3D motion strategy for online volumetric thermometry using simultaneous multi-slice EPI at 1.5T: an evaluation study Article Swipe
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· 2023
· Open Access
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· DOI: https://doi.org/10.1080/02656736.2023.2194595
In presence of respiratory motion, temperature mapping is altered by in-plane and through-plane displacements between successive acquisitions together with periodic phase variations. Fast 2D Echo Planar Imaging (EPI) sequence can accommodate intra-scan motion, but limited volume coverage and inter-scan motion remain a challenge during free-breathing acquisition since position offsets can arise between the different slices. To address this limitation, we evaluated a 2D simultaneous multi-slice EPI sequence with multiband (MB) acceleration during radiofrequency ablation on a mobile gel and in the liver of a volunteer (no heating). The sequence was evaluated in terms of resulting inter-scan motion, temperature uncertainty and elevation, potential false-positive heating and repeatability. Lastly, to account for potential through-plane motion, a 3D motion compensation pipeline was implemented and evaluated. In-plane motion was compensated whatever the MB factor and temperature distribution was found in agreement during both the heating and cooling periods. No obvious false-positive temperature was observed under the conditions being investigated. Repeatability of measurements results in a 95% uncertainty below 2 °C for MB1 and MB2. Uncertainty up to 4.5 °C was reported with MB3 together with the presence of aliasing artifacts. Lastly, fast simultaneous multi-slice EPI combined with 3D motion compensation reduce residual out-of-plane motion. Volumetric temperature imaging (12 slices/700 ms) could be performed with 2 °C accuracy or less, and offer tradeoffs in acquisition time or volume coverage. Such a strategy is expected to increase procedure safety by monitoring large volumes more rapidly for MR-guided thermotherapy on mobile organs.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1080/02656736.2023.2194595
- https://www.tandfonline.com/doi/epdf/10.1080/02656736.2023.2194595?needAccess=true&role=button
- OA Status
- gold
- Cited By
- 11
- References
- 47
- Related Works
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- OpenAlex ID
- https://openalex.org/W4366465481
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4366465481Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1080/02656736.2023.2194595Digital Object Identifier
- Title
-
3D motion strategy for online volumetric thermometry using simultaneous multi-slice EPI at 1.5T: an evaluation studyWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-04-20Full publication date if available
- Authors
-
Valéry Ozenne, Pierre Bour, Baudouin Denis de Senneville, Bruno QuessonList of authors in order
- Landing page
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https://doi.org/10.1080/02656736.2023.2194595Publisher landing page
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https://www.tandfonline.com/doi/epdf/10.1080/02656736.2023.2194595?needAccess=true&role=buttonDirect link to full text PDF
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://www.tandfonline.com/doi/epdf/10.1080/02656736.2023.2194595?needAccess=true&role=buttonDirect OA link when available
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Aliasing, Repeatability, Motion compensation, Acceleration, Computer vision, Plane (geometry), Computer science, Materials science, Biomedical engineering, Artificial intelligence, Physics, Mathematics, Filter (signal processing), Engineering, Geometry, Statistics, Classical mechanicsTop concepts (fields/topics) attached by OpenAlex
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11Total citation count in OpenAlex
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2025: 7, 2024: 3, 2023: 1Per-year citation counts (last 5 years)
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47Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.ms) | 205 |
| abstract_inverted_index.the | 52, 80, 127, 139, 151, 181 |
| abstract_inverted_index.was | 89, 118, 124, 133, 148, 175 |
| abstract_inverted_index.°C | 165, 174, 211 |
| abstract_inverted_index.(MB) | 69 |
| abstract_inverted_index.Echo | 24 |
| abstract_inverted_index.Fast | 22 |
| abstract_inverted_index.MB2. | 169 |
| abstract_inverted_index.Such | 224 |
| abstract_inverted_index.both | 138 |
| abstract_inverted_index.fast | 187 |
| abstract_inverted_index.more | 237 |
| abstract_inverted_index.this | 57 |
| abstract_inverted_index.time | 220 |
| abstract_inverted_index.with | 18, 67, 177, 180, 192, 209 |
| abstract_inverted_index.(EPI) | 27 |
| abstract_inverted_index.arise | 50 |
| abstract_inverted_index.being | 153 |
| abstract_inverted_index.below | 163 |
| abstract_inverted_index.could | 206 |
| abstract_inverted_index.found | 134 |
| abstract_inverted_index.large | 235 |
| abstract_inverted_index.less, | 214 |
| abstract_inverted_index.liver | 81 |
| abstract_inverted_index.offer | 216 |
