Image and physiological data fusion for guidance and modelling of cardiac resynchronization therapy procedures

YingLiang Ma; Simon G.  Duckett; Phani  Chinchapatnam; Anoop K.  Shetty; C. Aldo Rinaldi; Tobias  Schaeffter; Kawal S Rhode

doi:10.1007/978-3-642-15835-3_11

Image and physiological data fusion for guidance and modelling of cardiac resynchronization therapy procedures

YingLiang Ma, Simon G. Duckett, Phani Chinchapatnam, Anoop K. Shetty, C. Aldo Rinaldi, Tobias Schaeffter, Kawal S Rhode

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

4 Citations (Scopus)

Abstract

Cardiac resynchronization therapy (CRT) can be an effective procedure for patients with heart failure but 30% of patients do not respond. This may be partially caused by the sub-optimal placement of the left ventricular (LV) lead. Detailed cardiac anatomy and dyssynchrony information could improve optimal LV lead placement. As a pre-interventional imaging modality, cardiac magnetic resonance (MR) imaging has the potential to provide all the relevant information. Whole heart MR image data can be processed to yield detailed anatomical models including the coronary veins. Cine MR data can be used to measure the motion of the LV to determine which regions are late-activating. Finally, late Gadolinium enhancement imaging can be used to detect regions of scarring. This paper presents a complete software solution for the guidance of CRT using pre-procedural MR data combined with live X-ray fluoroscopy. The platform was evaluated using 7 live CRT cases. For each patient, a detailed cardiac model was generated and registered to the X-ray fluoroscopy using multiple views of a catheter looped in the right atrium. There was complete freedom of movement of the X-ray system and respiratory motion compensation was achieved by tracking the diaphragm. The registration was validated using balloon occlusion coronary venograms. The mean 2D target registration error for 7 patients was 1.3 ± 0.68 mm. All patients had a successful left lead implant.

Original language	English
Title of host publication	International Workshop on Statistical Atlases and Computational Models of the Heart
Subtitle of host publication	STACOM 2010
Publisher	Springer
Pages	105-113
Number of pages	9
ISBN (Electronic)	978-3-642-15835-3
ISBN (Print)	978-3-642-15834-6
DOIs	https://doi.org/10.1007/978-3-642-15835-3_11
Publication status	Published - 2010
Externally published	Yes
Event	Statistical Atlases and Computational Models of the Heart, First International Workshop, 2010, and Cardiac Electrophysiological Simulation Challenge, 2010 - Beijing, China Duration: 20 Sep 2010 → 20 Sep 2010 Conference number: 1

Publication series

Name	Lecture Notes in Computer Science
Volume	6364

Conference

Conference	Statistical Atlases and Computational Models of the Heart, First International Workshop, 2010, and Cardiac Electrophysiological Simulation Challenge, 2010
Abbreviated title	STACOM 2010, CESC 2010
Country/Territory	China
City	Beijing
Period	20/09/10 → 20/09/10

Keywords

cardiac resynchronization therapy
fluoroscopy overlay
motion compensation
interventional guidance

Access to Document

10.1007/978-3-642-15835-3_11

Cite this

Ma, Y., Duckett, S. G., Chinchapatnam, P., Shetty, A. K., Rinaldi, C. A., Schaeffter, T., & Rhode, K. S. (2010). Image and physiological data fusion for guidance and modelling of cardiac resynchronization therapy procedures. In International Workshop on Statistical Atlases and Computational Models of the Heart: STACOM 2010 (pp. 105-113). ( Lecture Notes in Computer Science ; Vol. 6364). Springer . https://doi.org/10.1007/978-3-642-15835-3_11

Image and physiological data fusion for guidance and modelling of cardiac resynchronization therapy procedures. / Ma, YingLiang; Duckett, Simon G. ; Chinchapatnam, Phani ; Shetty, Anoop K. ; Rinaldi, C. Aldo; Schaeffter, Tobias ; Rhode, Kawal S.

