{"title":"cMiCE PET检测器的多路复用策略","authors":"R. Miyaoka, W. Hunter, L. Pierce","doi":"10.1109/NSSMIC.2012.6551877","DOIUrl":null,"url":null,"abstract":"Continuous miniature crystal element (cMiCE) PET detectors use monolithic scintillators coupled to arrays of photosensor elements and statistics based methods for positioning of detected events. Current implementations acquire and utilize all photosensor array channels for event positioning (e.g., 64 channels for an 8×8 PMT or SiPM array). We investigate different multiplexing strategies to reduce the number of acquired signal channels and their impact on positioning performance. This study was conducted using data collected from a cMiCE PET detector. Sixty-four signals were collected per event and data were binned into four depth of interaction regions. The multiplexing strategies were implemented in software. Multiplexing strategies investigated included rowcolumn (RC) summing of signals (64 channel -> 16 channel); sampling based upon a modulus 3 and modulus 5 patterns of detector channels (64 -> 16); variants of RC summing (e.g., 64 -> 19 or 64 -> 8); and multiplexing based upon principal component analysis. The average X,Y intrinsic spatial resolution for the cMiCE detector using all 64 channels for positioning was 1.26 mm FWHM in X and Y. For standard RC summing of signals the average intrinsic X,Y spatial resolution was 1.32 mm. The intrinsic spatial resolution for the modulus 3 and 5 multiplexing was significantly worse at 1.43 mm FWHM. A RC summing method that used three additional multiplexed channels along the edges of the crystal provided similar decoding performance as standard RC summing (i.e., 1.31 mm) but better visual spatial positioning in the corners and edges of the detector. However, the most encouraging results were using multiplexing methods based upon the principal components of the detector signals; the intrinsic spatial resolution for this method was best of all the multiplexing methods (i.e., 1.30 mm FWHM) and it proved to be fairly robust to slight changes in the weighting factors. In conclusion, signal multiplexing techniques can be applied to monolithic crystal PET detectors that utilize statistics-based positioning methods. Reductions in the number of acquisition signal channels of a factor of 3-5 resulted in only 4-10% degradation in spatial resolution performance.","PeriodicalId":187728,"journal":{"name":"2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multiplexing strategies for cMiCE PET detectors\",\"authors\":\"R. Miyaoka, W. Hunter, L. Pierce\",\"doi\":\"10.1109/NSSMIC.2012.6551877\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Continuous miniature crystal element (cMiCE) PET detectors use monolithic scintillators coupled to arrays of photosensor elements and statistics based methods for positioning of detected events. Current implementations acquire and utilize all photosensor array channels for event positioning (e.g., 64 channels for an 8×8 PMT or SiPM array). We investigate different multiplexing strategies to reduce the number of acquired signal channels and their impact on positioning performance. This study was conducted using data collected from a cMiCE PET detector. Sixty-four signals were collected per event and data were binned into four depth of interaction regions. The multiplexing strategies were implemented in software. Multiplexing strategies investigated included rowcolumn (RC) summing of signals (64 channel -> 16 channel); sampling based upon a modulus 3 and modulus 5 patterns of detector channels (64 -> 16); variants of RC summing (e.g., 64 -> 19 or 64 -> 8); and multiplexing based upon principal component analysis. The average X,Y intrinsic spatial resolution for the cMiCE detector using all 64 channels for positioning was 1.26 mm FWHM in X and Y. For standard RC summing of signals