Method for producing result images for an examination object
First Claim
1. A method for automatically producing result images for an examination object using section image data from the examination object, comprising:
- ascertaining a target structure in the section image data on the basis of a diagnostic questionnaire;
using the target structure as a basis for selecting an anatomical norm model with geometry variable using model parameters;
automatically adapting the norm model to the target structure in the section image data;
segmenting the section image data on the basis of the adapted norm model, with anatomical structures of the examination object which are relevant to the diagnostic questionnaire being separated by selecting all of the pixels within the section image data which are either situated within a contour of at least one of the adapted norm model and at least one model part in line with the relevant anatomical structures, or have a maximum discrepancy therefrom by a particular difference value; and
at least one of visually displaying the relevant anatomical structures separately and storing the relevant anatomical structures for later visual display.
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Abstract
A method is for automatically producing result images for an examination object using section image data. In this case, a target structure is first of all ascertained in the section image data on the basis of a diagnostic questionnaire, and the target structure is taken as a basis for selecting an anatomical norm model whose geometry can be varied using model parameters. The norm model is automatically adapted to the target structure. The section image data are then segmented on the basis of the adapted norm model, with anatomical structures of the examination object which are relevant to the diagnostic questionnaire being separated by selecting all of the pixels within the section image data which are situated within a contour of the adapted norm model and/or at least one model part in line with the relevant structures or have a maximum discrepancy therefrom by a particular value. The relevant structures are then visually displayed separately and/or are stored for later visual display. The document also describes a corresponding image processing system.
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Citations
23 Claims
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1. A method for automatically producing result images for an examination object using section image data from the examination object, comprising:
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ascertaining a target structure in the section image data on the basis of a diagnostic questionnaire;
using the target structure as a basis for selecting an anatomical norm model with geometry variable using model parameters;
automatically adapting the norm model to the target structure in the section image data;
segmenting the section image data on the basis of the adapted norm model, with anatomical structures of the examination object which are relevant to the diagnostic questionnaire being separated by selecting all of the pixels within the section image data which are either situated within a contour of at least one of the adapted norm model and at least one model part in line with the relevant anatomical structures, or have a maximum discrepancy therefrom by a particular difference value; and
at least one of visually displaying the relevant anatomical structures separately and storing the relevant anatomical structures for later visual display. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 18, 19, 20, 21, 22, 23)
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16. An image processing system for automatically producing result images for an examination object using section image data from the examination object, comprising:
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an interface for receiving the measured section image data;
a target-structure ascertainment unit for ascertaining a target structure in the section image data on the basis of a diagnostic questionnaire;
a memory device having a number of anatomical norm models for various target structures in the section image data, whose geometry may respectively be varied on the basis of particular model parameters;
a selection unit for selecting one of the anatomical norm models in line with the ascertained target structure;
an adaptation unit for adapting the selected norm model to the target structure in the section image data;
a segmentation unit for segmenting the section image data on the basis of the adapted norm model and, in so doing, separating anatomical structures of the examination object which are relevant to the diagnostic questionnaire by selecting all of the pixels within the section image data which at least one of are situated within a contour of the adapted norm model or a model part in line with the relevant anatomical structures and have a maximum discrepancy therefrom by a particular difference value; and
a visual display unit for at least one of automatically visually displaying the relevant anatomical structures separately and storing the relevant anatomical structures for later visual display. - View Dependent Claims (17)
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Specification