B-Mode Ultrasound Breast Anatomy Segmentation
| Autor: | Rute M. Santos, António M. Carreiro, João F. Teixeira, Hélder P. Oliveira |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
medicine.diagnostic_test
business.industry Anisotropic diffusion Computer science 020208 electrical & electronic engineering Usability Magnetic resonance imaging Pattern recognition 02 engineering and technology medicine.disease 030218 nuclear medicine & medical imaging Visualization 03 medical and health sciences 0302 clinical medicine Breast cancer Data structure alignment 0202 electrical engineering electronic engineering information engineering medicine Segmentation Artificial intelligence business Breast ultrasound |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783030505158 ICIAR (2) |
| DOI: | 10.1007/978-3-030-50516-5_17 |
| Popis: | Breast Ultrasound has long been used to support diagnostic and exploratory procedures concerning breast cancer, with an interesting success rate, specially when complemented with other radiology information. This usability can further enhance visualization tasks during pre-treatment clinical analysis by coupling the B-Mode images to 3D space, as found in Magnetic Resonance Imaging (MRI) per instance. In fact, Lesions in B-mode are visible and present high detail when comparing with other 3D sequences. This coupling, however, would be largely benefited from the ability to match the various structures present in the B-Mode, apart from the broadly studied lesion. In this work we focus on structures such as skin, subcutaneous fat, mammary gland and thoracic region. We provide a preliminary insight to several structure segmentation approaches in the hopes of obtaining a functional and dependable pipeline for delineating these potential reference regions that will assist in multi-modal radiological data alignment. For this, we experiment with pre-processing stages that include Anisotropic Diffusion guided by Log-Gabor filters (ADLG) and main segmentation steps using K-Means, Meanshift and Watershed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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