the average intrinsic X,Y spatial resolution was 1.32 mm. The intrinsic spatial resolution for the modulus 3 and 5 multiplexing was significantly worse at 1.43 mm FWHM. A RC summing method that used three additional multiplexed channels along the edges of the crystal provided similar decoding performance as standard RC summing (i.e., 1.31 mm) but better visual spatial positioning in the corners and edges of the detector. However, the most encouraging results were using multiplexing methods based upon the principal components of the detector signals; the intrinsic spatial resolution for this method was best of all the multiplexing methods (i.e., 1.30 mm FWHM) and it proved to be fairly robust to slight changes in the weighting factors. In conclusion, signal multiplexing techniques can be applied to monolithic crystal PET detectors that utilize statistics-based positioning methods. 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引用次数: 0
摘要
连续微型晶体元件(cMiCE) PET探测器使用单片闪烁体耦合到光敏元件阵列和基于统计的方法来定位检测到的事件。目前的实现获取并利用所有光敏传感器阵列通道进行事件定位(例如,8×8 PMT或SiPM阵列的64通道)。我们研究了不同的多路复用策略,以减少获取的信号通道数量及其对定位性能的影响。本研究使用从cMiCE PET检测器收集的数据进行。每个事件收集64个信号,并将数据分为四个深度的交互区域。多路复用策略在软件中实现。研究的多路复用策略包括信号行列(RC)求和(64通道-> 16通道);基于检测器通道的模3和模5模式(64 -> 16)的采样;RC求和的变体(例如,64 -> 19或64 -> 8);以及基于主成分分析的多路复用。使用所有64通道定位的cMiCE探测器在X和Y上的平均X、Y内禀空间分辨率为1.26 mm FWHM。对于标准RC信号求和,平均X、Y内禀空间分辨率为1.32 mm。模量3和模量5复用的本征空间分辨率在FWHM为1.43 mm时明显变差。使用沿晶体边缘的三个额外多路复用通道的RC求和方法提供了与标准RC求和相似的解码性能(即1.31 mm),但在检测器的角落和边缘有更好的视觉空间定位。然而,最令人鼓舞的结果是使用基于探测器信号主成分的多路复用方法;该方法的固有空间分辨率是所有复用方法中最好的(即1.30 mm FWHM),并且对加权因子的微小变化具有相当的鲁棒性。总之,信号复用技术可以应用于利用基于统计的定位方法的单片晶体PET探测器。将采集信号通道的数量减少3-5倍,只会导致空间分辨率性能下降4-10%。
Continuous miniature crystal element (cMiCE) PET detectors use monolithic scintillators coupled to arrays of photosensor elements and statistics based methods for positioning of detected events. Current implementations acquire and utilize all photosensor array channels for event positioning (e.g., 64 channels for an 8×8 PMT or SiPM array). We investigate different multiplexing strategies to reduce the number of acquired signal channels and their impact on positioning performance. This study was conducted using data collected from a cMiCE PET detector. Sixty-four signals were collected per event and data were binned into four depth of interaction regions. The multiplexing strategies were implemented in software. Multiplexing strategies investigated included rowcolumn (RC) summing of signals (64 channel -> 16 channel); sampling based upon a modulus 3 and modulus 5 patterns of detector channels (64 -> 16); variants of RC summing (e.g., 64 -> 19 or 64 -> 8); and multiplexing based upon principal component analysis. The average X,Y intrinsic spatial resolution for the cMiCE detector using all 64 channels for positioning was 1.26 mm FWHM in X and Y. For standard RC summing of signals the average intrinsic X,Y spatial resolution was 1.32 mm. The intrinsic spatial resolution for the modulus 3 and 5 multiplexing was significantly worse at 1.43 mm FWHM. A RC summing method that used three additional multiplexed channels along the edges of the crystal provided similar decoding performance as standard RC summing (i.e., 1.31 mm) but better visual spatial positioning in the corners and edges of the detector. However, the most encouraging results were using multiplexing methods based upon the principal components of the detector signals; the intrinsic spatial resolution for this method was best of all the multiplexing methods (i.e., 1.30 mm FWHM) and it proved to be fairly robust to slight changes in the weighting factors. In conclusion, signal multiplexing techniques can be applied to monolithic crystal PET detectors that utilize statistics-based positioning methods. Reductions in the number of acquisition signal channels of a factor of 3-5 resulted in only 4-10% degradation in spatial resolution performance.