Abstract: A hybrid medical apparatus having an imaging unit, an irradiation unit, and a patient support apparatus is provided. The imaging unit is configured to record image data of an examination region. The irradiation unit is configured to carry out an irradiation of at least a part of the examination region. The imaging unit and the irradiation unit have a common isocenter. The irradiation unit is arranged for rotational movement along a first perimeter independently of the imaging unit. An X-ray source and an X-ray detector of the imaging unit are arranged for movement such that a central beam between the X-ray source and the X-ray detector runs through the common isocenter. The patient support apparatus and/or the imaging unit and/or the irradiation unit is movable along a first spatial axis such that the examination region of the examination object is able to be arranged in the common isocenter.

Abstract: A hybrid medical apparatus having an imaging unit, an irradiation unit, and a patient support apparatus is provided. The imaging unit is configured to record image data of an examination region. The irradiation unit is configured to carry out an irradiation of at least a part of the examination region. The imaging unit and the irradiation unit have a common isocenter. The irradiation unit is arranged for rotational movement along a first perimeter independently of the imaging unit. An X-ray source and an X-ray detector of the imaging unit are arranged for movement such that a central beam between the X-ray source and the X-ray detector runs through the common isocenter. The patient support apparatus and/or the imaging unit and/or the irradiation unit is movable along a first spatial axis such that the examination region of the examination object is able to be arranged in the common isocenter.

Abstract: When constructing compensators for radiation therapy using ion or proton radiation beams, a computer-aided compensator editing method includes overlaying an initial 3D compensator model on an anatomical image of a target mass (e.g., a tumor) in a patient, along with radiation dose distribution information. A user manipulates pixels or voxels in the compensator model on a display, and a processor automatically adjusts the dose distribution according to the user edits. The user iteratively adjusts the compensator model until the dose distribution is optimized, at which time the optimized compensator model is stored to memory and/or output to a machining device that constructs a compensator from the optimized model.

Abstract: The embodiments relate to a reconstructing an image of an examination object, a medical imaging apparatus, and a computer program product where a first image data record is acquired with a first imaging modality and at least one further image data record of at least one further imaging modality is provided. At least one first image is reconstructed on the basis of the first image data record using the at least one further image data record.

Abstract: In a method and system for planning irradiation of a patient for therapy, a first time series acquired from computed tomography scan data of the patient is provided to a processor, as is a second time series acquired from magnetic resonance scan data of the patient. A first parameter that characterizes the first time series is acquired, as is a second parameter that characterizes the second time series. The first time series and the second time series are combined in the processor using the first parameter and the second parameter. An irradiation plan is calculated in the processor using the combined first time series and second time series.

Abstract: A system and method for developing radiation therapy plans and a system and method for developing a radiation therapy plan to be used in a radiation therapy treatment is disclosed. A radiation therapy plan is developed using a registration of medical images. The registration is based on identifying landmarks located within inner body structures.

Abstract: In a method and system for planning irradiation of a patient for therapy, a first time series acquired from computed tomography scan data of the patient is provided to a processor, as is a second time series acquired from magnetic resonance scan data of the patient. A first parameter that characterizes the first time series is acquired, as is a second parameter that characterizes the second time series. The first time series and the second time series are combined in the processor using the first parameter and the second parameter. An irradiation plan is calculated in the processor using the combined first time series and second time series.

Abstract: In a method and magnetic resonance apparatus for planning radiotherapy for a patient, quantitative magnetic resonance measurement data of a planning volume in the patient are acquired using a quantitative magnetic resonance method, a three-dimensional distribution of values of an electron density parameter in the planning volume are determined in a processor based on the acquired quantitative magnetic resonance measurement data, and a radiotherapy plan is calculated using the three-dimensional distribution of the values of the electron density parameter.

Abstract: The embodiments relate to a reconstructing an image of an examination object, a medical imaging apparatus, and a computer program product where a first image data record is acquired with a first imaging modality and at least one further image data record of at least one further imaging modality is provided. At least one first image is reconstructed on the basis of the first image data record using the at least one further image data record.

Abstract: When performing multimodal radiotherapy planning, an optimizer (36) concurrently optimizes a combined treatment plan that employs an intensity modulated radiotherapy (IMRT) device (30) and an intensity modulated proton therapy (IMPT) that respectively generate a photon beam and an ion beam for treating a volume of interest (18) in a patient (34). A simulator (40) iteratively generates multiple variations of a simulation model (44) according to optimization parameters that are varied by the optimizer (36) until the simulation model (44) satisfies user-entered treatment objective criteria (48) (e.g., maximum dose, does placement, etc.

Abstract: An exemplary embodiment of the invention provides a method for producing a triangulation of a surface of a physical object the method comprising the steps of generating an intermediate mesh representation of the surface out of surface voxels (102) and detecting at least one T-junction in the intermediate mesh representation (103). The method further comprising the steps of decomposing of the at least one T-junction into at least one triangle and at least one two-point-polygon (104), and generating the triangulation of the surface out of the modelled intermediate mesh representation (107).

