Self-gated radial MRI for respiratory motion compensation on hybrid PET/MR systems

Robert Grimm; Sebastian Fürst; Isabel Dregely; Christoph Forman; Jana Maria Hutter; Sibylle I. Ziegler; Stephan Nekolla; Berthold Kiefer; Markus Schwaiger; Joachim Hornegger; Tobias Block

doi:10.1007/978-3-642-40760-4_3

Self-gated radial MRI for respiratory motion compensation on hybrid PET/MR systems

Robert Grimm
, Sebastian Fürst
, Isabel Dregely
, Christoph Forman
, Jana Maria Hutter
, Sibylle I. Ziegler
, Stephan Nekolla
, Berthold Kiefer
, Markus Schwaiger
, Joachim Hornegger
, Tobias Block

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

33 Scopus citations

Abstract

Accurate localization and uptake quantification of lesions in the chest and abdomen using PET imaging is challenging due to the respiratory motion during the exam. The advent of hybrid PET/MR systems offers new ways to compensate for respiratory motion without exposing the patient to additional radiation. The use of self-gated reconstructions of a 3D radial stack-of-stars GRE acquisition is proposed to derive a high-resolution MRI motion model. The self-gating signal is used to perform respiratory binning of the simultaneously acquired PET raw data. Matching μ-maps are generated for every bin, and post-reconstruction registration is performed in order to obtain a motion-compensated PET volume from the individual gates. The proposed method is demonstrated in-vivo for three clinical patients. Motion-corrected reconstructions are compared against ungated and gated PET reconstructions. In all cases, motion-induced blurring of lesions in the liver and lung was substantially reduced, without compromising SNR as it is the case for gated reconstructions.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings
Pages	17-24
Number of pages	8
Edition	PART 3
DOIs	https://doi.org/10.1007/978-3-642-40760-4_3
State	Published - 2013
Event	16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013 - Nagoya, Japan Duration: 22 Sep 2013 → 26 Sep 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 3
Volume	8151 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013
Country/Territory	Japan
City	Nagoya
Period	22/09/13 → 26/09/13

Access to Document

10.1007/978-3-642-40760-4_3

Cite this

Grimm, R., Fürst, S., Dregely, I., Forman, C., Hutter, J. M., Ziegler, S. I., Nekolla, S., Kiefer, B., Schwaiger, M., Hornegger, J., & Block, T. (2013). Self-gated radial MRI for respiratory motion compensation on hybrid PET/MR systems. In Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings (PART 3 ed., pp. 17-24). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8151 LNCS, No. PART 3). https://doi.org/10.1007/978-3-642-40760-4_3

Grimm, Robert ; Fürst, Sebastian ; Dregely, Isabel et al. / Self-gated radial MRI for respiratory motion compensation on hybrid PET/MR systems. Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings. PART 3. ed. 2013. pp. 17-24 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).

@inproceedings{c551e91b8c044853bda43d6ddc1af16c,

title = "Self-gated radial MRI for respiratory motion compensation on hybrid PET/MR systems",

abstract = "Accurate localization and uptake quantification of lesions in the chest and abdomen using PET imaging is challenging due to the respiratory motion during the exam. The advent of hybrid PET/MR systems offers new ways to compensate for respiratory motion without exposing the patient to additional radiation. The use of self-gated reconstructions of a 3D radial stack-of-stars GRE acquisition is proposed to derive a high-resolution MRI motion model. The self-gating signal is used to perform respiratory binning of the simultaneously acquired PET raw data. Matching μ-maps are generated for every bin, and post-reconstruction registration is performed in order to obtain a motion-compensated PET volume from the individual gates. The proposed method is demonstrated in-vivo for three clinical patients. Motion-corrected reconstructions are compared against ungated and gated PET reconstructions. In all cases, motion-induced blurring of lesions in the liver and lung was substantially reduced, without compromising SNR as it is the case for gated reconstructions.",

author = "Robert Grimm and Sebastian F{\"u}rst and Isabel Dregely and Christoph Forman and Hutter, \{Jana Maria\} and Ziegler, \{Sibylle I.\} and Stephan Nekolla and Berthold Kiefer and Markus Schwaiger and Joachim Hornegger and Tobias Block",

year = "2013",

doi = "10.1007/978-3-642-40760-4\_3",

language = "English",

isbn = "9783642407598",

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

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booktitle = "Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings",

edition = "PART 3",

note = "16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013 ; Conference date: 22-09-2013 Through 26-09-2013",

