnetic resonance scanner, the imaging configured by the subsequent position of the target.
2 . The method of claim 1 , wherein the magnetic resonance scanner comprises a field of view with a diameter of spherical homogenous volume of less than 50 centimeters, wherein the scout scans are of different regions of the patient using the field of view.
3 . The method of claim 2 , wherein the diameter is less than 30 cm.
4 . The method of claim 2 , wherein the diameter is less than 10 cm.
5 . The method of claim 1 , wherein estimating comprises estimating from the pre-scan information comprising patient registration data, measurements from an exterior of the patient, and/or a previously acquired representation of an interior of the patient.
6 . The method of claim 1 , wherein estimating comprises estimating by an artificial intelligence in response to input of the pre-scan information.
7 . The method of claim 1 , wherein performing comprises mechanically moving the patient relative to the magnetic resonance scanner for the scout scans of the different regions.
8 . The method of claim 1 , wherein performing comprises adjusting a central frequency so that at least some of the different regions of the scout scans are outside of a homogenous scanning volume.
9 . The method of claim 1 , wherein determining comprises aggregating scout scan data from the scout scans and estimating the subsequent position from the aggregated scout scan data.
10 . The method of claim 1 , wherein performing and determining are interleaved so that one or more of the different regions are selected by a deep reinforcement learning artificial intelligence based on previous ones of the scout scans.
11 . The method of claim 10 , wherein the deep reinforcement learning artificial intelligence selects a short-term plan, and each short-term plan indicates how to select a next of the different regions.
12 . The method of claim 1 , wherein diagnostically imaging comprises generating settings for radio frequency subsystem and a gradient subsystem of the magnetic resonance scanner to scan the subsequent location.
13 . The method of claim 1 , wherein at least one of the scout scans is performed after beginning the diagnostically imaging, and further comprising adjusting for motion based on scan data of the at least one of the scout scans performed after beginning the diagnostically imaging.
14 . The method of claim 1 , wherein diagnostically imaging comprises adjusting a patient position relative to the magnetic resonance scanner based on the subsequent position.
15 . A magnetic resonance (MR) system comprising:
a MR scanner configured by settings of controls to scan a diagnostic region of a patient, the scan providing scan data, the diagnostic region being within a homogenous volume field of view of the MR scanner; and
a processor configured to scout scan different scout regions of the patient using values of the settings, configured to determine a location of the diagnostic region from the scout scan of the different scout regions, and configured to perform the scan of the diagnostic region based on the determined location.
16 . The MR system of claim 15 , wherein the values of the settings for the scout scan of the different scout regions use different contrast weightings for the different scout regions.
17 . The MR system of claim 15 , wherein the processor is configured to estimate an initial location of the diagnostic region from a previous whole-body scan, the different scout regions established based on the initial location.
18 . The MR system of claim 15 , further comprising:
a patient support for the patient, the patient support moveable relative to the MR scanner;
wherein the processor is configured to perform the scout scan and/or the scan of the diagnostic region with controlled movement of the patient support.
19 . The MR system of claim 15 , wherein the processor is configured to scout scan and/or determine the location with an artificial intelligence previously trained to extrapolate information outside of a current field of view.
20 . A method for localizing a target for magnetic resonance (MR) scanning, the method comprising:
performing, by a magnetic resonance system, multiple scout scans of different regions of the patient, the magnetic resonance system having a field of view corresponding to a diameter of a spherical homogenous volume of 30 cm or less such that each of the different regions are outside the field of view of others of the different regions;
determining, by a machine-learned model implemented by a processor, a position of the target relative to the magnetic resonance system from the multiple scout scans; and
imaging the target with the magnetic resonance system, the imaging configured by the position of the target.