Image-processing of image datasets of patients
AssigneeSiemens Healthcare GmbH
InventorBernd Schreiber
Life of this patent
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Abstract
A method is provided for image-processing an image dataset acquired from a patient by a medical imaging apparatus, (e.g., an X-ray apparatus), wherein the image dataset includes image values associated with image points, and depicts an acquisition region of the patient containing at least one object, (e.g., a medical device), to be enhanced, which is represented by image values within an image-value interval. The method includes determining a non-linearly high-pass filtered enhancement dataset, which is confined to an image portion containing image values lying in the image-value interval. The method also includes determining a result dataset by adding to the image dataset the enhancement dataset weighted by a weighting value. The method further includes outputting the result dataset.
Claims18
A method for image-processing an image dataset acquired from a patient by a medical imaging apparatus, wherein the image dataset comprises image values associated with image points, and depicts an acquisition region of the patient containing at least one object to be enhanced, which is represented by image values within an image-value interval, wherein the method comprises:
- determining a non-linearly high-pass filtered enhancement dataset from a subsection of the image dataset confined to an image portion of the image dataset containing image values lying in the image-value interval, wherein the image portion of the image dataset contains the at least one object to be enhanced;
- generating a result dataset by direct enhancement of the image dataset with the non-linearly high-pass filtered enhancement dataset, wherein the non-linearly high-pass filtered enhancement dataset is added to the image dataset, and wherein the non-linearly high-pass filtered enhancement dataset is weighted by a weighting value comprising a value that is greater than zero, the weighting value defining a magnitude of the non-linearly high-pass filtered enhancement dataset;
- and
- outputting the result dataset.
A non-transitory electronically readable data storage medium on which a computer program is stored, wherein the computer program, when executed by a medical imaging apparatus, causes the medical imaging apparatus to:
- acquire an image dataset from a patient, the image dataset comprising image values associated with image points and depicting an acquisition region of the patient containing at least one object to be enhanced, which is represented by image values within an image-value interval;
- determine a non-linearly high-pass filtered enhancement dataset from a subsection of the image dataset confined to an image portion of the image dataset containing image values lying in the image-value interval, wherein the image portion of the image dataset contains the at least one object to be enhanced;
- generate a result dataset by direct enhancement of the image dataset with the non-linearly high-pass filtered enhancement dataset, wherein the non-linearly high-pass filtered enhancement dataset is added to the image dataset, and wherein the non-linearly high-pass filtered enhancement dataset is weighted by a weighting value comprising a value that is greater than zero, the weighting value defining a magnitude of the non-linearly high-pass filtered enhancement dataset;
- and
- output the result dataset.
A medical imaging apparatus comprising:
- a control apparatus configured to:
- acquire an image dataset from a patient, the image dataset comprising image values associated with image points and depicting an acquisition region of the patient containing at least one object to be enhanced, which is represented by image values within an image-value interval;
- determine a non-linearly high-pass filtered enhancement dataset from a subsection of the image dataset confined to an image portion of the image dataset containing image values lying in the image-value interval, wherein the image portion of the image dataset contains the at least one object to be enhanced;
- generate a result dataset by direct enhancement of the image dataset with the non-linearly high-pass filtered enhancement dataset, wherein the non-linearly high-pass filtered enhancement dataset is added to the image dataset, and wherein the non-linearly high-pass filtered enhancement dataset is weighted by a weighting value comprising a value that is greater than zero, the weighting value defining a magnitude of the non-linearly high-pass filtered enhancement dataset;
- and
- output the result dataset.
Dependencies are inferred from the claim text.