Full-wave intravascular ultrasound simulation from histology

Silvan Kraft; Sailesh Conjeti; Peter B. Noël; Stéphane Carlier; Nassir Navab; Amin Katouzian

doi:10.1007/978-3-319-10470-6_78

Full-wave intravascular ultrasound simulation from histology

Silvan Kraft, Sailesh Conjeti, Peter B. Noël, Stéphane Carlier, Nassir Navab, Amin Katouzian

Informatics 16 - Chair of Computer Aided Medical Procedures

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

3 Scopus citations

Abstract

In this paper, we introduce a framework for simulating intravascular ultrasound (IVUS) images and radiofrequency (RF) signals from histology image counterparts. We modeled the wave propagation through the Westervelt equation, which is solved explicitly with a finite differences scheme in polar coordinates by taking into account attenuation and non-linear effects. Our results demonstrate good correlation for textural and spectral information driven from simulated IVUS data in contrast to real data, acquired with single-element mechanically rotating 40 MHz transducer, as ground truth.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings
Publisher	Springer Verlag
Pages	627-634
Number of pages	8
Edition	PART 2
ISBN (Print)	9783319104690
DOIs	https://doi.org/10.1007/978-3-319-10470-6_78
State	Published - 2014
Event	17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - Boston, MA, United States Duration: 14 Sep 2014 → 18 Sep 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	8674 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014
Country/Territory	United States
City	Boston, MA
Period	14/09/14 → 18/09/14

Access to Document

10.1007/978-3-319-10470-6_78

Cite this

Kraft, S., Conjeti, S., Noël, P. B., Carlier, S., Navab, N., & Katouzian, A. (2014). Full-wave intravascular ultrasound simulation from histology. In Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings (PART 2 ed., pp. 627-634). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8674 LNCS, No. PART 2). Springer Verlag. https://doi.org/10.1007/978-3-319-10470-6_78

Kraft, Silvan ; Conjeti, Sailesh ; Noël, Peter B. et al. / Full-wave intravascular ultrasound simulation from histology. Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings. PART 2. ed. Springer Verlag, 2014. pp. 627-634 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

@inproceedings{18c6817bfa414adcad1a844994576acc,

title = "Full-wave intravascular ultrasound simulation from histology",

abstract = "In this paper, we introduce a framework for simulating intravascular ultrasound (IVUS) images and radiofrequency (RF) signals from histology image counterparts. We modeled the wave propagation through the Westervelt equation, which is solved explicitly with a finite differences scheme in polar coordinates by taking into account attenuation and non-linear effects. Our results demonstrate good correlation for textural and spectral information driven from simulated IVUS data in contrast to real data, acquired with single-element mechanically rotating 40 MHz transducer, as ground truth.",

author = "Silvan Kraft and Sailesh Conjeti and No{\"e}l, {Peter B.} and St{\'e}phane Carlier and Nassir Navab and Amin Katouzian",

note = "Funding Information: This work was partially supported by the Bayerische Forschungsstiftung (project RoBildOR) and ACTIVE of the EU 7th Framework Program FP7/ICT-2009-6 under Grant Agreement No. 270460.; 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 ; Conference date: 14-09-2014 Through 18-09-2014",

year = "2014",

doi = "10.1007/978-3-319-10470-6_78",

language = "English",

isbn = "9783319104690",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

number = "PART 2",

pages = "627--634",

booktitle = "Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings",

edition = "PART 2",

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Kraft, S, Conjeti, S, Noël, PB, Carlier, S, Navab, N & Katouzian, A 2014, Full-wave intravascular ultrasound simulation from histology. in Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 8674 LNCS, Springer Verlag, pp. 627-634, 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, Boston, MA, United States, 14/09/14. https://doi.org/10.1007/978-3-319-10470-6_78

Full-wave intravascular ultrasound simulation from histology. / Kraft, Silvan; Conjeti, Sailesh; Noël, Peter B. et al.
Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings. PART 2. ed. Springer Verlag, 2014. p. 627-634 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8674 LNCS, No. PART 2).

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

TY - GEN

T1 - Full-wave intravascular ultrasound simulation from histology

AU - Kraft, Silvan

AU - Conjeti, Sailesh

AU - Noël, Peter B.

AU - Carlier, Stéphane

AU - Navab, Nassir

AU - Katouzian, Amin

N1 - Funding Information: This work was partially supported by the Bayerische Forschungsstiftung (project RoBildOR) and ACTIVE of the EU 7th Framework Program FP7/ICT-2009-6 under Grant Agreement No. 270460.

PY - 2014

Y1 - 2014

N2 - In this paper, we introduce a framework for simulating intravascular ultrasound (IVUS) images and radiofrequency (RF) signals from histology image counterparts. We modeled the wave propagation through the Westervelt equation, which is solved explicitly with a finite differences scheme in polar coordinates by taking into account attenuation and non-linear effects. Our results demonstrate good correlation for textural and spectral information driven from simulated IVUS data in contrast to real data, acquired with single-element mechanically rotating 40 MHz transducer, as ground truth.

AB - In this paper, we introduce a framework for simulating intravascular ultrasound (IVUS) images and radiofrequency (RF) signals from histology image counterparts. We modeled the wave propagation through the Westervelt equation, which is solved explicitly with a finite differences scheme in polar coordinates by taking into account attenuation and non-linear effects. Our results demonstrate good correlation for textural and spectral information driven from simulated IVUS data in contrast to real data, acquired with single-element mechanically rotating 40 MHz transducer, as ground truth.

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DO - 10.1007/978-3-319-10470-6_78

M3 - Conference contribution

AN - SCOPUS:84906991130

SN - 9783319104690

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 627

EP - 634

BT - Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings

PB - Springer Verlag

T2 - 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014

Y2 - 14 September 2014 through 18 September 2014

ER -

Kraft S, Conjeti S, Noël PB, Carlier S, Navab N, Katouzian A. Full-wave intravascular ultrasound simulation from histology. In Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings. PART 2 ed. Springer Verlag. 2014. p. 627-634. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-319-10470-6_78

Full-wave intravascular ultrasound simulation from histology

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