Abstract
A framework for computed tomography (CT) and magnetic resonance (MR) image fusion is proposed for potential application in cardiac resynchronization therapy (CRT). The MR dataset has been pre-processed compensating for organ motion induced inter-slices misalignment. The geometrical center alignment of CT and MR short axis (SAX) reconstructed 3D volume has been considered as initialization for voxel-based 6 degree of freedom image registration between 3D CT (moving image) and MR SAX (fixed image). The process driven by normalized mutual information cost function featuring multi-resolution two-level approach with gradient descent optimizer was adopted to improve the numerical stability. The retrieved transformation was applied to CT to perform data fusion with LAX and Gd-enhanced MR images. Fused data was visually inspected and judged reliable for correspondence of cardiac structures. The proposed approach constitutes the pre-processing step for multi-modality visualization of different information: coronary veins anatomy from CT, necrotic tissue from Gd-enhanced MR, dyssynchrony map from SAX and LAX MR.
| Original language | English |
|---|---|
| Title of host publication | Computing in Cardiology |
| Pages | 537-540 |
| Number of pages | 4 |
| Volume | 39 |
| Publication status | Published - 2012 |
| Event | 39th Computing in Cardiology Conference, CinC 2012 - Krakow, Poland Duration: Sep 9 2012 → Sep 12 2012 |
Other
| Other | 39th Computing in Cardiology Conference, CinC 2012 |
|---|---|
| Country | Poland |
| City | Krakow |
| Period | 9/9/12 → 9/12/12 |
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ASJC Scopus subject areas
- Cardiology and Cardiovascular Medicine
- Computer Science(all)
Cite this
A framework for CT and MR image fusion in cardiac resynchronization therapy. / Carminati, Maria C.; Maffessanti, Francesco; Gripari, Paola; Pontone, Gianluca; Andreini, Daniele; Pepi, Mauro; Caiani, Enrico G.
Computing in Cardiology. Vol. 39 2012. p. 537-540 6420449.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A framework for CT and MR image fusion in cardiac resynchronization therapy
AU - Carminati, Maria C.
AU - Maffessanti, Francesco
AU - Gripari, Paola
AU - Pontone, Gianluca
AU - Andreini, Daniele
AU - Pepi, Mauro
AU - Caiani, Enrico G.
PY - 2012
Y1 - 2012
N2 - A framework for computed tomography (CT) and magnetic resonance (MR) image fusion is proposed for potential application in cardiac resynchronization therapy (CRT). The MR dataset has been pre-processed compensating for organ motion induced inter-slices misalignment. The geometrical center alignment of CT and MR short axis (SAX) reconstructed 3D volume has been considered as initialization for voxel-based 6 degree of freedom image registration between 3D CT (moving image) and MR SAX (fixed image). The process driven by normalized mutual information cost function featuring multi-resolution two-level approach with gradient descent optimizer was adopted to improve the numerical stability. The retrieved transformation was applied to CT to perform data fusion with LAX and Gd-enhanced MR images. Fused data was visually inspected and judged reliable for correspondence of cardiac structures. The proposed approach constitutes the pre-processing step for multi-modality visualization of different information: coronary veins anatomy from CT, necrotic tissue from Gd-enhanced MR, dyssynchrony map from SAX and LAX MR.
AB - A framework for computed tomography (CT) and magnetic resonance (MR) image fusion is proposed for potential application in cardiac resynchronization therapy (CRT). The MR dataset has been pre-processed compensating for organ motion induced inter-slices misalignment. The geometrical center alignment of CT and MR short axis (SAX) reconstructed 3D volume has been considered as initialization for voxel-based 6 degree of freedom image registration between 3D CT (moving image) and MR SAX (fixed image). The process driven by normalized mutual information cost function featuring multi-resolution two-level approach with gradient descent optimizer was adopted to improve the numerical stability. The retrieved transformation was applied to CT to perform data fusion with LAX and Gd-enhanced MR images. Fused data was visually inspected and judged reliable for correspondence of cardiac structures. The proposed approach constitutes the pre-processing step for multi-modality visualization of different information: coronary veins anatomy from CT, necrotic tissue from Gd-enhanced MR, dyssynchrony map from SAX and LAX MR.
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M3 - Conference contribution
AN - SCOPUS:84875638947
SN - 9781467320740
VL - 39
SP - 537
EP - 540
BT - Computing in Cardiology
ER -