TUMOR BOUNDARY RECONSTRUCTION USING HYPERSPECTRAL IMAGING
First Claim
1. Computer implemented method of determining a boundary of a tumor region (120) or other diseased tissue, the method comprising the steps of:
- receiving (S1) hyper/multi-spectral image data (140) corresponding to a tissue sample (110) comprising a tumor region (120) or other diseased tissue;
performing (S2) a morphological analysis of the hyper/multi-spectral image data (140) thereby generating a morphological tumor boundary (150) or a morphological diseased tissue boundary corresponding to the tumor region (120) or the other diseased tissue;
performing (S3) a spectral analysis of the hyper/multi-spectral image (140) data thereby generating a spectral tumor boundary (160) or a spectral diseased tissue boundary corresponding to the tumor region (120) or the other diseased tissue;
generating (S4) a combined tumor boundary (170) based on the morphological tumor boundary (150) and the spectral tumor boundary (160) or generating a combined diseased tissue boundary based on the morphological diseased tissue boundary and the spectral diseased tissue boundary.
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Abstract
In a computer implemented method of determining a boundary of a tumor region or other diseased tissue, hyper- or multispectral image data of a tissue sample including a tumor region or other diseased tissue is taken. The analysis includes a morphological analysis and a spectral analysis of the hyper- or multispectral image data resulting in a morphological tumor boundary and a spectral tumor boundary or a morphological diseased tissue boundary and a spectral diseased tissue boundary. These two boundaries are combined resulting in a combined tumor boundary or combined diseased tissue boundary, wherein an indication of reliability of the combined tumor boundary or combined diseased tissue boundary is given.
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Citations
15 Claims
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1. Computer implemented method of determining a boundary of a tumor region (120) or other diseased tissue, the method comprising the steps of:
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receiving (S1) hyper/multi-spectral image data (140) corresponding to a tissue sample (110) comprising a tumor region (120) or other diseased tissue; performing (S2) a morphological analysis of the hyper/multi-spectral image data (140) thereby generating a morphological tumor boundary (150) or a morphological diseased tissue boundary corresponding to the tumor region (120) or the other diseased tissue; performing (S3) a spectral analysis of the hyper/multi-spectral image (140) data thereby generating a spectral tumor boundary (160) or a spectral diseased tissue boundary corresponding to the tumor region (120) or the other diseased tissue; generating (S4) a combined tumor boundary (170) based on the morphological tumor boundary (150) and the spectral tumor boundary (160) or generating a combined diseased tissue boundary based on the morphological diseased tissue boundary and the spectral diseased tissue boundary. - View Dependent Claims (2, 3, 4)
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5. Computer program product comprising instructions which when executed on a processor cause the processor to carry out a method of determining a boundary of a tumor region (120) or other diseased tissue, the method comprising the steps of:
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receiving hyper/multi-spectral image data (140) corresponding to a tissue sample (110) comprising a tumor region (120) or other diseased tissue; performing a morphological analysis of the hyper/multi-spectral image data (140) thereby generating a morphological tumor boundary (150) or a morphological diseased tissue boundary corresponding to the tumor region (120) or the other diseased tissue; performing a spectral analysis of the hyper/multi-spectral image data (140) thereby generating a spectral tumor boundary (160) or a spectral diseased tissue boundary corresponding to the tumor region (120) or the other diseased tissue; generating a combined tumor boundary (170) based on the morphological tumor boundary (150) and the spectral tumor boundary (160);
or generating a combined diseased tissue boundary based on the morphological diseased tissue boundary and the spectral diseased tissue boundary.
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6. Medical image classification system (100) for determining a boundary of a tumor region (120) or other diseased tissue, the medical image classification system comprising:
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a receiving device (190) configured to receive spectral image data (140) corresponding to a tissue sample (110) comprising a tumor region (120) or other diseased tissue; a morphological analysis device configured to perform a morphological analysis of the spectral image data (140) thereby generating a morphological tumor boundary (150) or a morphological diseased tissue boundary corresponding to the tumor region (120) or the other diseased tissue; a spectral analysis device configured to perform a spectral analysis of the spectral image data (140) thereby generating a spectral tumor boundary (160) or a spectral diseased tissue boundary corresponding to the tumor region (120) or the other diseased tissue; and a combination device configured for generating a combined tumor boundary (170) based on the morphological tumor boundary (150) and the spectral tumor boundary (160) or for generating a combined diseased tissue boundary based on the morphological diseased tissue boundary and the spectral diseased tissue boundary. - View Dependent Claims (7, 8, 9, 10, 11, 12, 13, 14, 15)
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Specification