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Grimm, R, Fürst, S, Dregely, I, Forman, C, Hutter, JM, Ziegler, SI, Nekolla, S, Kiefer, B, Schwaiger, M, Hornegger, J & Block, T 2013, Self-gated radial MRI for respiratory motion compensation on hybrid PET/MR systems. in Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings. PART 3 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 8151 LNCS, pp. 17-24, 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013, Nagoya, Japan, 22/09/13. https://doi.org/10.1007/978-3-642-40760-4_3

Self-gated radial MRI for respiratory motion compensation on hybrid PET/MR systems. / Grimm, Robert; Fürst, Sebastian; Dregely, Isabel et al.
Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings. PART 3. ed. 2013. p. 17-24 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8151 LNCS, No. PART 3).

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

TY - GEN

T1 - Self-gated radial MRI for respiratory motion compensation on hybrid PET/MR systems

AU - Grimm, Robert

AU - Fürst, Sebastian

AU - Dregely, Isabel

AU - Forman, Christoph

AU - Hutter, Jana Maria

AU - Ziegler, Sibylle I.

AU - Nekolla, Stephan

AU - Kiefer, Berthold

AU - Schwaiger, Markus

AU - Hornegger, Joachim

AU - Block, Tobias

PY - 2013

Y1 - 2013

N2 - Accurate localization and uptake quantification of lesions in the chest and abdomen using PET imaging is challenging due to the respiratory motion during the exam. The advent of hybrid PET/MR systems offers new ways to compensate for respiratory motion without exposing the patient to additional radiation. The use of self-gated reconstructions of a 3D radial stack-of-stars GRE acquisition is proposed to derive a high-resolution MRI motion model. The self-gating signal is used to perform respiratory binning of the simultaneously acquired PET raw data. Matching μ-maps are generated for every bin, and post-reconstruction registration is performed in order to obtain a motion-compensated PET volume from the individual gates. The proposed method is demonstrated in-vivo for three clinical patients. Motion-corrected reconstructions are compared against ungated and gated PET reconstructions. In all cases, motion-induced blurring of lesions in the liver and lung was substantially reduced, without compromising SNR as it is the case for gated reconstructions.

AB - Accurate localization and uptake quantification of lesions in the chest and abdomen using PET imaging is challenging due to the respiratory motion during the exam. The advent of hybrid PET/MR systems offers new ways to compensate for respiratory motion without exposing the patient to additional radiation. The use of self-gated reconstructions of a 3D radial stack-of-stars GRE acquisition is proposed to derive a high-resolution MRI motion model. The self-gating signal is used to perform respiratory binning of the simultaneously acquired PET raw data. Matching μ-maps are generated for every bin, and post-reconstruction registration is performed in order to obtain a motion-compensated PET volume from the individual gates. The proposed method is demonstrated in-vivo for three clinical patients. Motion-corrected reconstructions are compared against ungated and gated PET reconstructions. In all cases, motion-induced blurring of lesions in the liver and lung was substantially reduced, without compromising SNR as it is the case for gated reconstructions.

UR - https://www.scopus.com/pages/publications/84885937092

U2 - 10.1007/978-3-642-40760-4_3

DO - 10.1007/978-3-642-40760-4_3

M3 - Conference contribution

C2 - 24505739

AN - SCOPUS:84885937092

SN - 9783642407598

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

SP - 17

EP - 24

BT - Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings

T2 - 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013

Y2 - 22 September 2013 through 26 September 2013

ER -

Grimm R, Fürst S, Dregely I, Forman C, Hutter JM, Ziegler SI et al. Self-gated radial MRI for respiratory motion compensation on hybrid PET/MR systems. In Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings. PART 3 ed. 2013. p. 17-24. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). doi: 10.1007/978-3-642-40760-4_3

Self-gated radial MRI for respiratory motion compensation on hybrid PET/MR systems

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