On-line 3D motion estimation using low resolution MRI. (6th August 2015)
- Record Type:
- Journal Article
- Title:
- On-line 3D motion estimation using low resolution MRI. (6th August 2015)
- Main Title:
- On-line 3D motion estimation using low resolution MRI
- Authors:
- Glitzner, M
de Senneville, B Denis
Lagendijk, J J W
Raaymakers, B W
Crijns, S P M - Abstract:
- Abstract: Image processing such as deformable image registration finds its way into radiotherapy as a means to track non-rigid anatomy. With the advent of magnetic resonance imaging (MRI) guided radiotherapy, intrafraction anatomy snapshots become technically feasible. MRI provides the needed tissue signal for high-fidelity image registration. However, acquisitions, especially in 3 D, take a considerable amount of time. Pushing towards real-time adaptive radiotherapy, MRI needs to be accelerated without degrading the quality of information. In this paper, we investigate the impact of image resolution on the quality of motion estimations. Potentially, spatially undersampled images yield comparable motion estimations. At the same time, their acquisition times would reduce greatly due to the sparser sampling. In order to substantiate this hypothesis, exemplary 4 D datasets of the abdomen were downsampled gradually. Subsequently, spatiotemporal deformations are extracted consistently using the same motion estimation for each downsampled dataset. Errors between the original and the respectively downsampled version of the dataset are then evaluated. Compared to ground-truth, results show high similarity of deformations estimated from downsampled image data. Using a dataset with voxel size, deformation fields could be recovered well up to a downsampling factor of 2, i.e. . In a therapy guidance scenario MRI, imaging speed could accordingly increase approximately fourfold, withAbstract: Image processing such as deformable image registration finds its way into radiotherapy as a means to track non-rigid anatomy. With the advent of magnetic resonance imaging (MRI) guided radiotherapy, intrafraction anatomy snapshots become technically feasible. MRI provides the needed tissue signal for high-fidelity image registration. However, acquisitions, especially in 3 D, take a considerable amount of time. Pushing towards real-time adaptive radiotherapy, MRI needs to be accelerated without degrading the quality of information. In this paper, we investigate the impact of image resolution on the quality of motion estimations. Potentially, spatially undersampled images yield comparable motion estimations. At the same time, their acquisition times would reduce greatly due to the sparser sampling. In order to substantiate this hypothesis, exemplary 4 D datasets of the abdomen were downsampled gradually. Subsequently, spatiotemporal deformations are extracted consistently using the same motion estimation for each downsampled dataset. Errors between the original and the respectively downsampled version of the dataset are then evaluated. Compared to ground-truth, results show high similarity of deformations estimated from downsampled image data. Using a dataset with voxel size, deformation fields could be recovered well up to a downsampling factor of 2, i.e. . In a therapy guidance scenario MRI, imaging speed could accordingly increase approximately fourfold, with acceptable loss of estimated motion quality. … (more)
- Is Part Of:
- Physics in medicine & biology. Volume 60:Number 16(2015:Aug.)
- Journal:
- Physics in medicine & biology
- Issue:
- Volume 60:Number 16(2015:Aug.)
- Issue Display:
- Volume 60, Issue 16 (2015)
- Year:
- 2015
- Volume:
- 60
- Issue:
- 16
- Issue Sort Value:
- 2015-0060-0016-0000
- Page Start:
- N301
- Page End:
- N310
- Publication Date:
- 2015-08-06
- Subjects:
- deformable image registration -- local deformations -- resampling -- data sufficiency
Biophysics -- Periodicals
Medical physics -- Periodicals
610.153 - Journal URLs:
- http://ioppublishing.org/ ↗
http://iopscience.iop.org/0031-9155 ↗ - DOI:
- 10.1088/0031-9155/60/16/N301 ↗
- Languages:
- English
- ISSNs:
- 0031-9155
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 6770.xml