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International Journal of Computer Assisted Radiology and Surgery

Erschienen in:

17.11.2016 | Original Article

Morphology filter bank for extracting nodular and linear patterns in medical images

verfasst von: Ryutaro Hashimoto, Yoshikazu Uchiyama, Keiichi Uchimura, Gou Koutaki, Tomoki Inoue

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 4/2017

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Abstract

Purpose

Using image processing to extract nodular or linear shadows is a key technique of computer-aided diagnosis schemes. This study proposes a new method for extracting nodular and linear patterns of various sizes in medical images.

Methods

We have developed a morphology filter bank that creates multiresolution representations of an image. Analysis bank of this filter bank produces nodular and linear patterns at each resolution level. Synthesis bank can then be used to perfectly reconstruct the original image from these decomposed patterns.

Results

Our proposed method shows better performance based on a quantitative evaluation using a synthesized image compared with a conventional method based on a Hessian matrix, often used to enhance nodular and linear patterns. In addition, experiments show that our method can be applied to the followings: (1) microcalcifications of various sizes in mammograms can be extracted, (2) blood vessels of various sizes in retinal fundus images can be extracted, and (3) thoracic CT images can be reconstructed while removing normal vessels.

Conclusions

Our proposed method is useful for extracting nodular and linear shadows or removing normal structures in medical images.

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Titel: Morphology filter bank for extracting nodular and linear patterns in medical images
verfasst von: Ryutaro Hashimoto
Yoshikazu Uchiyama
Keiichi Uchimura
Gou Koutaki
Tomoki Inoue
Publikationsdatum: 17.11.2016
Verlag: Springer International Publishing
Erschienen in: International Journal of Computer Assisted Radiology and Surgery / Ausgabe 4/2017
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-016-1503-3

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Morphology filter bank for extracting nodular and linear patterns in medical images

Abstract

Purpose

Methods

Results

Conclusions

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Springer Medizin

Abstract

Purpose

Methods

Results

Conclusions

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