Measures for the evaluation of bias field removal procedures in MRI and the design of wavelets for suppression of RF inhomogeneities

J M H Karel; K Fischer; R L Westra; R L M Peeters

doi:10.1109/IEMBS.2008.4649841

Measures for the evaluation of bias field removal procedures in MRI and the design of wavelets for suppression of RF inhomogeneities

J M H Karel^*, K Fischer, R L Westra, R L M Peeters

^*Corresponding author for this work

BioMathematics and BioInformatics

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

Abstract

RF inhomogeneities are illumination artifacts in MR images which manifest as a multiplicative bias field. To measure the quality of an MR image with respect to RF inhomogeneities, existing multi-valued criteria are in use. Here we propose a useful conversion of these multi-valued criteria into a single measure of quality which simplifies image quality evaluation and comparison. Next, to remove such a bias field, a novel wavelet based approach is employed, that extends a previous 1D wavelet design methodology to a 2D setting. This method is found to perform well on images with strong small details. The results for brain MR images are subject to improvement, however our results hint to a future scenario for improved image quality.

Original language	English
Title of host publication	30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Publisher	IEEE
Pages	3028-31
Number of pages	4
Volume	2008
ISBN (Electronic)	978-1-4244-1815-2
ISBN (Print)	978-1-4244-1814-5
DOIs	https://doi.org/10.1109/IEMBS.2008.4649841
Publication status	Published - Aug 2008
Event	Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Duration: 1 Jan 2010 → 1 Jan 2010

Conference

Conference	Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Period	1/01/10 → 1/01/10

Keywords

Algorithms
Brain
Computer Simulation
Humans
Image Enhancement
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Models, Statistical
Phantoms, Imaging
Quality Control
Radio Waves
Subtraction Technique

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10.1109/IEMBS.2008.4649841

Cite this

Karel, J. M. H., Fischer, K., Westra, R. L., & Peeters, R. L. M. (2008). Measures for the evaluation of bias field removal procedures in MRI and the design of wavelets for suppression of RF inhomogeneities. In 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (Vol. 2008, pp. 3028-31). IEEE. https://doi.org/10.1109/IEMBS.2008.4649841

@inproceedings{dba6814424464bd78946074463c9ac4f,

title = "Measures for the evaluation of bias field removal procedures in MRI and the design of wavelets for suppression of RF inhomogeneities",

abstract = "RF inhomogeneities are illumination artifacts in MR images which manifest as a multiplicative bias field. To measure the quality of an MR image with respect to RF inhomogeneities, existing multi-valued criteria are in use. Here we propose a useful conversion of these multi-valued criteria into a single measure of quality which simplifies image quality evaluation and comparison. Next, to remove such a bias field, a novel wavelet based approach is employed, that extends a previous 1D wavelet design methodology to a 2D setting. This method is found to perform well on images with strong small details. The results for brain MR images are subject to improvement, however our results hint to a future scenario for improved image quality.",

keywords = "Algorithms, Brain, Computer Simulation, Humans, Image Enhancement, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Models, Statistical, Phantoms, Imaging, Quality Control, Radio Waves, Subtraction Technique",

author = "Karel, {J M H} and K Fischer and Westra, {R L} and Peeters, {R L M}",

year = "2008",

month = aug,

doi = "10.1109/IEMBS.2008.4649841",

language = "English",

isbn = "978-1-4244-1814-5",

volume = "2008",

pages = "3028--31",

booktitle = "30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)",

publisher = "IEEE",

address = "United States",

note = "Annual International Conference of the IEEE Engineering in Medicine and Biology Society ; Conference date: 01-01-2010 Through 01-01-2010",

}

Karel, JMH, Fischer, K, Westra, RL & Peeters, RLM 2008, Measures for the evaluation of bias field removal procedures in MRI and the design of wavelets for suppression of RF inhomogeneities. in 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). vol. 2008, IEEE, pp. 3028-31, Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1/01/10. https://doi.org/10.1109/IEMBS.2008.4649841

Measures for the evaluation of bias field removal procedures in MRI and the design of wavelets for suppression of RF inhomogeneities. / Karel, J M H; Fischer, K; Westra, R L et al.
30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Vol. 2008 IEEE, 2008. p. 3028-31.

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

TY - GEN

T1 - Measures for the evaluation of bias field removal procedures in MRI and the design of wavelets for suppression of RF inhomogeneities

AU - Karel, J M H

AU - Fischer, K

AU - Westra, R L

AU - Peeters, R L M

PY - 2008/8

Y1 - 2008/8

N2 - RF inhomogeneities are illumination artifacts in MR images which manifest as a multiplicative bias field. To measure the quality of an MR image with respect to RF inhomogeneities, existing multi-valued criteria are in use. Here we propose a useful conversion of these multi-valued criteria into a single measure of quality which simplifies image quality evaluation and comparison. Next, to remove such a bias field, a novel wavelet based approach is employed, that extends a previous 1D wavelet design methodology to a 2D setting. This method is found to perform well on images with strong small details. The results for brain MR images are subject to improvement, however our results hint to a future scenario for improved image quality.

AB - RF inhomogeneities are illumination artifacts in MR images which manifest as a multiplicative bias field. To measure the quality of an MR image with respect to RF inhomogeneities, existing multi-valued criteria are in use. Here we propose a useful conversion of these multi-valued criteria into a single measure of quality which simplifies image quality evaluation and comparison. Next, to remove such a bias field, a novel wavelet based approach is employed, that extends a previous 1D wavelet design methodology to a 2D setting. This method is found to perform well on images with strong small details. The results for brain MR images are subject to improvement, however our results hint to a future scenario for improved image quality.

KW - Algorithms

KW - Brain

KW - Computer Simulation

KW - Humans

KW - Image Enhancement

KW - Image Processing, Computer-Assisted

KW - Magnetic Resonance Imaging

KW - Models, Statistical

KW - Phantoms, Imaging

KW - Quality Control

KW - Radio Waves

KW - Subtraction Technique

U2 - 10.1109/IEMBS.2008.4649841

DO - 10.1109/IEMBS.2008.4649841

M3 - Conference article in proceeding

C2 - 19163344

SN - 978-1-4244-1814-5

VL - 2008

SP - 3028

EP - 3031

BT - 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

PB - IEEE

T2 - Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 1 January 2010 through 1 January 2010

ER -

Measures for the evaluation of bias field removal procedures in MRI and the design of wavelets for suppression of RF inhomogeneities

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Keywords

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