2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)最新文献_第10页

Quantitative comparison of [18F]fallypride PET binding potential estimates using reference tissue models in rat brains [18F]使用参考组织模型对大鼠脑内的fallypride PET结合电位进行定量比较

2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Pub Date : 2015-10-01 DOI: 10.1109/NSSMIC.2015.7582183

Dianne E. Lee, Siva Muthusamy, D. Hammoud

引用次数: 0

Scanner dependent noise properties of the Q. Clear PET image reconstruction tool 扫描仪相关噪声特性的Q. Clear PET图像重建工具

2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Pub Date : 2015-10-01 DOI: 10.1109/NSSMIC.2015.7582176

J. Lantos, A. Iagaru, C. Levin

{"title":"Scanner dependent noise properties of the Q. Clear PET image reconstruction tool","authors":"J. Lantos, A. Iagaru, C. Levin","doi":"10.1109/NSSMIC.2015.7582176","DOIUrl":"https://doi.org/10.1109/NSSMIC.2015.7582176","url":null,"abstract":"In this paper we compare the noise properties of the newly introduced Q.Clear image reconstruction algorithm and conventional OSEM using the ACR phantom measured on the GE Discovery 600 and 690 PET/CT scanners with various count statistics. In the D600 measurement the SNR decreases from 31.5±1.3 and 26.9±1.6 to 5.3±0.4 and 5.5±0.3 for the Q.Clear (with regularization strength parameter beta=350) and the OSEM images, respectively as the statistics decreases from 100% to 5%. The average mean hot concentration recovery values of the three biggest rods over all time slices are 0.57±0.01, 0.66±0.04 and 0.8±0.02 for Q.Clear (with beta=350) and 0.63±0.03, 0.71±0.05 and 0.83±0.03 for OSEM, respectively. The SUVmax related maximum hot activity concentration recovery calculated from the maximum concentration averaged for these 3 rods increased from 0.78 and 0.88 to 1.1 and 1.5, respectively for the two algorithms. In the D690 measurement the SNR decreases from 26.6±1.4 and 31.0±1.3 to 3.8±0.4 and 6.3±0.5 for Q.Clear and the OSEM, respectively. The mean hot concentration recovery values are 0.66±0.04, 0.8±0.02 and 0.92±0.01 for Q.Clear and 0.65±0.04, 0.78±0.02 and 0.9±0.02 for OSEM, respectively. The maximum hot activity concentration recovery increased from 0.98 and 0.93 to 2.3 and 1.4, respectively for the two algorithms. In summary for the two scanners the SNR of Q.Clear matches the SNR of OSEM with different regularization strength applied. Although the mean concentration recovery values were not significantly different in either measurement (with beta=350) the maximum recovery was affected by noise and was closer to one with Q.Clear in the case of D600 and with OSEM for the D690. Q.Clear resulted in significantly better cold contrast in bone for both scanners (0.053±0.004 vs. 0.106±0.01 and 0.0±0 vs. 0.144±0.004) and in air for the D690 (0.305±0.004 vs. 0.380±0.005).","PeriodicalId":106811,"journal":{"name":"2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132137570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

List-mode source injection algorithm for detectors with arbitrary pose and trajectory 任意姿态和轨迹检测器的列表模式源注入算法

2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Pub Date : 2015-10-01 DOI: 10.1109/NSSMIC.2015.7581766