International Workshop on Statistical Atlases and Computational Models of the Heart: STACOM 2010. Springer , 2010. p. 105-113 ( Lecture Notes in Computer Science ; Vol. 6364).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Ma, Y, Duckett, SG, Chinchapatnam, P, Shetty, AK, Rinaldi, CA, Schaeffter, T & Rhode, KS 2010, Image and physiological data fusion for guidance and modelling of cardiac resynchronization therapy procedures. in International Workshop on Statistical Atlases and Computational Models of the Heart: STACOM 2010. Lecture Notes in Computer Science , vol. 6364, Springer , pp. 105-113, Statistical Atlases and Computational Models of the Heart, First International Workshop, 2010, and Cardiac Electrophysiological Simulation Challenge, 2010, Beijing, China, 20/09/10. https://doi.org/10.1007/978-3-642-15835-3_11

Ma Y, Duckett SG, Chinchapatnam P, Shetty AK, Rinaldi CA, Schaeffter T et al. Image and physiological data fusion for guidance and modelling of cardiac resynchronization therapy procedures. In International Workshop on Statistical Atlases and Computational Models of the Heart: STACOM 2010. Springer . 2010. p. 105-113. ( Lecture Notes in Computer Science ). https://doi.org/10.1007/978-3-642-15835-3_11

Ma, YingLiang ; Duckett, Simon G. ; Chinchapatnam, Phani ; Shetty, Anoop K. ; Rinaldi, C. Aldo ; Schaeffter, Tobias ; Rhode, Kawal S. / Image and physiological data fusion for guidance and modelling of cardiac resynchronization therapy procedures. International Workshop on Statistical Atlases and Computational Models of the Heart: STACOM 2010. Springer , 2010. pp. 105-113 ( Lecture Notes in Computer Science ).

@inproceedings{3789bf3c578d4f64be51f5430d79ae0f,

title = "Image and physiological data fusion for guidance and modelling of cardiac resynchronization therapy procedures",

abstract = "Cardiac resynchronization therapy (CRT) can be an effective procedure for patients with heart failure but 30% of patients do not respond. This may be partially caused by the sub-optimal placement of the left ventricular (LV) lead. Detailed cardiac anatomy and dyssynchrony information could improve optimal LV lead placement. As a pre-interventional imaging modality, cardiac magnetic resonance (MR) imaging has the potential to provide all the relevant information. Whole heart MR image data can be processed to yield detailed anatomical models including the coronary veins. Cine MR data can be used to measure the motion of the LV to determine which regions are late-activating. Finally, late Gadolinium enhancement imaging can be used to detect regions of scarring. This paper presents a complete software solution for the guidance of CRT using pre-procedural MR data combined with live X-ray fluoroscopy. The platform was evaluated using 7 live CRT cases. For each patient, a detailed cardiac model was generated and registered to the X-ray fluoroscopy using multiple views of a catheter looped in the right atrium. There was complete freedom of movement of the X-ray system and respiratory motion compensation was achieved by tracking the diaphragm. The registration was validated using balloon occlusion coronary venograms. The mean 2D target registration error for 7 patients was 1.3 ± 0.68 mm. All patients had a successful left lead implant.",

keywords = "cardiac resynchronization therapy, fluoroscopy overlay, motion compensation, interventional guidance",

author = "YingLiang Ma and Duckett, {Simon G.} and Phani Chinchapatnam and Shetty, {Anoop K.} and Rinaldi, {C. Aldo} and Tobias Schaeffter and Rhode, {Kawal S}",

year = "2010",

doi = "10.1007/978-3-642-15835-3_11",

language = "English",

isbn = "978-3-642-15834-6",

series = " Lecture Notes in Computer Science ",

publisher = "Springer ",

pages = "105--113",

booktitle = "International Workshop on Statistical Atlases and Computational Models of the Heart",

address = "Germany",

note = "Statistical Atlases and Computational Models of the Heart, First International Workshop, 2010, and Cardiac Electrophysiological Simulation Challenge, 2010, STACOM 2010, CESC 2010 ; Conference date: 20-09-2010 Through 20-09-2010",

}

TY - GEN

T1 - Image and physiological data fusion for guidance and modelling of cardiac resynchronization therapy procedures

AU - Ma, YingLiang

AU - Duckett, Simon G.

