Primitive Simultaneous Optimization of Similarity Metrics for Image Registration

Diana Waldmannstetter; Benedikt Wiestler; Julian Schwarting; Ivan Ezhov; Marie Metz; Spyridon Bakas; Bhakti Baheti; Satrajit Chakrabarty; Daniel Rueckert; Jan S. Kirschke; Rolf A. Heckemann; Marie Piraud; Bjoern H. Menze; Florian Kofler

doi:10.1007/978-3-031-76160-7_6

Primitive Simultaneous Optimization of Similarity Metrics for Image Registration

Diana Waldmannstetter
, Benedikt Wiestler
, Julian Schwarting
, Ivan Ezhov
, Marie Metz
, Spyridon Bakas
, Bhakti Baheti
, Satrajit Chakrabarty
, Daniel Rueckert
, Jan S. Kirschke
, Rolf A. Heckemann
, Marie Piraud
, Bjoern H. Menze
, Florian Kofler

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

Abstract

Even though simultaneous optimization of similarity metrics is a standard procedure in the field of semantic segmentation, surprisingly, this is much less established for image registration. To help closing this gap in the literature, we investigate in a complex multi-modal 3D setting whether simultaneous optimization of registration metrics, here implemented by means of primitive summation, can benefit image registration. We evaluate two challenging datasets containing collections of pre- to post-operative and pre- to intra-operative Magnetic Resonance (MR) images of glioma. Employing the proposed optimization, we demonstrate improved registration accuracy in terms of Target Registration Error (TRE) o on expert neuroradiologists’ landmark annotations.

Original language	English
Title of host publication	Brainlesion
Subtitle of host publication	Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 9th International Workshop, BrainLes 2023, and 3rd International Workshop, SWITCH 2023, Held in Conjunction with MICCAI 2023, Revised Selected Papers
Editors	Ujjwal Baid, Reuben Dorent, Sylwia Malec, Monika Pytlarz, Ruisheng Su, Navodini Wijethilake, Spyridon Bakas, Alessandro Crimi
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	57-68
Number of pages	12
ISBN (Print)	9783031761591
DOIs	https://doi.org/10.1007/978-3-031-76160-7_6
State	Published - 2024
Event	9th International Workshop on Brain Lesion workshop, BrainLes 2023 and 3rd Stroke Workshop on Imaging and Treatment CHallenges, SWITCH 2023 Held in Conjunction with 26th Medical Image Computing and Computer Assisted Intervention, MICCAI 2023 - Vancouver, Canada Duration: 8 Oct 2023 → 12 Oct 2023

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14668 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th International Workshop on Brain Lesion workshop, BrainLes 2023 and 3rd Stroke Workshop on Imaging and Treatment CHallenges, SWITCH 2023 Held in Conjunction with 26th Medical Image Computing and Computer Assisted Intervention, MICCAI 2023
Country/Territory	Canada
City	Vancouver
Period	8/10/23 → 12/10/23

Keywords

Brain Tumor
Glioma
Loss Function
Registration
Similarity Metric

Access to Document

10.1007/978-3-031-76160-7_6

Cite this

Waldmannstetter, D., Wiestler, B., Schwarting, J., Ezhov, I., Metz, M., Bakas, S., Baheti, B., Chakrabarty, S., Rueckert, D., Kirschke, J. S., Heckemann, R. A., Piraud, M., Menze, B. H., & Kofler, F. (2024). Primitive Simultaneous Optimization of Similarity Metrics for Image Registration. In U. Baid, R. Dorent, S. Malec, M. Pytlarz, R. Su, N. Wijethilake, S. Bakas, & A. Crimi (Eds.), Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 9th International Workshop, BrainLes 2023, and 3rd International Workshop, SWITCH 2023, Held in Conjunction with MICCAI 2023, Revised Selected Papers (pp. 57-68). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14668 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-76160-7_6

Waldmannstetter, Diana ; Wiestler, Benedikt ; Schwarting, Julian et al. / Primitive Simultaneous Optimization of Similarity Metrics for Image Registration. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 9th International Workshop, BrainLes 2023, and 3rd International Workshop, SWITCH 2023, Held in Conjunction with MICCAI 2023, Revised Selected Papers. editor / Ujjwal Baid ; Reuben Dorent ; Sylwia Malec ; Monika Pytlarz ; Ruisheng Su ; Navodini Wijethilake ; Spyridon Bakas ; Alessandro Crimi. Springer Science and Business Media Deutschland GmbH, 2024. pp. 57-68 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Even though simultaneous optimization of similarity metrics is a standard procedure in the field of semantic segmentation, surprisingly, this is much less established for image registration. To help closing this gap in the literature, we investigate in a complex multi-modal 3D setting whether simultaneous optimization of registration metrics, here implemented by means of primitive summation, can benefit image registration. We evaluate two challenging datasets containing collections of pre- to post-operative and pre- to intra-operative Magnetic Resonance (MR) images of glioma. Employing the proposed optimization, we demonstrate improved registration accuracy in terms of Target Registration Error (TRE) o on expert neuroradiologists{\textquoteright} landmark annotations.",

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note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; 9th International Workshop on Brain Lesion workshop, BrainLes 2023 and 3rd Stroke Workshop on Imaging and Treatment CHallenges, SWITCH 2023 Held in Conjunction with 26th Medical Image Computing and Computer Assisted Intervention, MICCAI 2023 ; Conference date: 08-10-2023 Through 12-10-2023",