J. Maltz, M. Bandstra, T. Joshi, D. Gunter, B. Quiter

{"title":"List-mode source injection algorithm for detectors with arbitrary pose and trajectory","authors":"J. Maltz, M. Bandstra, T. Joshi, D. Gunter, B. Quiter","doi":"10.1109/NSSMIC.2015.7581766","DOIUrl":"https://doi.org/10.1109/NSSMIC.2015.7581766","url":null,"abstract":"When evaluating detectors and algorithms for nuclear threat detection in populated environments, introducing actual sources is usually neither feasible nor economical. It is more practical to move the detector, (which is either airborne, vehicle-borne, or human portable) through the test environment and then to later artificially superimpose either measured or simulated source signatures on the recorded background data. We present a source injection algorithm that can be used to inject either measured or simulated source data into list-mode background data. It is designed to accommodate cases where measured “injection data” are available only at a limited set of locations. We describe a sampling scheme suitable for obtaining measured source injection data. We then use these data to demonstrate the source injection algorithm applied to list-mode data collected with a helicopter-borne detector system, where arbitrary detector poses and trajectories are possible. Stochastic methods are used both to select source events from a dataset containing both source and background events, and to scale the number of selected events to match the field conditions of detector-source distance, air attenuation, acquisition duration, and the relative strength of the measured and injected sources. This algorithm is planned to be used as part of the Airborne Radiation Enhanced-sensor System (ARES) Advanced Technology Demonstration.","PeriodicalId":106811,"journal":{"name":"2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132268617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A practical sparse-view ultra-low dose CT acquisition scheme for PET attenuation correction 一种实用的用于PET衰减校正的稀疏视图超低剂量CT采集方案

2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Pub Date : 2015-10-01 DOI: 10.1109/NSSMIC.2015.7582031

J. Miao, J. Fan

{"title":"A practical sparse-view ultra-low dose CT acquisition scheme for PET attenuation correction","authors":"J. Miao, J. Fan","doi":"10.1109/NSSMIC.2015.7582031","DOIUrl":"https://doi.org/10.1109/NSSMIC.2015.7582031","url":null,"abstract":"For PET imaging, CT scans are often used for PET attenuation correction and can be acquired at greatly reduced CT radiation dose levels. Techniques as low tube voltage/current have been used to obtain adequate attenuation maps in medium size patients. These techniques usually employ a smooth filter before backprojection to reduce CT image noise which can introduce bias in the conversion from HU to attenuation values. Due to the heaviness of the smooth filter and advancement of CT reconstruction algorithm, the CT dose can be further reduced while providing the same attenuation estimation. In this work, we propose an ultra-low dose CT technique for PET attenuation correction based on sparse-view acquisition. That is, instead of an acquisition of full amount of views, only a fraction of views are acquired. We tested this technique on a 256-slice GE Revolution CT scanner using a whole-body anthropomorphic phantom. An FBP reconstruction with Q.AC on 492 views (10 mA, 120 kV, 0.5 s) and an FBP reconstruction with standard filter on 984 views (150 mA, 120 kV, 0.5s) produced similar attenuation uniformity. We also simulated sparse-view acquisition by skipping views in an interleaved manner from the fully-acquired data. FBP reconstruction with Q.AC filter on simulated 246 views (20 mA, 120 kV, 0.5 s) looks similarly to the reconstruction on acquired 984 views (20 mA, 120 kV, 0.5 s), showing a further potential for dose reduction compared to the full acquisition. With the proposed sparse-view method, this work can bring at least 2× more CT dose reduction to the current Ultra-Low Dose (ULD) PET/CT protocol.","PeriodicalId":106811,"journal":{"name":"2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130911002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Advances in iQID: Upgraded algorithms, thicker scintillators and larger area iQID的进展:算法升级，闪烁体更厚，面积更大

2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Pub Date : 2015-10-01 DOI: 10.1109/NSSMIC.2015.7582078

