Abstract: A non-transitory computer readable medium (26) stores instructions executable by at least one electronic processor (20) to perform a radiation therapy (RT) treatment decision method (100) that includes: calculating (102) an initial score (30) for a pre-interventional patient for each RT option of a set of RT options (32), wherein the initial score for each RT option is indicative of likelihood of discontinuation of RT in accordance with that RT option; displaying (104) the initial scores and, via a user interface (28), receiving a selection of at least one RT option from the set of RT options; for each selected RT option: optimizing (106) a RT plan (34) for the patient in accordance with the selected RT treatment option; computing (108) one or more toxicity metrics (36) for the optimized RT plan, and calculating (110) a final score (38) based on the one or more toxicity metrics for the optimized RT plan, the final score being indicative of likelihood of discontinuation of the RT treatment in accordance with t

Abstract: Thereto a method and a system for planning radiation therapy are provided, as well as an arrangement for radiation therapy planning and a computer program product for carrying out the method. For planning the radiation therapy, the following steps are performed. Patient data of a subject to be treated is received as well as image data of the subject to be treated. The image data comprises anatomical image data of one or more organs at risk associated with the functioning of the immune system. Next, the patient 122 data and the image data are processed to obtain a risk score for the one or more organs at risk associated with the functioning of the immune system. The risk score is indicative of the risk of hematologic toxicity in the subject to be treated in response to the radiation therapy. Then the radiation therapy treatment is planned using the obtained risk score.

Abstract: A method includes identifying an imaging workflow process and constructing and displaying, in a graphical user interface, a graphical process tree for the imaging workflow process and a plurality of steps thereof. The method further includes identifying a standard of interest and mapping the plurality of steps into the standard of interest in the displayed graphical process tree. The method further includes receiving, via the graphical user interface, an input indicating a potential failure mode information for two or more of the steps, calculating at least one risk priority number for each step, evaluating the numeric assessment of risk based on a risk priority number threshold, and visually highlighting displayed steps corresponding to steps with risk priority numbers that exceed the risk priority number threshold. The method further includes determining a risk management plan to mitigate risk based on the highlighted steps.

Abstract: The invention relates to a device (40) for standard uptake value, SUV, determination during an emission tomography imaging procedure of a patient. The device receives SUV-related data required for SUV determination, and event data relating to one or more events that may affect the SUV determination. The SUV-related data includes a time of administration of the radiotracer dose to the patient. The event data includes at least one of: a time at which an emission tomography imaging procedure of the patient is performed, patient motion data, patient position data, and patient vital signs data. An anomalous event determination unit (42) determines, based on the event data, anomalous event information indicative of one or more anomalous events that affect the SUV determination. An SUV determination unit (43) determines the SUV based on said SUV-related data taking into account the anomalous event information.

Abstract: The invention relates to a system for generating a radiotherapy treatment plan (33; 34) for treating a target structure within a patient body. The system comprises (i) a modeling unit configured to determine a series of estimates (31a-d; 32a-d) of a delineation of the target structure for consecutive points of time during the radiation therapy treatment on the basis of a model quantifying changes of the delineation with time, and (ii) a planning unit configured to determine the treatment plan (33; 34) on the basis of the series of estimates (31a-d; 32a-d) of the delineation of the target structure. Further, the invention relates to method carried out in the system.

Abstract: A method includes identifying an imaging workflow process and constructing and displaying, in a graphical user interface, a graphical process tree for the imaging workflow process and a plurality of steps thereof. The method further includes identifying a standard of interest and mapping the plurality of steps into the standard of interest in the displayed graphical process tree. The method further includes receiving, via the graphical user interface, an input indicating a potential failure mode information for two or more of the steps, calculating at least one risk priority number for each step, evaluating the numeric assessment of risk based on a risk priority number threshold, and visually highlighting displayed steps corresponding to steps with risk priority numbers that exceed the risk priority number threshold. The method further includes determining a risk management plan to mitigate risk based on the highlighted steps.