AU - Chinchapatnam, Phani

AU - Shetty, Anoop K.

AU - Rinaldi, C. Aldo

AU - Schaeffter, Tobias

AU - Rhode, Kawal S

N1 - Conference code: 1

PY - 2010

Y1 - 2010

N2 - Cardiac resynchronization therapy (CRT) can be an effective procedure for patients with heart failure but 30% of patients do not respond. This may be partially caused by the sub-optimal placement of the left ventricular (LV) lead. Detailed cardiac anatomy and dyssynchrony information could improve optimal LV lead placement. As a pre-interventional imaging modality, cardiac magnetic resonance (MR) imaging has the potential to provide all the relevant information. Whole heart MR image data can be processed to yield detailed anatomical models including the coronary veins. Cine MR data can be used to measure the motion of the LV to determine which regions are late-activating. Finally, late Gadolinium enhancement imaging can be used to detect regions of scarring. This paper presents a complete software solution for the guidance of CRT using pre-procedural MR data combined with live X-ray fluoroscopy. The platform was evaluated using 7 live CRT cases. For each patient, a detailed cardiac model was generated and registered to the X-ray fluoroscopy using multiple views of a catheter looped in the right atrium. There was complete freedom of movement of the X-ray system and respiratory motion compensation was achieved by tracking the diaphragm. The registration was validated using balloon occlusion coronary venograms. The mean 2D target registration error for 7 patients was 1.3 ± 0.68 mm. All patients had a successful left lead implant.

AB - Cardiac resynchronization therapy (CRT) can be an effective procedure for patients with heart failure but 30% of patients do not respond. This may be partially caused by the sub-optimal placement of the left ventricular (LV) lead. Detailed cardiac anatomy and dyssynchrony information could improve optimal LV lead placement. As a pre-interventional imaging modality, cardiac magnetic resonance (MR) imaging has the potential to provide all the relevant information. Whole heart MR image data can be processed to yield detailed anatomical models including the coronary veins. Cine MR data can be used to measure the motion of the LV to determine which regions are late-activating. Finally, late Gadolinium enhancement imaging can be used to detect regions of scarring. This paper presents a complete software solution for the guidance of CRT using pre-procedural MR data combined with live X-ray fluoroscopy. The platform was evaluated using 7 live CRT cases. For each patient, a detailed cardiac model was generated and registered to the X-ray fluoroscopy using multiple views of a catheter looped in the right atrium. There was complete freedom of movement of the X-ray system and respiratory motion compensation was achieved by tracking the diaphragm. The registration was validated using balloon occlusion coronary venograms. The mean 2D target registration error for 7 patients was 1.3 ± 0.68 mm. All patients had a successful left lead implant.

KW - cardiac resynchronization therapy

KW - fluoroscopy overlay

KW - motion compensation

KW - interventional guidance

U2 - 10.1007/978-3-642-15835-3_11

DO - 10.1007/978-3-642-15835-3_11

M3 - Conference proceeding

SN - 978-3-642-15834-6

T3 - Lecture Notes in Computer Science

SP - 105

EP - 113

BT - International Workshop on Statistical Atlases and Computational Models of the Heart

PB - Springer

T2 - Statistical Atlases and Computational Models of the Heart, First International Workshop, 2010, and Cardiac Electrophysiological Simulation Challenge, 2010

Y2 - 20 September 2010 through 20 September 2010

ER -

Image and physiological data fusion for guidance and modelling of cardiac resynchronization therapy procedures

Abstract

Publication series

Conference

Keywords

Access to Document

Fingerprint

Cite this