Erdt, Marius ; Steger, Sebastian ; Wesarg, Stefan (2012)
Deformable Registration of MR Images using a Hierarchical Patch Based Approach With a Normalized Metric Quality Measure.
2012 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
doi: 10.1109/ISBI.2012.6235815
Conference or Workshop Item, Bibliographie
Abstract
Magnitude Diffusion Weighted Magnetic Resonance Imaging (DW-MRI) is used to detect lesions in abdominal organs such as the liver. For diagnosis and interventional planning, DW-MRI needs to be registered with Magnetic Resonance (MRI) images in order to provide an anatomical context. DWMRI usually generates images that contain large regions with only little image information. This makes it difficult to elastically register those images to images from other imaging modalities. In this work, we apply a deformable registration approach in order to register magnitude DW-MRI data with MRI images. A normalized quality measure is used to sort out local deformations in low image signal areas that cause non-plausible local deformations. An evaluation on 5 patients shows promising results.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2012 |
| Creators: | Erdt, Marius ; Steger, Sebastian ; Wesarg, Stefan |
| Type of entry: | Bibliographie |
| Title: | Deformable Registration of MR Images using a Hierarchical Patch Based Approach With a Normalized Metric Quality Measure |
| Language: | English |
| Date: | 2012 |
| Publisher: | IEEE Press, New York |
| Event Title: | 2012 IEEE International Symposium on Biomedical Imaging: From Nano to Macro |
| DOI: | 10.1109/ISBI.2012.6235815 |
| Abstract: | Magnitude Diffusion Weighted Magnetic Resonance Imaging (DW-MRI) is used to detect lesions in abdominal organs such as the liver. For diagnosis and interventional planning, DW-MRI needs to be registered with Magnetic Resonance (MRI) images in order to provide an anatomical context. DWMRI usually generates images that contain large regions with only little image information. This makes it difficult to elastically register those images to images from other imaging modalities. In this work, we apply a deformable registration approach in order to register magnitude DW-MRI data with MRI images. A normalized quality measure is used to sort out local deformations in low image signal areas that cause non-plausible local deformations. An evaluation on 5 patients shows promising results. |
| Uncontrolled Keywords: | Business Field: Digital society, Research Area: Confluence of graphics and vision, Magnetic resonance imaging (MRI), Diagnostic imaging, Surgical planning, Registration, Liver |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Interactive Graphics Systems |
| Date Deposited: | 12 Nov 2018 11:16 |
| Last Modified: | 12 Nov 2018 11:16 |
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