Abstract: The invention relates to a system for generating a radiotherapy treatment plan (33; 34) for treating a target structure within a patient body. The system comprises (i) a modeling unit configured to determine a series of estimates (31a-d; 32a-d) of a delineation of the target structure for consecutive points of time during the radiation therapy treatment on the basis of a model quantifying changes of the delineation with time, and (ii) a planning unit configured to determine the treatment plan (33; 34) on the basis of the series of estimates (31a-d; 32a-d) of the delineation of the target structure. Further, the invention relates to method carried out in the system.

Abstract: The invention relates to a device (40) for standard uptake value, SUV, determination during an emission tomography imaging procedure of a patient. The device receives SUV-related data required for SUV determination, and event data relating to one or more events that may affect the SUV determination. The SUV-related data includes a time of administration of the radiotracer dose to the patient. The event data includes at least one of: a time at which an emission tomography imaging procedure of the patient is performed, patient motion data, patient position data, and patient vital signs data. An anomalous event determination unit (42) determines, based on the event data, anomalous event information indicative of one or more anomalous events that affect the SUV determination. An SUV determination unit (43) determines the SUV based on said SUV-related data taking into account the anomalous event information.

Abstract: A multimodal imaging apparatus (1a, 1b) including scintillator elements (31) for capturing incident gamma quanta (25, 61) and for emitting scintillation photons (26) in response to said captured gamma quanta (25, 61). Photosensitive elements (33) capture the emitted scintillation photons (26) and determine a spatial distribution of the scintillation photons. The imaging apparatus (1a, 1b) is configured to be switched between a first operation mode for detecting low energy gamma quanta and a second operation mode for detecting high energy gamma quanta. The scintillator elements are arranged to capture incident gamma quanta (25, 61) from the same area of interest (65) in both operation modes. The scintillator elements (31) include a first region with high energy scintillator elements (27) for capturing high energy gamma quanta and a second region with low energy scintillator elements (29) for capturing low energy gamma quanta.

Abstract: A medical system (28) for normalization correction of an imaging system (10) includes a detector geometry correction unit (44), a crystal efficiency unit (46), and a normalization unit (54). The detector geometry correction unit (44) mathematically calculates a detector geometry correction component for a type of scanner (12) of interest. The crystal efficiency unit (46) configured to empirically determine a crystal efficiency component for at least one individual scanner (12). The normalization unit (54) generates a normalization data set (56) which corresponds to a normalization correction factor of the at least one individual scanner (12) in accordance with the detector geometry correction component and the crystal efficiency component.

Abstract: The present invention relates to a multimodal imaging apparatus (1a, 1b) for imaging a process (63) in a subject (23), said process (63) causing the emission of gamma quanta (25, 61), said apparatus (1a, 1b) comprising a scintillator (3) including scintillator elements (31) for capturing incident gamma quanta (25, 61) generated by the radiotracer and for emitting scintillation photons (26) in response to said captured gamma quanta (25, 61), a photodetector (5) including photosensitive elements (33) for capturing the emitted scintillation photons (26) and for determining a spatial distribution of the scintillation photons, and a readout electronics (7) for determining the impact position of an incident gamma quantum in the scintillator (3) and/or a parameter indicative of the emission point of the gamma quantum (25, 61) in the subject (23) based on the spatial distribution of the scintillation photons, wherein the imaging apparatus (1a, 1b) is configured to be switched between a first operation mode for detect

Abstract: A medical system (28) for normalization correction of an imaging system (10) includes a detector geometry correction unit (44), a crystal efficiency unit (46), and a normalization unit (54). The detector geometry correction unit (44) mathematically calculates a detector geometry correction component for a type of scanner (12) of interest. The crystal efficiency unit (46) configured to empirically determine a crystal efficiency component for at least one individual scanner (12). The normalization unit (54) generates a normalization data set (56) which corresponds to a normalization correction factor of the at least one individual scanner (12) in accordance with the detector geometry correction component and the crystal efficiency component.