Quantitative image correction using semi- and fully-automatic segmentation of hybrid optoacoustic and ultrasound images

Keyphrases

• Fully Automatic Segmentation 100%
• Automatic Segmentation 100%
• Ultrasound Image 100%
• Optical Properties 100%
• Image Correction 100%
• Optoacoustic 100%
• Manual Segmentation 100%
• Quantitative Image 100%
• Multispectral Optoacoustic Tomography 100%
• Complex Scenarios 50%
• Evaluation Method 50%
• High-resolution 50%
• System Design 50%
• State-of-the-art Techniques 50%
• Medical Image Segmentation 50%
• Penetration Depth 50%
• High Contrast 50%
• Imaging Modalities 50%
• Systematic Error 50%
• Spatial Reference 50%
• Efficient Procedure 50%
• Reconstructed Image 50%
• Label Map 50%
• Major Organs 50%
• Quantitative Metrics 50%
• Human Organs 50%
• Multiple Regions 50%
• Quantification Accuracy 50%
• Binary Map 50%
• Fluence Distribution 50%
• Illumination Geometry 50%
• Design Reference 50%
• Ultrasound Detection 50%
• Operator Error 50%
• Adequate Knowledge 50%
• Tissue Excitation 50%
• Spectral Recovery 50%
• Homogeneous Images 50%

Engineering

• Metrics 100%
• State-of-the-Art Method 100%
• Imaging Modality 100%
• Penetration Depth 100%
• Input Information 100%
• Medical Image Segmentation 100%
• Error Operator 100%
• Systematic Error 100%
• High Resolution 100%
• Reconstructed Image 100%
• Multiple Region 100%