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publisher = "Springer Science and Business Media Deutschland GmbH",

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editor = "Ujjwal Baid and Reuben Dorent and Sylwia Malec and Monika Pytlarz and Ruisheng Su and Navodini Wijethilake and Spyridon Bakas and Alessandro Crimi",

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Waldmannstetter, D, Wiestler, B, Schwarting, J, Ezhov, I, Metz, M, Bakas, S, Baheti, B, Chakrabarty, S, Rueckert, D , Kirschke, JS, Heckemann, RA, Piraud, M, Menze, BH & Kofler, F 2024, Primitive Simultaneous Optimization of Similarity Metrics for Image Registration. in U Baid, R Dorent, S Malec, M Pytlarz, R Su, N Wijethilake, S Bakas & A Crimi (eds), Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 9th International Workshop, BrainLes 2023, and 3rd International Workshop, SWITCH 2023, Held in Conjunction with MICCAI 2023, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14668 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 57-68, 9th International Workshop on Brain Lesion workshop, BrainLes 2023 and 3rd Stroke Workshop on Imaging and Treatment CHallenges, SWITCH 2023 Held in Conjunction with 26th Medical Image Computing and Computer Assisted Intervention, MICCAI 2023, Vancouver, Canada, 8/10/23. https://doi.org/10.1007/978-3-031-76160-7_6

Primitive Simultaneous Optimization of Similarity Metrics for Image Registration. / Waldmannstetter, Diana; Wiestler, Benedikt; Schwarting, Julian et al.
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 9th International Workshop, BrainLes 2023, and 3rd International Workshop, SWITCH 2023, Held in Conjunction with MICCAI 2023, Revised Selected Papers. ed. / Ujjwal Baid; Reuben Dorent; Sylwia Malec; Monika Pytlarz; Ruisheng Su; Navodini Wijethilake; Spyridon Bakas; Alessandro Crimi. Springer Science and Business Media Deutschland GmbH, 2024. p. 57-68 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14668 LNCS).

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

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T1 - Primitive Simultaneous Optimization of Similarity Metrics for Image Registration

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AU - Wiestler, Benedikt

AU - Schwarting, Julian

AU - Ezhov, Ivan

AU - Metz, Marie

AU - Bakas, Spyridon

AU - Baheti, Bhakti

AU - Chakrabarty, Satrajit

AU - Rueckert, Daniel

AU - Kirschke, Jan S.

AU - Heckemann, Rolf A.

AU - Piraud, Marie

AU - Menze, Bjoern H.

AU - Kofler, Florian

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024

Y1 - 2024

N2 - Even though simultaneous optimization of similarity metrics is a standard procedure in the field of semantic segmentation, surprisingly, this is much less established for image registration. To help closing this gap in the literature, we investigate in a complex multi-modal 3D setting whether simultaneous optimization of registration metrics, here implemented by means of primitive summation, can benefit image registration. We evaluate two challenging datasets containing collections of pre- to post-operative and pre- to intra-operative Magnetic Resonance (MR) images of glioma. Employing the proposed optimization, we demonstrate improved registration accuracy in terms of Target Registration Error (TRE) o on expert neuroradiologists’ landmark annotations.

AB - Even though simultaneous optimization of similarity metrics is a standard procedure in the field of semantic segmentation, surprisingly, this is much less established for image registration. To help closing this gap in the literature, we investigate in a complex multi-modal 3D setting whether simultaneous optimization of registration metrics, here implemented by means of primitive summation, can benefit image registration. We evaluate two challenging datasets containing collections of pre- to post-operative and pre- to intra-operative Magnetic Resonance (MR) images of glioma. Employing the proposed optimization, we demonstrate improved registration accuracy in terms of Target Registration Error (TRE) o on expert neuroradiologists’ landmark annotations.

KW - Brain Tumor

KW - Glioma

KW - Loss Function

KW - Registration

KW - Similarity Metric

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DO - 10.1007/978-3-031-76160-7_6

M3 - Conference contribution

AN - SCOPUS:85215800146

SN - 9783031761591

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

SP - 57

EP - 68

BT - Brainlesion

A2 - Baid, Ujjwal

A2 - Dorent, Reuben

A2 - Malec, Sylwia

A2 - Pytlarz, Monika

A2 - Su, Ruisheng

A2 - Wijethilake, Navodini

A2 - Bakas, Spyridon

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PB - Springer Science and Business Media Deutschland GmbH

T2 - 9th International Workshop on Brain Lesion workshop, BrainLes 2023 and 3rd Stroke Workshop on Imaging and Treatment CHallenges, SWITCH 2023 Held in Conjunction with 26th Medical Image Computing and Computer Assisted Intervention, MICCAI 2023

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ER -

Waldmannstetter D, Wiestler B, Schwarting J, Ezhov I, Metz M, Bakas S et al. Primitive Simultaneous Optimization of Similarity Metrics for Image Registration. In Baid U, Dorent R, Malec S, Pytlarz M, Su R, Wijethilake N, Bakas S, Crimi A, editors, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 9th International Workshop, BrainLes 2023, and 3rd International Workshop, SWITCH 2023, Held in Conjunction with MICCAI 2023, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2024. p. 57-68. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-76160-7_6