Improved co-registration of ex-vivo and in-vivo cardiovascular magnetic resonance images using heart-specific flexible 3D printed acrylic scaffold combined with non-rigid registration.


Journal

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
ISSN: 1532-429X
Titre abrégé: J Cardiovasc Magn Reson
Pays: England
ID NLM: 9815616

Informations de publication

Date de publication:
10 10 2019
Historique:
received: 11 11 2018
accepted: 02 09 2019
entrez: 11 10 2019
pubmed: 11 10 2019
medline: 6 5 2020
Statut: epublish

Résumé

Ex-vivo cardiovascular magnetic resonance (CMR) imaging has played an important role in the validation of in-vivo CMR characterization of pathological processes. However, comparison between in-vivo and ex-vivo imaging remains challenging due to shape changes occurring between the two states, which may be non-uniform across the diseased heart. A novel two-step process to facilitate registration between ex-vivo and in-vivo CMR was developed and evaluated in a porcine model of chronic myocardial infarction (MI). Seven weeks after ischemia-reperfusion MI, 12 swine underwent in-vivo CMR imaging with late gadolinium enhancement followed by ex-vivo CMR 1 week later. Five animals comprised the control group, in which ex-vivo imaging was undertaken without any support in the LV cavity, 7 animals comprised the experimental group, in which a two-step registration optimization process was undertaken. The first step involved a heart specific flexible 3D printed scaffold generated from in-vivo CMR, which was used to maintain left ventricular (LV) shape during ex-vivo imaging. In the second step, a non-rigid co-registration algorithm was applied to align in-vivo and ex-vivo data. Tissue dimension changes between in-vivo and ex-vivo imaging were compared between the experimental and control group. In the experimental group, tissue compartment volumes and thickness were compared between in-vivo and ex-vivo data before and after non-rigid registration. The effectiveness of the alignment was assessed quantitatively using the DICE similarity coefficient. LV cavity volume changed more in the control group (ratio of cavity volume between ex-vivo and in-vivo imaging in control and experimental group 0.14 vs 0.56, p < 0.0001) and there was a significantly greater change in the short axis dimensions in the control group (ratio of short axis dimensions in control and experimental group 0.38 vs 0.79, p < 0.001). In the experimental group, prior to non-rigid co-registration the LV cavity contracted isotropically in the ex-vivo condition by less than 20% in each dimension. There was a significant proportional change in tissue thickness in the healthy myocardium (change = 29 ± 21%), but not in dense scar (change = - 2 ± 2%, p = 0.034). Following the non-rigid co-registration step of the process, the DICE similarity coefficients for the myocardium, LV cavity and scar were 0.93 (±0.02), 0.89 (±0.01) and 0.77 (±0.07) respectively and the myocardial tissue and LV cavity volumes had a ratio of 1.03 and 1.00 respectively. The pattern of the morphological changes seen between the in-vivo and the ex-vivo LV differs between scar and healthy myocardium. A 3D printed flexible scaffold based on the in-vivo shape of the LV cavity is an effective strategy to minimize morphological changes in the ex-vivo LV. The subsequent non-rigid registration step further improved the co-registration and local comparison between in-vivo and ex-vivo data.

