We propose a new technique to delineate the area below the critical temperature in the frozen tissue during cryoablation using STIR UTE MRI. It relies on the temperature-dependency of the T1 in the frozen tissue. We demonstrated the technique in an ex vivo swine kidney sample using a 3T MRI scanner with a STIR PETRA sequence. To create a uniform temperature gradient, the sample was placed
Theory. The approach relies on studies that showed that tissue T1 is strongly dependent on temperature and Larmor frequency [8]. It was shown that T1 drops sharply as temperature drops below -5 °C (from ~300 to ~90 ms at 1.5T), reaches a minimum at -40 °C, and then gradually grows as temperatures drop further. If the tissue’s T1 at the critical temperature is known, the region below this critical temperature can be delineated with a STIR sequence. In addition, since TE values below 0 °C are <100 ms, STIR must be combined with UTE. The boundary temperature is determined by the effective TI. For STIR UTE with a radial k-space acquisition, such as PETRA, and when a multi-spoke readout is applied after each inversion pulse (to keep the imaging time short), the effective TI is longer than the prescribed TI. Given the spoke’s repetition time TR, the effective TI for the ith spoke after each inversion is:
$$ T_{I Eff} = T_I + T_R \times i \quad (i = 1, 2, …, N), $$
where $$$ N $$$ is the number of spokes per pass. Therefore, the image amplitude (signal at the center of k-space) can be estimated by
$$M_z (T_R, T_1) = \frac{M_{0z}}{N} \times [1 - M_{inv} \sum_{i=1}^{N} \frac{\exp(-\frac{T_{IEffi}}{T_1})}{1+\exp(-\frac{T_{R0}}{T_1})}],$$
where $$$M_{inv}<2$$$, $$$T_{R0}=T_I+ N T_R +T_D$$$ the total time for each pass, and $$$T_D$$$ the delay (equilibration) time allowed after the readout, prior to the following inversion. This contrast produces a broad intensity peak, whose width depends on the longitudinal magnetization recovery that occurs during readout. If the recovery is ~zero, then contrast is primarily determined by the first TI ($$$T_{IEff} \sim T_I$$$ ) .
Ex Vivo Experiment. The proposed method was demonstrated in an ex vivo swine kidney in 3T MRI scanner (Verio 3T, Siemens). To create a uniform temperature gradient, the sample was placed below a block of dry-ice (-78.5°C) and above a warm bath (25°C) (Fig. 1). Reference tissue temperatures were measured at four locations using thermocouples embedded inside carbon-fiber needles. The tissue was scanned continuously using STIR PETRA. To further accentuate frozen-region contrast (create an “ice image”), signal from unfrozen (>0°C) tissue was saturated by using a short TI, TR, and TR0 (TI/TR0/TR/TE1/=200/400/2.1/0.07ms; N=40, 15000 spokes, 128×128 ×128, pixel size 2 mm3, FOV=350mm3, TA=80 s/volume). Dual-echo 3D UTE images were also acquired to estimate the temperature distribution based on R2* (TR/TE1/TE2=4.5/0.07/2.0ms; 1 projection/TR, 160×160×160; pixel size=2 mm3; flip angle=8°; FOV=350 mm3; 15000 spokes, TA=120 s/volume). The pixel-wise R2* values were computed by fitting an exponential decay to the first and second echo, and then converted to temperature [9].
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