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- Borga, Magnus, et al.
(författare)
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FSED - feature selective edge detection
- 2000
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Ingår i: Proceedings of 15th International Conference on Pattern Recognition, Barcelona. - : IEEE. - 0769507506
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Konferensbidrag (refereegranskat)abstract
- We present a method that finds edges between certain image features, e.g. gray-levels, and disregards edges between other features. The method uses a channel representation of the features and performs normalized convolution using the channel values as certainties. This means that areas with certain features can be disregarded by the edge filter. The method provides an important tool for finding tissue specific edges in medical images, as demonstrated by an MR-image example.
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| 4. |
- Friman, Ola, et al.
(författare)
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Emphysema Detection in CT Images
- 2002
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- This paper describes a fully automatic approach for detecting emphysema in CT im ages of the lungs. The method combines an image processing step, where potential emphysematous area s are extracted, and a neural network step trained to rec
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- Friman, Ola, et al.
(författare)
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Imaging Brain Function
- 2002
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)
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| 6. |
- Knutsson, Hans, et al.
(författare)
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Respiratory Arifact Reduction in MRI using Dynamic Deformation Modelling
- 2002
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- This paper presents a novel magnetic resonance imaging (MRI) reconstruction method that will reconstruct an object correctly despite the presence of respiratory-type motions. The basis for the method is the observation that affine deformations of an object will correspond to a different but unique affine coordinate transform of the Fourier representation (k-space) of the object. The resulting sample points will be irregularly distributed prohibiting the use of standard IFFT to reconstruct the object. The object can however be reconstructed through the use of a weighted regularized pseudo inverse. Short computing times are obtained using a novel fast sequential pseudo inverse algorithm.
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