Abstract: An image segmentation method segments a plurality of image features in an image. The plurality of image features are segmented non-simultaneously in succession. The segmenting of each image feature includes adapting an initial mesh to boundaries of the image feature. The segmenting of each image feature further includes preventing the adapted mesh from overlapping any previously adapted mesh.

Abstract: Quantification of metric or functional parameters often requires image segmentation. A crucial part of such method is the model of the surface characteristics of the object of interest (features), which drives the deformable surface towards the object boundary in the image. According to the present invention, sections of the mesh are assigned to different classes for different features. According to the present invention, the assignment of mesh sections to the classes is adapted by using actual feature information from the unseen image. Advantageously, this allows for an adaptation of the feature category to which the mesh section is assigned and thereby allows an improved segmentation of the object.

Abstract: When modeling anatomical structures in a patient for diagnosis or therapeutic planning, an atlas (26) of segmented co-registered CT and MRI anatomical structure reference images can be accessed, and an image of one or more such structures can be selected and overlaid with an MRI image of corresponding structure(s) in a clinical image of a patient. A user can click and drag landmarks or segment edges on the reference MRI image to deform the reference MRI image to align with the patient MRI image. Registration of a landmark in the patient MRI image to the reference MRI image also registers the patient MRI image landmark with a corresponding landmark in the co-registered reference CT image, and electron density information from the reference CT image landmark is automatically attributed to the corresponding registered patient MRI landmark.

Abstract: A method of data processing is provided for estimating a position of an object in an image from a position of a reference object in a reference image. The method includes learning the position of the reference object in the reference image and its relation to a set of reference landmarks in the reference image, accessing the image, accessing the relation between the position of the reference object and the set of the reference landmarks, identifying a set of landmarks in the image corresponding to the set of the reference landmarks, and applying the relation to the set of landmarks in the image for estimating the position of the object in the image.

Abstract: When adapting models of anatomical structures in a patient for diagnosis or therapeutic planning, an atlas (26) of predesigned anatomical structure models or image volumes can be accessed, and a segmentation of one or more such structures can be selected and overlaid on an a 3D image of corresponding structure(s) in a clinical image (52) of a patient. A user can click on an initially unapproved segmentation 5 landmark (72) on the patient image (52), reposition the unapproved landmark, and approve the repositioned landmark. Remaining unapproved landmarks (72) are then repositioned as a function of the position of the approved landmark (92) using one or more interpolation techniques to adapt the model to the patient image on the fly.

Abstract: The invention relates to a method of measuring geometric variables of a three-dimensional structure contained in an object from at least on image representing the object, having the following steps:—use of a deformable first model describing the structure, the shape of which model can be described by parameters,—adjustment of the first model to the structure in the image,—determination of the parameters at which the first model exhibits optimum conformity with the structure,—use of a deformable second model describing the structure, which second model in shape corresponds to the first model, and which in addition contains at least one geometric variable,—modification of the second model according to the parameters determined, and—derivation of the geometric variable(s) from the modified second model.

Abstract: When performing multimodal radiotherapy planning, an optimizer (36) concurrently optimizes a combined treatment plan that employs an intensity modulated radiotherapy (IMRT) device (30) and an intensity modulated proton therapy (IMPT) that respectively generate a photon beam and an ion beam for treating a volume of interest (18) in a patient (34). A simulator (40) iteratively generates multiple variations of a simulation model (44) according to optimization parameters that are varied by the optimizer (36) until the simulation model (44) satisfies user-entered treatment objective criteria (48) (e.g., maximum dose, does placement, etc.

Abstract: A system comprises a therapy tasks scheduling module (30) constructing a workflow schedule for performing a plurality of therapy tasks including dose optimizations, and a dose optimization module (26) performing a dose optimization in accordance with the workflow schedule to generate a therapy plan. The dose optimization module performs inverse radiation therapy planning that iteratively adjusts (82) a set of radiation therapy parameters (70) to optimize a simulated spatial dose distribution (72) respective to a set of radiation therapy objectives (78). In some embodiments, at least some iterations update a region of a fluence map that is smaller than the entire fluence map. In some embodiments, at least some iterations optimize the simulated spatial dose distribution respective to a subset of the set of radiation therapy objectives. In some embodiments, the simulated spatial dose distribution has a nonuniform voxel size.

Abstract: An imaging system (10) includes imaging modalities such as a PET imaging system (12) and a CT scanner (14). The CT scanner (14) is used to produce a first image (62) which is used for primary contouring. The PET system (12) is used to provide a second image (56), which provides complementary information about the same or overlapping anatomical region. After first and second images (62, 56) are registered with one another the first and second images (62, 56) are concurrently segmented to outline a keyhole (76). The keyhole portion of the second image (56) is inserted into the keyhole (76) of the first image (62). The user can observe the composite image and deform a boundary (78) of the keyhole (76) by a mouse (52) to better focus on the region of interest within previously defined keyhole.