Method and system for creating a quantitative positron emission tomography image
A method for creating a quantitative positron emission tomography (PET) image of a subject or object comprises recording correction information data with an imaging device; transmitting the correction information data to a first evaluating unit which includes at least one of preparing an attenuation map on based on the correction information data and passing on the attenuation map as checking data to a second evaluating unit or sending the correction information data as checking data to the second evaluating unit; assessing the checking data based on a quantity of reference data and detecting possible artifacts in the checking data by way of the second evaluating unit; at least one of initializing correction measures by way of the second evaluating unit or proposing correction measures to a user; and preparing a corrected attenuation map based on the correction measures.
1. A method for creating a quantitative positron emission tomography (PET) image of a subject or object, the method comprising:
recording correction information data with at least one imaging device, the at least one imaging device including at least one of a magnetic resonance scanner, a computed tomography scanner or a positron emission tomography scanner;
transmitting the correction information data or a first part of the correction information data to a first evaluating unit, the transmitting including at least one of
preparing an attenuation map based on the correction information data by way of the first evaluating unit and sending the attenuation map as checking data to a second evaluating unit, or
sending the correction information data or a second part of the correction information data as the checking data to the second evaluating unit;
assessing the checking data based on a quantity of reference data and detecting possible artifacts in the checking data by way of the second evaluating unit, the assessing including at least one of in the event of the detection of at least one artifact,
initializing correction measures by way of the second evaluating unit, or proposing correction measures to a user by way of the second evaluating unit via an output device and providing a possibility for the user to initialize at least one of the correction measures or correction measures modified by the user, wherein the correction measures are configured to at least one of weaken or eliminate the at least one artifact; and
preparing a corrected attenuation map based on the correction measures,
wherein the corrected attenuation map corresponds to an uncorrected attenuation map if no artifacts have been detected.
2. The method of claim 1 , wherein the reference data comprises at least one of reference attenuation maps or reference correction information data.
3. The method of claim 1 , wherein at least one of the first evaluating unit or the second evaluating unit comprise a trained algorithm.
4. The method of claim 1 , wherein the assessing is based on at least one of reference attenuation maps or reference correction information data in accordance with a predetermined classification of artifacts.
5. The method of claim 1 , wherein
the assessing is based on at least one of reference attenuation maps or reference correction information data in accordance with a predetermined assessment measure, and
the predetermined assessment measure comprises differentiating criteria according to which anomalies in the at least one of the attenuation map or in the correction information data are classified as artifact or no artifact.
6. The method of claim 4 , wherein the second evaluating unit comprises:
a catalog of measures which are associated with the predetermined classification, the catalog of measures including,
proposed correction measures to the user,
automatic execution of correction measures, and
optional output of information to the user via the output device.
7. The method of claim 1 , wherein the artifacts comprise anatomical anomalies, the anatomical anomalies including at least one of,
at least one of missing extremities or implants,
artifacts caused by movement of the subject,
metal artifacts,
Gibbs artifacts,
at least one of aliasing or wrap-around artifacts, or
at least one of artifacts caused by RF noise or artifacts caused by chemical shift.
8. The method of claim 1 , wherein the proposing includes outputting additional information regarding the at least one artifact via the output device to the user.
9. The method of claim 1 , wherein the correction measures comprise at least one of a repetition of the recording of the correction information data or an adaptation of recording parameters for a recording of the correction information data which is to be repeated.
10. The method of claim 1 , wherein
the second evaluating unit is trained via input training data and via output training data,
the input training data comprises at least one of reference attenuation maps or reference correction information data, and
the output training data comprises at least one of a predetermined classification or a predetermined assessment of artifacts in the input training data.
11. A positron emission tomography system (PET) comprising:
an imaging device;
an output device; an input device; and
a control unit configured to actuate the imaging device, wherein the control unit includes,
a first evaluating unit, and
a second evaluating unit, the control unit is configured, to cause the PET system to perform the method of claim 1 .
12. A non-transitory computer-readable medium on which a computer program is stored which comprises instructions which, executed by a control unit of a positron emission tomography system, cause the positron emission tomography system to perform the method of claim 1 .
13. A non-transitory computer-readable medium on which a computer program is stored which comprises instructions which, executed by a control unit of a positron emission tomography system, cause the positron emission tomography system to perform the method of claim 2 .
14. The method of claim 1 , further comprising:
receiving positron emission tomography scan data and applying the corrected attenuation map to the positron emission tomography scan data to create a quantitative positron emission tomography image.
15. The method of claim 2 , wherein the assessing is based on at least one of reference attenuation maps or reference correction information data in accordance with a predetermined classification of artifacts.
16. The method of claim 15 , wherein
the assessing is based on at least one of reference attenuation maps or reference correction information data in accordance with a predetermined assessment measure, and
the predetermined assessment measure comprises differentiating criteria according to which anomalies in the at least one of the attenuation map or in the correction information data are classified as artifact or no artifact.
17. The method of claim 15 , wherein the second evaluating unit comprises:
a catalog of measures which are associated with the predetermined classification, the catalog of measures including,
proposed correction measures to the user,
automatic execution of correction measures, and
optional output of information to the user via the output device.
18. The method of claim 17 , wherein the artifacts comprise anatomical anomalies, the anatomical anomalies including at least one of,
at least one of missing extremities or implants,
artifacts caused by movement of the subject,
metal artifacts,
Gibbs artifacts,
at least one of aliasing or wrap-around artifacts, or
at least one of artifacts caused by RF noise or artifacts caused by chemical shift.
19. The method of claim 18 , wherein the proposing includes outputting additional information regarding the at least one artifact via the output device to the user.
20. The method of claim 19 , wherein the correction measures comprise at least one of a repetition of the recording of the correction information data or an adaptation of recording parameters for a recording of the correction information data which is to be repeated.