Sections du résumé

BACKGROUND
Ex-vivo cardiovascular magnetic resonance (CMR) imaging has played an important role in the validation of in-vivo CMR characterization of pathological processes. However, comparison between in-vivo and ex-vivo imaging remains challenging due to shape changes occurring between the two states, which may be non-uniform across the diseased heart. A novel two-step process to facilitate registration between ex-vivo and in-vivo CMR was developed and evaluated in a porcine model of chronic myocardial infarction (MI).
METHODS
Seven weeks after ischemia-reperfusion MI, 12 swine underwent in-vivo CMR imaging with late gadolinium enhancement followed by ex-vivo CMR 1 week later. Five animals comprised the control group, in which ex-vivo imaging was undertaken without any support in the LV cavity, 7 animals comprised the experimental group, in which a two-step registration optimization process was undertaken. The first step involved a heart specific flexible 3D printed scaffold generated from in-vivo CMR, which was used to maintain left ventricular (LV) shape during ex-vivo imaging. In the second step, a non-rigid co-registration algorithm was applied to align in-vivo and ex-vivo data. Tissue dimension changes between in-vivo and ex-vivo imaging were compared between the experimental and control group. In the experimental group, tissue compartment volumes and thickness were compared between in-vivo and ex-vivo data before and after non-rigid registration. The effectiveness of the alignment was assessed quantitatively using the DICE similarity coefficient.
RESULTS
LV cavity volume changed more in the control group (ratio of cavity volume between ex-vivo and in-vivo imaging in control and experimental group 0.14 vs 0.56, p < 0.0001) and there was a significantly greater change in the short axis dimensions in the control group (ratio of short axis dimensions in control and experimental group 0.38 vs 0.79, p < 0.001). In the experimental group, prior to non-rigid co-registration the LV cavity contracted isotropically in the ex-vivo condition by less than 20% in each dimension. There was a significant proportional change in tissue thickness in the healthy myocardium (change = 29 ± 21%), but not in dense scar (change = - 2 ± 2%, p = 0.034). Following the non-rigid co-registration step of the process, the DICE similarity coefficients for the myocardium, LV cavity and scar were 0.93 (±0.02), 0.89 (±0.01) and 0.77 (±0.07) respectively and the myocardial tissue and LV cavity volumes had a ratio of 1.03 and 1.00 respectively.
CONCLUSIONS
The pattern of the morphological changes seen between the in-vivo and the ex-vivo LV differs between scar and healthy myocardium. A 3D printed flexible scaffold based on the in-vivo shape of the LV cavity is an effective strategy to minimize morphological changes in the ex-vivo LV. The subsequent non-rigid registration step further improved the co-registration and local comparison between in-vivo and ex-vivo data.

Identifiants

pubmed: 31597563
doi: 10.1186/s12968-019-0574-z
pii: 10.1186/s12968-019-0574-z
pmc: PMC6785908
doi:

Types de publication

Comparative Study Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

62

Subventions

Organisme : British Heart Foundation
ID : FS/18/27/33543
Pays : United Kingdom
Organisme : Wellcome Trust (GB)
ID : WT 203148/Z/16/Z
Pays : International
Organisme : Department of Health
Pays : United Kingdom
Organisme : NHLBI NIH HHS
ID : R01 HL129185
Pays : United States
Organisme : Medical Research Council
ID : MR/N001877/1
Pays : United Kingdom
Organisme : Medical Research Council (GB)
ID : MR/N001877/1
Pays : International

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Auteurs

John Whitaker (J)

School of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK. john.whitaker@kcl.ac.uk.

Radhouene Neji (R)

School of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.
Siemens Healthcare Limited, Frimley, UK.

Nicholas Byrne (N)

School of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.
Medical Physics, Guy's and St. Thomas' NHS Foundation Trust, London, UK.

Esther Puyol-Antón (E)

School of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.

Rahul K Mukherjee (RK)

School of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.

Steven E Williams (SE)

School of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.

Henry Chubb (H)

School of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.

Louisa O'Neill (L)

School of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.

Orod Razeghi (O)

School of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.

Adam Connolly (A)

School of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.

Kawal Rhode (K)

School of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.

Steven Niederer (S)

School of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.

Andrew King (A)

School of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.

Cory Tschabrunn (C)

Cardiology Department, University of Pennsylvania, Philadelphia, PA, USA.

Elad Anter (E)

Cardiology Department, Beth Israel Deaconess Medical Centre / Harvard Medical School, Boston, MA, USA.

Reza Nezafat (R)

Cardiology Department, Beth Israel Deaconess Medical Centre / Harvard Medical School, Boston, MA, USA.

Martin J Bishop (MJ)

School of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.

Mark O'Neill (M)

School of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.

Reza Razavi (R)

School of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.

Sébastien Roujol (S)

School of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.

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