Integrated wavelets for enhancement of microcalcifications in digital mammography
| Autor: | Peter Dr.rer.nat. Heinlein, W. Schneider, J. Drexl |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
Digital mammography
Databases Factual Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Breast Diseases Wavelet medicine Humans Mammography Computer vision Electrical and Electronic Engineering Continuous wavelet transform Radiological and Ultrasound Technology medicine.diagnostic_test business.industry Calcinosis Wavelet transform Signal Processing Computer-Assisted Image enhancement Computer Science Applications Radiographic Image Enhancement Radiographic Image Interpretation Computer-Assisted Artificial intelligence business Algorithms Software |
| Zdroj: | IEEE Transactions on Medical Imaging. 22:402-413 |
| ISSN: | 0278-0062 |
| DOI: | 10.1109/tmi.2003.809632 |
| Popis: | This paper presents a new algorithm for enhancement of microcalcifications in mammograms. The main novelty is the application of techniques we have developed for construction of filterbanks derived from the continuous wavelet transform. These discrete wavelet decompositions, called integrated wavelets, are optimally designed for enhancement of multiscale structures in images. Furthermore, we use a model based approach to refine existing methods for general enhancement of mammograms resulting in a more specific enhancement of microcalcifications. We present results of our method and compare them with known algorithms. Finally, we want to indicate how these techniques can also be applied to the detection of microcalcifications. Our algorithm was positively evaluated in a clinical study. It has been implemented in a mammography workstation designed for soft-copy reading of digital mammograms developed by IMAGETOOL, Germany. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|