Fast conductivity imaging in magnetic resonance electrical impedance tomography (MREIT) for RF ablation monitoring

Kwon, Oh In; Chauhan, Munish; Kim, Hyung Joong; Jeong, Woo Chul; Wi, Hun; Oh, Tong In; Woo, Eung Je

doi:10.3109/02656736.2014.966337

Cited by 13 publications

(15 citation statements)

References 45 publications

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“…investigated the changes of kidney and fat during heating within a temperature range between 48 and 75°C at 460 kHz. Two separate components, a reversible temperature-dependent component and an irreversible component, were identified (51); this observation was confirmed by a recent study based on MR impedance tomography (52). Similarly, Zurbuchen et al .…”

Section: Temperature Dependence Of Electrical Propertiessupporting

confidence: 62%

“…and Kwon et al . demonstrate similar irreversible changes at RF frequencies above ~60 °C (51, 52); Macchi showed conductivity dependence on rate of heating in addition to temperature (46). These time- and temperature-dependent changes have been modeled by an Arrhenius relationship in several studies (46, 51, 55), which may be preferred in some applications to a simple dependence on temperature alone.…”

Section: Temperature Dependence Of Electrical Propertiesmentioning

confidence: 86%

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Review of Temperature Dependence of Thermal Properties, Dielectric Properties, and Perfusion of Biological Tissues at Hyperthermic and Ablation Temperatures

Rossmanna

Haemmerich

2014

Crit Rev Biomed Eng

288

211

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The application of supraphysiological temperatures (>40°C) to biological tissues causes changes at the molecular, cellular, and structural level, with corresponding changes in tissue function and in thermal, mechanical and dielectric tissue properties. This is particularly relevant for image-guided thermal treatments (e.g. hyperthermia and thermal ablation) delivering heat via focused ultrasound (FUS), radiofrequency (RF), microwave (MW), or laser energy; temperature induced changes in tissue properties are of relevance in relation to predicting tissue temperature profile, monitoring during treatment, and evaluation of treatment results. This paper presents a literature survey of temperature dependence of electrical (electrical conductivity, resistivity, permittivity) and thermal tissue properties (thermal conductivity, specific heat, diffusivity). Data of soft tissues (liver, prostate, muscle, kidney, uterus, collagen, myocardium and spleen) for temperatures between 5 to 90°C, and dielectric properties in the frequency range between 460 kHz and 3 GHz are reported. Furthermore, perfusion changes in tumors including carcinomas, sarcomas, rhabdomyosarcoma, adenocarcinoma and ependymoblastoma in response to hyperthmic temperatures up to 46°C are presented. Where appropriate, mathematical models to describe temperature dependence of properties are presented. The presented data is valuable for mathematical models that predict tissue temperature during thermal therapies (e.g. hyperthermia or thermal ablation), as well as for applications related to prediction and monitoring of temperature induced tissue changes.

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Section: Temperature Dependence Of Electrical Propertiessupporting

confidence: 62%

Section: Temperature Dependence Of Electrical Propertiesmentioning

confidence: 86%

Review of Temperature Dependence of Thermal Properties, Dielectric Properties, and Perfusion of Biological Tissues at Hyperthermic and Ablation Temperatures

Rossmanna

Haemmerich

2014

Crit Rev Biomed Eng

288

211

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“…The rDESS pulse sequence was introduced for thermometry application by exploiting the fact that temperature‐induced phase sensitivity in SSFP‐FID rises with increasing TE while that in SSFP‐ECHO behaves in the opposite direction. It was also shown in that RF‐induced heating is correlated to variation in electrical conductivity of background tissues. Interestingly, the proposed method provides a highly efficient framework that can jointly produce both temperature and electrical conductivity maps in a single measurement.…”

Section: Discussionmentioning

confidence: 89%

Current‐induced alternating reversed dual‐echo‐steady‐state for joint estimation of tissue relaxation and electrical properties

Lee

Sohn

Park

2016

Magnetic Resonance in Med

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“…However, there was a few validation studies on living tissues. [17][18][19][20] In the current study, we experimentally imaged in vivo current density distribution of canine brains by applying MREIT to electrical stimulation. Using a projected current density method, 21,22 we reconstructed highly resolved current density maps from measured magnetic flux density data.…”

Section: Deep Brain Stimulation (Dbs)mentioning

confidence: 99%

In vivo mapping of current density distribution in brain tissues during deep brain stimulation (DBS)

Sajib

Kim

et al. 2017

AIP Advances

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New methods for in vivo mapping of brain responses during deep brain stimulation (DBS) are indispensable to secure clinical applications. Assessment of current density distribution, induced by internally injected currents, may provide an alternative method for understanding the therapeutic effects of electrical stimulation. The current flow and pathway are affected by internal conductivity, and can be imaged using magnetic resonance-based conductivity imaging methods. Magnetic resonance electrical impedance tomography (MREIT) is an imaging method that can enable highly resolved mapping of electromagnetic tissue properties such as current density and conductivity of living tissues. In the current study, we experimentally imaged current density distribution of in vivo canine brains by applying MREIT to electrical stimulation. The current density maps of three canine brains were calculated from the measured magnetic flux density data. The absolute current density values of brain tissues, including gray matter, white matter, and cerebrospinal fluid were compared to assess the active regions during DBS. The resulting current density in different tissue types may provide useful information about current pathways and volume activation for adjusting surgical planning and understanding the therapeutic effects of DBS.

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Fast conductivity imaging in magnetic resonance electrical impedance tomography (MREIT) for RF ablation monitoring

Cited by 13 publications

References 45 publications

Review of Temperature Dependence of Thermal Properties, Dielectric Properties, and Perfusion of Biological Tissues at Hyperthermic and Ablation Temperatures

Review of Temperature Dependence of Thermal Properties, Dielectric Properties, and Perfusion of Biological Tissues at Hyperthermic and Ablation Temperatures

Current‐induced alternating reversed dual‐echo‐steady‐state for joint estimation of tissue relaxation and electrical properties

In vivo mapping of current density distribution in brain tissues during deep brain stimulation (DBS)

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