Optimizing 4-dimensional magnetic resonance imaging data sampling for respiratory motion analysis of pancreatic tumors

Bjorn Stemkens; Rob H N Tijssen; Baudouin Denis de Senneville; Hanne D Heerkens; Marco van Vulpen; JJW Lagendijk; CAT van den Berg

doi:10.1016/j.ijrobp.2014.10.050

Optimizing 4-dimensional magnetic resonance imaging data sampling for respiratory motion analysis of pancreatic tumors

Bjorn Stemkens, Rob H N Tijssen, Baudouin Denis de Senneville, Hanne D Heerkens, Marco van Vulpen, JJW Lagendijk, CAT van den Berg

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

PURPOSE: To determine the optimum sampling strategy for retrospective reconstruction of 4-dimensional (4D) MR data for nonrigid motion characterization of tumor and organs at risk for radiation therapy purposes.

METHODS AND MATERIALS: For optimization, we compared 2 surrogate signals (external respiratory bellows and internal MRI navigators) and 2 MR sampling strategies (Cartesian and radial) in terms of image quality and robustness. Using the optimized protocol, 6 pancreatic cancer patients were scanned to calculate the 4D motion. Region of interest analysis was performed to characterize the respiratory-induced motion of the tumor and organs at risk simultaneously.

RESULTS: The MRI navigator was found to be a more reliable surrogate for pancreatic motion than the respiratory bellows signal. Radial sampling is most benign for undersampling artifacts and intraview motion. Motion characterization revealed interorgan and interpatient variation, as well as heterogeneity within the tumor.

CONCLUSIONS: A robust 4D-MRI method, based on clinically available protocols, is presented and successfully applied to characterize the abdominal motion in a small number of pancreatic cancer patients.

Original language	English
Pages (from-to)	571-578
Number of pages	8
Journal	International Journal of Radiation Oncology Biology Physics
Volume	91
Issue number	3
DOIs	https://doi.org/10.1016/j.ijrobp.2014.10.050
Publication status	Published - 2015

Keywords

Humans
Imaging, Three-Dimensional
Magnetic Resonance Imaging
Movement
Organs at Risk
Pancreatic Neoplasms
Respiration

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10.1016/j.ijrobp.2014.10.050

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Stemkens, B., Tijssen, R. H. N., Denis de Senneville, B., Heerkens, H. D., van Vulpen, M., Lagendijk, JJW., & van den Berg, CAT. (2015). Optimizing 4-dimensional magnetic resonance imaging data sampling for respiratory motion analysis of pancreatic tumors. International Journal of Radiation Oncology Biology Physics, 91(3), 571-578. https://doi.org/10.1016/j.ijrobp.2014.10.050

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title = "Optimizing 4-dimensional magnetic resonance imaging data sampling for respiratory motion analysis of pancreatic tumors",

abstract = "PURPOSE: To determine the optimum sampling strategy for retrospective reconstruction of 4-dimensional (4D) MR data for nonrigid motion characterization of tumor and organs at risk for radiation therapy purposes.METHODS AND MATERIALS: For optimization, we compared 2 surrogate signals (external respiratory bellows and internal MRI navigators) and 2 MR sampling strategies (Cartesian and radial) in terms of image quality and robustness. Using the optimized protocol, 6 pancreatic cancer patients were scanned to calculate the 4D motion. Region of interest analysis was performed to characterize the respiratory-induced motion of the tumor and organs at risk simultaneously.RESULTS: The MRI navigator was found to be a more reliable surrogate for pancreatic motion than the respiratory bellows signal. Radial sampling is most benign for undersampling artifacts and intraview motion. Motion characterization revealed interorgan and interpatient variation, as well as heterogeneity within the tumor.CONCLUSIONS: A robust 4D-MRI method, based on clinically available protocols, is presented and successfully applied to characterize the abdominal motion in a small number of pancreatic cancer patients.",

keywords = "Humans, Imaging, Three-Dimensional, Magnetic Resonance Imaging, Movement, Organs at Risk, Pancreatic Neoplasms, Respiration",

author = "Bjorn Stemkens and Tijssen, {Rob H N} and {Denis de Senneville}, Baudouin and Heerkens, {Hanne D} and {van Vulpen}, Marco and JJW Lagendijk and {van den Berg}, CAT",

