Magnetic resonance temperature imaging for guidance of thermotherapy

Quesson, Bruno; Zwart, Jacco A. de; Moonen, Chrit

doi:10.1002/1522-2586(200010)12:4<525::aid-jmri3>3.0.co;2-v

Cited by 484 publications

(429 citation statements)

References 69 publications

(55 reference statements)

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“…Grey levels on anatomical images are proportional to the magnitude value whereas phase value relates to the proton resonance frequency. The most widely used MR temperature mapping is based on temperature dependence of the water Proton Resonance Frequency (PRF) [2]. The temperature map at instant n (noted ΔTn) can be obtained online by analyzing signal variation between the current phase image ϕn and a reference phase image ϕ ref acquired before the hyperthermia (typically the first of the temporal series) as follows:…”

Section: Introductionmentioning

confidence: 99%

An optimised multi-baseline approach for on-line MR-temperature monitoring on commodity graphics hardware

Noe

Ries

Pedersen³

et al. 2008

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro

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Magnetic Resonance Imaging (MRI) can be used for non invasive temperature mapping and is therefore a promising tool to monitor and control interventional therapies based on thermal ablation. The Proton Resonance Frequency shift MRI technique gives an estimate of the temperature by comparing phase changes between dynamically acquired images. These temperature measurements are prone to motion induced errors however, particularly in abdominal organs due to breathing.Several computational approaches have been proposed previously to correct for these motion related errors on the measured temperature. They have required significant time to compute however, and have not been sufficiently fast for several real-time temperature mapping applications. This paper proposes to use modern graphics cards (GPUs) to assess on-line motion corrected thermal maps. The computation times obtained on the GPU are compared to an existing CPU reference implementation. An acceleration factor close to 7 was obtained for the processing of one slice (resolution 128 × 128 pixels), and higher than 21 for 12 slices, allowing a real-time implementation.

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Section: Introductionmentioning

confidence: 99%

An optimised multi-baseline approach for on-line MR-temperature monitoring on commodity graphics hardware

Noe

Ries

Pedersen³

et al. 2008

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro

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“…Reviews on temperature mapping can be found elsewhere (5,14,15). The dynamic duration of this protocol thus determines the feedback cycle time t F .…”

Section: Step 1: Calculation Of the Required Energy Distributionmentioning

confidence: 99%

Three‐dimensional spatial and temporal temperature control with MR thermometry‐guided focused ultrasound (MRgHIFU)

Mougenot

Quesson

Senneville

et al. 2008

Magnetic Resonance in Med

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120

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High-intensity focused ultrasound (HIFU) is an efficient noninvasive technique for local heating. Using MRI thermal maps, a proportional, integral, and derivative (PID) automatic temperature control was previously applied at the focal point, or at several points within a plane perpendicular to the beam axis using a multispiral focal point trajectory. This study presents a flexible and rapid method to extend the spatial PID temperature control to three dimensions during each MR dynamic. The temperature in the complete volume is regulated by taking into account the overlap effect of nearby sonication points, which tends to enlarge the heated area along the beam axis. Volumetric temperature control in vitro in gel and in vivo in rabbit leg muscle was shown to provide temperature control with a precision close to that of the temperature MRI measurements. High-intensity focused ultrasound (HIFU) is an efficient noninvasive technique to produce local heating deep inside the human body (1,2). MRI provides excellent visualization of anatomical structures and tumors for treatment planning (3). In addition, MRI can provide continuous temperature mapping based on the proton resonance frequency (PRF) shift of water with a good spatial and temporal resolution (4,5) for real-time therapy control. New MRI developments in high-field, rapid imaging and magnet field stability have contributed to the performance of MRI temperature mapping. In parallel, major improvement in ultrasound technology have been made in the field of phased-array MR-compatible transducers (6). These recent developments offer the possibility to treat several points simultaneously and in a minimal amount of time.Automatic control of the temperature (7) or the thermal dose effect (8) during HIFU heating has been shown to be feasible. Using rapid temperature MRI methods and realtime data processing, an automatic proportional, integral, and derivative (PID) temperature feedback loop has been presented to control the temperature in a single point, the HIFU focal spot (9). This temperature control method has been extended to several points (10) using a multispiral trajectory of the HIFU focal point within a single plane perpendicular to the beam axis. In the latter method, the energy deposition during the next multispiral trajectory is calculated upon completion of the previous one. The resulting volume treated in three dimensions is deduced from numerical simulations. The focal point trajectory remains in a plane perpendicular to the beam axis since the overlap of the acoustic field for each focal point location presents difficulties for volumetric temperature control along the beam axis.Here, a novel method is proposed for volumetric temperature regulation with temperature control for each voxel of the predefined volume by taking into account beam overlap for the different sonication points. The optimum focal point locations and HIFU intensities are determined following each volumetric temperature map, leading to a rapid and flexible method. The new method was ...

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“…203 Magnetic resonance imaging relies on the relaxation properties of excited hydrogen nuclei in tissue water. The object to be examined is positioned in a static external magnetic fi eld, whereupon the spins of the protons align in one of two opposite directions: parallel or antiparallel.…”

Section: Operationmentioning

confidence: 99%

Thermal Therapy, Part IV: Electromagnetic and Thermal Dosimetry

Habash

Bansal

Krewski

et al. 2007

Crit Rev Biomed Eng

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ABSTRACT:In this article some of the important techniques in electromagnetic (EM) and thermal dosimetry are reviewed. Three major areas are discussed: modeling power deposition and estimation of EM energy absorbed by tissues exposed to EM radiation, electrical-thermal modeling for thermal therapy with various models of heat transfer in living tissues, and thermal dosimetry using invasive and noninvasive thermometry. Knowledge about the temperature distributions achieved can only be obtained by treatment planning of patient therapy. This process is called thermal therapy planning system (TTPS), which is a large and complex system for design, control, documentation, and evaluation of the treatment that also provides data for treatment optimization. Various imaging techniques for guidance and monitoring necessary for clinical treatments are also discussed. The review concludes by suggesting future avenues for investigations.

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Magnetic resonance temperature imaging for guidance of thermotherapy

Cited by 484 publications

References 69 publications

An optimised multi-baseline approach for on-line MR-temperature monitoring on commodity graphics hardware

An optimised multi-baseline approach for on-line MR-temperature monitoring on commodity graphics hardware

Three‐dimensional spatial and temporal temperature control with MR thermometry‐guided focused ultrasound (MRgHIFU)

Thermal Therapy, Part IV: Electromagnetic and Thermal Dosimetry

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