RESUMO
A strip-line and waveform sampling based readout is a signal multiplexing method that can efficiently reduce the readout channels while fully exploiting the fast time characteristics of photo-detectors such as the SiPM. We have applied this readout method for SiPM-based time-of-flight (TOF) positron emission tomography (PET) detectors. We have prototyped strip-line boards in which 8 SiPMs (pitch 5.2 mm) are connected by using a single strip-line, and the signals appearing at the ends of the strip-line are acquired by using the DRS4 waveform sampler at a nominal sampling frequency of 1-5 GS/s. Experimental tests using laser and LYSO scintillator are carried out to assess the performance of the strip-line board. Each SiPM position, which is inferred from the arrival time difference of the two signals at the ends of the strip-line, is well identified with 2.6 mm FWHM resolution when the SiPMs are coupled to LYSO crystals and irradiated by a 22Na source. The average energy and coincidence time resolution responding to 511 keV photons are measured to be ~32% and ~510 ps FWHM, respectively, at a 5.0 GS/s DRS4 sampling rate. The results show that the sampling rate can be lowered to 1.5 GS/s without performance degradation. These encouraging initial test results indicate that the strip-line and waveform sampling readout method is applicable for SiPM-based TOF PET development.
RESUMO
We are developing a time-of-flight Positron Emission Tomography (PET) detector by using silicon photo-multipliers (SiPM) on a strip-line and high speed waveform sampling data acquisition. In this design, multiple SiPMs are connected on a single strip-line and signal waveforms on the strip-line are sampled at two ends of the strip to reduce readout channels while fully exploiting the fast time response of SiPMs. In addition to the deposited energy and time information, the position of the hit SiPM along the strip-line is determined by the arrival time difference of the waveform. Due to the insensitivity of the SiPMs to magnetic fields and the compact front-end electronics, the detector approach is highly attractive for developing a PET insert system for a magnetic resonance imaging (MRI) scanner to provide simultaneous PET/MR imaging. To investigate the feasibility, experimental tests using prototype detector modules have been conducted inside a 9.4 Tesla small animal MRI scanner (Bruker BioSpec 94/30 imaging spectrometer). On the prototype strip-line board, 16 SiPMs (5.2 mm pitch) are installed on two strip-lines and coupled to 2 × 8 LYSO scintillators (5.0 × 5.0 × 10.0 mm3 with 5.2 mm pitch). The outputs of the strip-line boards are connected to a Domino-Ring-Sampler (DRS4) evaluation board for waveform sampling. Preliminary experimental results show that the effect of interference on the MRI image due to the PET detector is negligible and that PET detector performance is comparable with the results measured outside the MRI scanner.
RESUMO
We have developed a new time calibration method for the DRS4 waveform sampler that enables us to precisely measure the non-uniform sampling interval inherent in the switched-capacitor cells of the DRS4. The method uses the proportionality between the differential amplitude and sampling interval of adjacent switched-capacitor cells responding to a sawtooth-shape pulse. In the experiment, a sawtooth-shape pulse with a 40 ns period generated by a Tektronix AWG7102 is fed to a DRS4 evaluation board for calibrating the sampling intervals of all 1024 cells individually. The electronic time resolution of the DRS4 evaluation board with the new time calibration is measured to be ~2.4 ps RMS by using two simultaneous Gaussian pulses with 2.35 ns full-width at half-maximum and applying a Gaussian fit. The time resolution dependencies on the time difference with the new time calibration are measured and compared to results obtained by another method. The new method could be applicable for other switched-capacitor-array technology-based waveform samplers for precise time calibration.
RESUMO
PURPOSE: Precise tumor delineation is important in thoracic radiation therapy planning, and using a 'lung detail' computed tomography (CT) reconstruction algorithm can assist in visualizing the tumor. We seek to determine the dosimetric impact of utilizing a lung detail algorithm versus a standard algorithm on calculated dose in radiation treatment planning. METHODS: Ten patients, with 12 tumors, were analyzed in this study. Two CT scans, one reconstructed using a standard algorithm and one using a lung detail algorithm, were generated for each of 12 lung tumors. Treatment plans were calculated for each CT scan, with 7 tumors receiving stereotactic ablative radiotherapy (SABR) and 5 receiving intensity-modulated radiation therapy (IMRT). The Hounsfield unit (HU) and dose values for each voxel of the planning tumor volume (PTV), esophagus, spinal cord, and contralateral lung in both the CT and dose images were exported to MATLAB. For each contour, the voxel-by-voxel differences in the HU and dose distributions between the two scans were analyzed along with dose-volume histogram (DVH) data. RESULTS: Despite changes in HU values, the voxel-by-voxel analysis showed a negligible shift in dose values. The mean differences in dose for PTV, esophagus, spinal cord, and contralateral lung ranged from -12.12 to 22.57, -2.21 to 7.40, -0.50 to 5.93, and -1.12 to 7.41 cGy, respectively. DVH comparisons demonstrated no meaningful difference between plans. The mean PTV, esophagus, spinal cord, and contralateral lung doses measured from the DVH shifted between plans an average of 3.5, 2.93, -0.6 and -0.35 cGy, respectively. These dose differences are all less than 1% of the dose prescribed to the tumor and are not measurable by current technology. CONCLUSIONS: The lung detail reconstruction algorithm, when applied to thoracic radiation treatment planning CT scans, can help precisely delineate tumor with negligible dosimetric impact.