year = "2015",

doi = "10.1016/j.ijrobp.2014.10.050",

language = "English",

volume = "91",

pages = "571--578",

journal = "International Journal of Radiation Oncology Biology Physics",

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}

Stemkens, B, Tijssen, RHN, Denis de Senneville, B, Heerkens, HD, van Vulpen, M, Lagendijk, JJW & van den Berg, CAT 2015, 'Optimizing 4-dimensional magnetic resonance imaging data sampling for respiratory motion analysis of pancreatic tumors', International Journal of Radiation Oncology Biology Physics, vol. 91, no. 3, pp. 571-578. https://doi.org/10.1016/j.ijrobp.2014.10.050

Optimizing 4-dimensional magnetic resonance imaging data sampling for respiratory motion analysis of pancreatic tumors. / Stemkens, Bjorn; Tijssen, Rob H N; Denis de Senneville, Baudouin et al.
In: International Journal of Radiation Oncology Biology Physics, Vol. 91, No. 3, 2015, p. 571-578.

Research output: Contribution to journal › Article › Academic › peer-review

TY - JOUR

T1 - Optimizing 4-dimensional magnetic resonance imaging data sampling for respiratory motion analysis of pancreatic tumors

AU - Stemkens, Bjorn

AU - Tijssen, Rob H N

AU - Denis de Senneville, Baudouin

AU - Heerkens, Hanne D

AU - van Vulpen, Marco

AU - Lagendijk, JJW

AU - van den Berg, CAT

PY - 2015

Y1 - 2015

N2 - PURPOSE: To determine the optimum sampling strategy for retrospective reconstruction of 4-dimensional (4D) MR data for nonrigid motion characterization of tumor and organs at risk for radiation therapy purposes.METHODS AND MATERIALS: For optimization, we compared 2 surrogate signals (external respiratory bellows and internal MRI navigators) and 2 MR sampling strategies (Cartesian and radial) in terms of image quality and robustness. Using the optimized protocol, 6 pancreatic cancer patients were scanned to calculate the 4D motion. Region of interest analysis was performed to characterize the respiratory-induced motion of the tumor and organs at risk simultaneously.RESULTS: The MRI navigator was found to be a more reliable surrogate for pancreatic motion than the respiratory bellows signal. Radial sampling is most benign for undersampling artifacts and intraview motion. Motion characterization revealed interorgan and interpatient variation, as well as heterogeneity within the tumor.CONCLUSIONS: A robust 4D-MRI method, based on clinically available protocols, is presented and successfully applied to characterize the abdominal motion in a small number of pancreatic cancer patients.

AB - PURPOSE: To determine the optimum sampling strategy for retrospective reconstruction of 4-dimensional (4D) MR data for nonrigid motion characterization of tumor and organs at risk for radiation therapy purposes.METHODS AND MATERIALS: For optimization, we compared 2 surrogate signals (external respiratory bellows and internal MRI navigators) and 2 MR sampling strategies (Cartesian and radial) in terms of image quality and robustness. Using the optimized protocol, 6 pancreatic cancer patients were scanned to calculate the 4D motion. Region of interest analysis was performed to characterize the respiratory-induced motion of the tumor and organs at risk simultaneously.RESULTS: The MRI navigator was found to be a more reliable surrogate for pancreatic motion than the respiratory bellows signal. Radial sampling is most benign for undersampling artifacts and intraview motion. Motion characterization revealed interorgan and interpatient variation, as well as heterogeneity within the tumor.CONCLUSIONS: A robust 4D-MRI method, based on clinically available protocols, is presented and successfully applied to characterize the abdominal motion in a small number of pancreatic cancer patients.

KW - Humans

KW - Imaging, Three-Dimensional

KW - Magnetic Resonance Imaging

KW - Movement

KW - Organs at Risk

KW - Pancreatic Neoplasms

KW - Respiration

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DO - 10.1016/j.ijrobp.2014.10.050

M3 - Article

C2 - 25596109

SN - 0360-3016

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SP - 571

EP - 578

JO - International Journal of Radiation Oncology Biology Physics

JF - International Journal of Radiation Oncology Biology Physics

IS - 3

ER -

Optimizing 4-dimensional magnetic resonance imaging data sampling for respiratory motion analysis of pancreatic tumors

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Keywords

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