A framework for CT and MR image fusion in cardiac resynchronization therapy

Maria C. Carminati, Francesco Maffessanti, Paola Gripari, Gianluca Pontone, Daniele Andreini, Mauro Pepi, Enrico G. Caiani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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 languageEnglish
Title of host publicationComputing in Cardiology
Pages537-540
Number of pages4
Volume39
Publication statusPublished - 2012
Event39th Computing in Cardiology Conference, CinC 2012 - Krakow, Poland
Duration: Sep 9 2012Sep 12 2012

Other

Other39th Computing in Cardiology Conference, CinC 2012
CountryPoland
CityKrakow
Period9/9/129/12/12

Fingerprint

Cardiac resynchronization therapy
Cardiac Resynchronization Therapy
Image fusion
Magnetic resonance
Tomography
Magnetic Resonance Spectroscopy
Image registration
Convergence of numerical methods
Data fusion
Cost functions
Anatomy
Coronary Vessels
Visualization
Tissue
Costs and Cost Analysis

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Computer Science(all)

Cite this

Carminati, M. C., Maffessanti, F., Gripari, P., Pontone, G., Andreini, D., Pepi, M., & Caiani, E. G. (2012). A framework for CT and MR image fusion in cardiac resynchronization therapy. In Computing in Cardiology (Vol. 39, pp. 537-540). [6420449]

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 proceedingConference contribution

Carminati, MC, Maffessanti, F, Gripari, P, Pontone, G, Andreini, D, Pepi, M & Caiani, EG 2012, A framework for CT and MR image fusion in cardiac resynchronization therapy. in Computing in Cardiology. vol. 39, 6420449, pp. 537-540, 39th Computing in Cardiology Conference, CinC 2012, Krakow, Poland, 9/9/12.
Carminati MC, Maffessanti F, Gripari P, Pontone G, Andreini D, Pepi M et al. A framework for CT and MR image fusion in cardiac resynchronization therapy. In Computing in Cardiology. Vol. 39. 2012. p. 537-540. 6420449
Carminati, Maria C. ; Maffessanti, Francesco ; Gripari, Paola ; Pontone, Gianluca ; Andreini, Daniele ; Pepi, Mauro ; Caiani, Enrico G. / A framework for CT and MR image fusion in cardiac resynchronization therapy. Computing in Cardiology. Vol. 39 2012. pp. 537-540
@inproceedings{ec5bba11b48441af98829e63f4d13fb7,
title = "A framework for CT and MR image fusion in cardiac resynchronization therapy",
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.",
author = "Carminati, {Maria C.} and Francesco Maffessanti and Paola Gripari and Gianluca Pontone and Daniele Andreini and Mauro Pepi and Caiani, {Enrico G.}",
year = "2012",
language = "English",
isbn = "9781467320740",
volume = "39",
pages = "537--540",
booktitle = "Computing in Cardiology",

}

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.

UR - http://www.scopus.com/inward/record.url?scp=84875638947&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84875638947&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84875638947

SN - 9781467320740

VL - 39

SP - 537

EP - 540

BT - Computing in Cardiology

ER -