| abstract_inverted_index.phase | 20 |
| abstract_inverted_index.since | 46 |
| abstract_inverted_index.terms | 92 |
| abstract_inverted_index.under | 150 |
| abstract_inverted_index.Planar | 25 |
| abstract_inverted_index.during | 43, 71, 137 |
| abstract_inverted_index.factor | 129 |
| abstract_inverted_index.mobile | 76, 243 |
| abstract_inverted_index.motion | 39, 115, 123, 194 |
| abstract_inverted_index.reduce | 196 |
| abstract_inverted_index.remain | 40 |
| abstract_inverted_index.safety | 232 |
| abstract_inverted_index.volume | 35, 222 |
| abstract_inverted_index.Imaging | 26 |
| abstract_inverted_index.Lastly, | 106, 186 |
| abstract_inverted_index.account | 108 |
| abstract_inverted_index.address | 56 |
| abstract_inverted_index.altered | 8 |
| abstract_inverted_index.between | 14, 51 |
| abstract_inverted_index.cooling | 142 |
| abstract_inverted_index.heating | 103, 140 |
| abstract_inverted_index.imaging | 202 |
| abstract_inverted_index.limited | 34 |
| abstract_inverted_index.mapping | 6 |
| abstract_inverted_index.motion, | 4, 32, 96, 112 |
| abstract_inverted_index.motion. | 199 |
| abstract_inverted_index.obvious | 145 |
| abstract_inverted_index.offsets | 48 |
| abstract_inverted_index.organs. | 244 |
| abstract_inverted_index.rapidly | 238 |
| abstract_inverted_index.results | 158 |
| abstract_inverted_index.slices. | 54 |
| abstract_inverted_index.volumes | 236 |
| abstract_inverted_index.In-plane | 122 |
| abstract_inverted_index.ablation | 73 |
| abstract_inverted_index.accuracy | 212 |
| abstract_inverted_index.aliasing | 184 |
| abstract_inverted_index.combined | 191 |
| abstract_inverted_index.coverage | 36 |
| abstract_inverted_index.expected | 228 |
| abstract_inverted_index.in-plane | 10 |
| abstract_inverted_index.increase | 230 |
| abstract_inverted_index.observed | 149 |
| abstract_inverted_index.periodic | 19 |
| abstract_inverted_index.periods. | 143 |
| abstract_inverted_index.pipeline | 117 |
| abstract_inverted_index.position | 47 |
| abstract_inverted_index.presence | 1, 182 |
| abstract_inverted_index.reported | 176 |
| abstract_inverted_index.residual | 197 |
| abstract_inverted_index.sequence | 28, 66, 88 |
| abstract_inverted_index.strategy | 226 |
| abstract_inverted_index.together | 17, 179 |
| abstract_inverted_index.whatever | 126 |
| abstract_inverted_index.MR-guided | 240 |
| abstract_inverted_index.agreement | 136 |
| abstract_inverted_index.challenge | 42 |
| abstract_inverted_index.coverage. | 223 |
| abstract_inverted_index.different | 53 |
| abstract_inverted_index.evaluated | 60, 90 |
| abstract_inverted_index.heating). | 86 |
| abstract_inverted_index.multiband | 68 |
| abstract_inverted_index.performed | 208 |
| abstract_inverted_index.potential | 101, 110 |
| abstract_inverted_index.procedure | 231 |
| abstract_inverted_index.resulting | 94 |
| abstract_inverted_index.tradeoffs | 217 |
| abstract_inverted_index.volunteer | 84 |
| abstract_inverted_index.Volumetric | 200 |
| abstract_inverted_index.artifacts. | 185 |
| abstract_inverted_index.conditions | 152 |
| abstract_inverted_index.elevation, | 100 |
| abstract_inverted_index.evaluated. | 121 |
| abstract_inverted_index.inter-scan | 38, 95 |
| abstract_inverted_index.intra-scan | 31 |
| abstract_inverted_index.monitoring | 234 |
| abstract_inverted_index.slices/700 | 204 |
| abstract_inverted_index.successive | 15 |
| abstract_inverted_index.Uncertainty | 170 |
| abstract_inverted_index.accommodate | 30 |
| abstract_inverted_index.acquisition | 45, 219 |
| abstract_inverted_index.compensated | 125 |
| abstract_inverted_index.implemented | 119 |
| abstract_inverted_index.limitation, | 58 |
| abstract_inverted_index.multi-slice | 64, 189 |
| abstract_inverted_index.respiratory | 3 |
| abstract_inverted_index.temperature | 5, 97, 131, 147, 201 |
| abstract_inverted_index.uncertainty | 98, 162 |
| abstract_inverted_index.variations. | 21 |
| abstract_inverted_index.acceleration | 70 |
| abstract_inverted_index.acquisitions | 16 |
| abstract_inverted_index.compensation | 116, 195 |
| abstract_inverted_index.distribution | 132 |
| abstract_inverted_index.measurements | 157 |
| abstract_inverted_index.out-of-plane | 198 |
| abstract_inverted_index.simultaneous | 63, 188 |
| abstract_inverted_index.Repeatability | 155 |
| abstract_inverted_index.displacements | 13 |
| abstract_inverted_index.investigated. | 154 |
| abstract_inverted_index.thermotherapy | 241 |
| abstract_inverted_index.through-plane | 12, 111 |
| abstract_inverted_index.false-positive | 102, 146 |
| abstract_inverted_index.free-breathing | 44 |
| abstract_inverted_index.radiofrequency | 72 |
| abstract_inverted_index.repeatability. | 105 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5080147321 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I15057530, https://openalex.org/I154526488, https://openalex.org/I4210086115, https://openalex.org/I4210153807 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.6200000047683716 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.79687304 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |