Koninklijke Philips Corporation N.v.

Roland Johannes Opfer

Rafael Wiemker

Thomas Buelow

Steffen Renisch

Sven Kabus

Joerg Sabczynski

Ingwer Curt Carlsen

Tobias Klinder

Cristian Lorenz

Jens Von Berg

Lilla Boroczky

Thomas Blaffert

Nicole Schadewaldt

Sebastian Peter Michael Dries

Hans Barschdorf

Ingwer-Curt Carlsen

Robbert Christiaan Van Ommering

Pradyumna Dutta

Arvid Randal Nicolaas

Paola Karina Tulipano

An oncology monitoring system comprises: an image analysis module () configured to perform an oncological monitoring operation based on images of a subject, for example acquired by positron emission tomography (PET) and computed tomography (CT); and a clinical guideline support module (). The clinical guideline support module is configured to: display a graphical flow diagram (GFD) of a clinical therapy protocol for treating the subject comprising graphical blocks (B, B, B, B, B, B, B, B, B, B, B, B, B, B, B) representing therapeutic or monitoring operations of the clinical therapy protocol including at least one monitoring operation performed by the image analysis module; annotate a graphical block of the graphical flow diagram with subject-specific information pertaining to a therapeutic or monitoring operation represented by the graphical block; and display an annotation (POP) of a graphical block (B) responsive to selection of the graphical block by a user.

PET/CT based monitoring system supported by a clinical guideline navigator

A system for displaying a set of interrelated objects comprises an initializer () for identifying a plurality of interrelated objects, a first information filter () for selecting a first subset of the plurality of interrelated objects for display based on a first information filter setting, a first displayer () for displaying the first subset of the plurality of interrelated objects on a first display area, a user interface () for enabling a user to select a region of the first display area for enlargement by visually indicating the region in the first display area, wherein the user can select the region independently of locations of the displayed objects in the first display area, a second information filter () for selecting a second subset of the plurality of interrelated objects for display based on a second information filter setting, wherein the second information filter is arranged for selecting objects corresponding to the selected region with an increased level of information detail compared to the first information filter, and a second displayer () for displaying the second subset of the plurality of interrelated objects on a second display area.

Displaying a set of interrelated objects

A system for displaying lung ventilation information, the system comprising an input () and a processing unit (). The input being provided for receiving multiple CT images () of a lung, each CT image () corresponding to one phase of at least two different phases in a respiratory cycle. The processing unit () being configured to compare CT images () corresponding to different phases in the respiratory cycle for determining a deformation vector field for each phase, to generate for each phase a ventilation image () based on the corresponding deformation vector field, to spatially align the ventilation images (), and to generate for at least one common position () in each one of the aligned ventilation images (), a function () of a time course of a ventilation value for said common position (), each ventilation value in the function () being based on the deformation vector fields corresponding to the aligned ventilation images ().

System for providing lung ventilation information

A data structure for use by a computer system for processing medical image data and representing at least one first region of a patient includes at least one computer-detected feature of interest. The data structure includes a first computer code that is executable to detect first data representing at least one second region included within a respective first region. At least one said feature of interest in said second region has a significant likelihood of representing a computer-detected false positive. The second computer code is executable to provide second data for enabling at least one said first region to be displayed on a display device, such that at least one said second region is displayed on the display apparatus differently from part of said first region not containing features of interest having a significant likelihood of representing computer-detected false positives.

Apparatus and method for indicating likely computer-detected false positives in medical imaging data

An apparatus produces image space data () indicative of the spatially varying strength of the vascular connections between locations in the image space and a lesion or other feature of interest. The data may be presented by way of a maximum intensity projection (MIP) display in which the brightness of the image represents the strength of the vascular connection.

Visualization of vascularization

A hot spot detection system for automatically segmenting and quantifying hot spots in functional images includes a segmentation unit () to segment an anatomical image representation () into regions corresponding to anatomical structures of a subject. A hot spot detection unit () detects regions of high uptake from a functional second image representation (). The regions of high tracer uptake indicate high metabolic activity which maybe caused by potentially hazardous tumor lesions or other malignant processes. However, a number of normally functioning organs uptake high amounts of imaging tracer, particularly FDG. Therefore, a suppression unit () suppresses regions of high tracer uptake in the functional second image representation based on the results of a classification unit (). The classification unit classifies the regions of high tracer uptake according to their position relative to the anatomical structures segmented from the anatomical first image representation. The remaining un-suppressed regions of high uptake are identified by an identification unit () as one of potential lesion and non-potential lesion.

Anatomy modeling for tumor region of interest definition

A method for splitting a dataset relating to an anatomical tree structure () comprises establishing a plurality of seed points () within the tree structure; establishing a length of a path () along the tree structure from each of the plurality of seed points () to each of a plurality of other points (); establishing a Euclidean distance () from each of the plurality of seed points () to each of the plurality of other points (); associating with the seed point () a measure representing a likelihood that the seed point is the root point in dependence on the established lengths () and distances (); identifying the root point of the tree structure () as the seed point () associated with a maximum measure representing the likelihood that the respective seed point is the root point; and establishing the principal bifurcation point () in dependence on the root point.

Automated hierarchical splitting of anatomical trees

A system () for visualizing a vascular structure represented by a three-dimensional angiography dataset is disclosed. Respective voxel values are associated with respective voxels. The dataset represents a vascular structure. The system comprises means () for establishing respective filling values; means () for identifying respective minimum filling values; means () for computing respective deficiency values; and an output () for providing a visualization in dependence on the deficiency values. A respective filling value is indicative of an amount of blood flow at the respective position in the vascular structure. A respective minimum filling value is a minimum of the filling values associated with the positions upstream of the respective position. A respective deficiency value is indicative of a difference between the filling value associated with the respective position and the minimum filling value associated with the respective position.

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Hamburg, Germany

Roland Johannes Opfer