Evaluation and Correction of $B_{1}^+$-Based Brain Subject-Specific SAR Maps Using Electrical Properties Tomography Article Swipe

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Jessica Martinez , Alessandro Arduino , O. Bottauscio , Luca Zilberti ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.1109/jerm.2023.3236153

The specific absorption rate (SAR) estimates the amount of power absorbed by the tissue and is determined by the electrical conductivity and the E-field. Conductivity can be estimated using Electric Properties Tomography (EPT) but only the E-field component associated with B-1(+) can be deduced from B-1- mapping. Herein, a correction factor was calculated to compensate for the differences between the actual SAR and the one obtained with B-1(+). Numerical simulations were performed for 27 head mod-els at 128 MHz. Ground-truth local-SAR and 10g-SAR (SAR(GT)) were computed using the exact electrical conductivity and the E-field. Estimated local-SAR and 10g-SAR (SAR(EST)) were com-puted using the electrical conductivity obtained with a convection-reaction EPT and the E-field obtained from B-1(+). Correction factors (CFs) were estimated for gray matter, white matter, and cere-brospinal fluid (CSF). A comparison was performed for different levels of signal-to-noise ratios (SNR). Local-SAR/10g-SAR CF was 3.08 +/- 0/06 / 2.11 +/- 0.04 for gray matter, 1.79 +/- 0/05 / 2.06 +/- 0.04 for white matter, and 2.59 +/- 0/05 / 1.95 +/- 0.03 for CSF. SAR(EST) without CF were underestimated (ratio across [infinity -25] SNRs: 0.52 +/- 0.02 for local-SAR; 0.55 +/- 0.01 for 10g-SAR). After cor-rection, SAREST was equivalent to SAR(GT) (ratio across [infinity -25] SNRs: 0.97 +/- 0.02 for local-SAR; 1.06 +/- 0.01 for 10g-SAR). SAR maps based on B-1(+) can be corrected with a correction factor to compensate for potential differences between the actual SAR and the SAR calculated with the E-field derived from B-1(+).

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Type: article
Language: en
Landing Page: https://doi.org/10.1109/jerm.2023.3236153
PDF: https://ieeexplore.ieee.org/ielx7/7397573/8000303/10044569.pdf
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Cited By: 5
References: 33
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DOI: https://doi.org/10.1109/jerm.2023.3236153

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Title: Evaluation and Correction of $B_{1}^+$-Based Brain Subject-Specific SAR Maps Using Electrical Properties Tomography

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Language: en

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Publication year: 2023

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Publication date: 2023-02-16

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Authors: Jessica Martinez, Alessandro Arduino, O. Bottauscio, Luca Zilberti

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Landing page: https://doi.org/10.1109/jerm.2023.3236153

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Concepts: Notation, Algorithm, Field (mathematics), Mathematics, Computer science, Artificial intelligence, Pure mathematics, Arithmetic

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Cited by: 5

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abstract_inverted_index.were	70, 84, 99, 119, 177
abstract_inverted_index.with	39, 66, 106, 224, 241
abstract_inverted_index.(CFs)	118
abstract_inverted_index.(EPT)	32
abstract_inverted_index.(SAR)	4
abstract_inverted_index.After	194
abstract_inverted_index.SNRs:	183, 205
abstract_inverted_index.based	218
abstract_inverted_index.exact	88
abstract_inverted_index.fluid	128
abstract_inverted_index.power	9
abstract_inverted_index.using	28, 86, 101
abstract_inverted_index.white	124, 162
abstract_inverted_index.(CSF).	129
abstract_inverted_index.(SNR).	140
abstract_inverted_index.(ratio	179, 201
abstract_inverted_index.B-1(+)	40, 220
abstract_inverted_index.SAREST	196
abstract_inverted_index.across	180, 202
abstract_inverted_index.actual	60, 235
abstract_inverted_index.amount	7
abstract_inverted_index.factor	50, 227
abstract_inverted_index.levels	136
abstract_inverted_index.ratios	139
abstract_inverted_index.tissue	13
abstract_inverted_index.10g-SAR	82, 97
abstract_inverted_index.B-1(+).	67, 115, 246
abstract_inverted_index.E-field	36, 112, 243
abstract_inverted_index.Herein,	47
abstract_inverted_index.SAR(GT)	200
abstract_inverted_index.between	58, 233
abstract_inverted_index.deduced	43
abstract_inverted_index.derived	244
abstract_inverted_index.factors	117
abstract_inverted_index.matter,	123, 125, 153, 163
abstract_inverted_index.mod-els	75
abstract_inverted_index.without	175
abstract_inverted_index.E-field.	23, 93
abstract_inverted_index.Electric	29
abstract_inverted_index.SAR(EST)	174
abstract_inverted_index.absorbed	10
abstract_inverted_index.computed	85
abstract_inverted_index.mapping.	46
abstract_inverted_index.obtained	65, 105, 113
abstract_inverted_index.specific	1
abstract_inverted_index.(SAR(GT))	83
abstract_inverted_index.10g-SAR).	193, 215
abstract_inverted_index.Estimated	94
abstract_inverted_index.Numerical	68
abstract_inverted_index.[infinity	181, 203
abstract_inverted_index.com-puted	100
abstract_inverted_index.component	37
abstract_inverted_index.corrected	223
abstract_inverted_index.different	135
abstract_inverted_index.estimated	27, 120
abstract_inverted_index.estimates	5
abstract_inverted_index.local-SAR	80, 95
abstract_inverted_index.performed	71, 133
abstract_inverted_index.potential	231
abstract_inverted_index.(SAR(EST))	98
abstract_inverted_index.Correction	116
abstract_inverted_index.Properties	30
abstract_inverted_index.Tomography	31
abstract_inverted_index.absorption	2
abstract_inverted_index.associated	38
abstract_inverted_index.calculated	52, 240
abstract_inverted_index.comparison	131
abstract_inverted_index.compensate	54, 229
abstract_inverted_index.correction	49, 226
abstract_inverted_index.determined	16
abstract_inverted_index.electrical	19, 89, 103
abstract_inverted_index.equivalent	198
abstract_inverted_index.local-SAR;	188, 210
abstract_inverted_index.differences	57, 232
abstract_inverted_index.simulations	69
abstract_inverted_index.Conductivity	24
abstract_inverted_index.Ground-truth	79
abstract_inverted_index.conductivity	20, 90, 104
abstract_inverted_index.cor-rection,	195
abstract_inverted_index.cere-brospinal	127
abstract_inverted_index.underestimated	178
abstract_inverted_index.signal-to-noise	138
abstract_inverted_index.Local-SAR/10g-SAR	141
abstract_inverted_index.convection-reaction	108
cited_by_percentile_year.max	97
cited_by_percentile_year.min	89
countries_distinct_count	1
institutions_distinct_count	4
citation_normalized_percentile.value	0.70345561
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	False