Ling Han, B. Miller, H. B. Barber, L. Furenlid

{"title":"Advances in iQID: Upgraded algorithms, thicker scintillators and larger area","authors":"Ling Han, B. Miller, H. B. Barber, L. Furenlid","doi":"10.1109/NSSMIC.2015.7582078","DOIUrl":"https://doi.org/10.1109/NSSMIC.2015.7582078","url":null,"abstract":"iQID (intensified quantum imaging detector) is a novel CCD/CMOS-based ultra-high-resolution photon-counting gamma-ray and x-ray detector technology recently developed at the Center for Gamma-Ray Imaging (CGRI) at the University of Arizona. In this work, we report further advances in iQID's capabilities in terms of dark-noise suppression, sensitivity and field of view (FOV). A new frame-parsing algorithm has been developed that is capable of eliminating certain kinds of dark noise originating in the image intensifier while at the same time maintaining high processing speed for photon-counting applications. To improve detector sensitivity, a thicker 1.65 mm columnar CsI(Tl) scintillator has been tested and compared against the original 450 μm columnar CsI(Tl) scintillator in terms of detector sensitivity and resolution. A study of the depth-of-interaction effects of the thicker scintillator has been performed. Simulation and experimental results are in agreement. Finally, to facilitate the use of iQID technology for clinical applications, four large-magnification fiber-optic tapers were tiled together to increase the total detection area to 188×188 mm2. When all of the upgrades are combined, a novel high-sensitivity, high-resolution and large-FOV CCD/CMOS-based gamma-ray detector prototype will be available for evaluation in preclinical and clinical applications.","PeriodicalId":106811,"journal":{"name":"2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131015286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Improving the quantification accuracy of a PET/CT-scanner with pixelated large area detector 提高采用像素化大面积检测器的PET/ ct扫描仪的定量精度

2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Pub Date : 2015-10-01 DOI: 10.1109/NSSMIC.2015.7582097

U. Nemer, J. Maus, G. Schramm, P. Meyer, J. Hennig, M. Mix

{"title":"Improving the quantification accuracy of a PET/CT-scanner with pixelated large area detector","authors":"U. Nemer, J. Maus, G. Schramm, P. Meyer, J. Hennig, M. Mix","doi":"10.1109/NSSMIC.2015.7582097","DOIUrl":"https://doi.org/10.1109/NSSMIC.2015.7582097","url":null,"abstract":"One of the main benefits of PET/CT imaging is its ability for absolute quantification. Calibration according to the manufacturer's procedure specifies an accuracy of about 10%, whereas especially in dynamic clinical studies a higher quantification accuracy is desired. Therefore a more accurate calibration is needed. At the Gemini TF, a scanner with pix-elated large-area LYSO detectors, there are differences in the measurement set-up between calibration and clinical acquisition. This study intends to evaluate the influence of those differences on the calibration with the aim to increase the accuracy of quantification. The major difference herein is the acquisition format, as calibration is performed in histogram-mode (HM-Cal) and clinical acquisition in list-mode format. Using the list-mode format for the calibration (LM-Cal), increases the activity recovery coefficient for the histogram-based acquisition from 0.93 ± 0.08 up to 1.00 ± 0.03. This is however only valid for the calibration set-up but not for clinical situations. Considering more realistic situations like lesions outside the centre of the field of view (FOV) or additional random events coming from highly accumulating regions outside the FOV (like bladder or brain), a different calibration can be found (ALL-Cal). In the evaluation of clinical oncological datasets with low count rates, a significant improvement of the reconstructed mean activity concentration in the bladder (compared to measured urine samples) up to 4% (LM-Cal) was achieved. For very high count rates the normalization of the scanner has to be adapted to improve the quantification accuracy as well.","PeriodicalId":106811,"journal":{"name":"2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129235847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Model asymmetrical detector response function with a skew normal distribution function in PET 用斜正态分布函数对PET中不对称检测器响应函数进行建模

2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Pub Date : 2015-10-01 DOI: 10.1109/NSSMIC.2015.7582168

Xiao Jin, J. Miao, S. Ross, C. Stearns

引用次数: 1

Multi-modality image reconstruction with a runtime segmented anatomical prior 基于运行时分割解剖先验的多模态图像重建

2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Pub Date : 2015-10-01 DOI: 10.1109/NSSMIC.2015.7582120

Chang-Han Huang, Hsi-Hao Chao, Cheng-Ying Chou

{"title":"Multi-modality image reconstruction with a runtime segmented anatomical prior","authors":"Chang-Han Huang, Hsi-Hao Chao, Cheng-Ying Chou","doi":"10.1109/NSSMIC.2015.7582120","DOIUrl":"https://doi.org/10.1109/NSSMIC.2015.7582120","url":null,"abstract":"Multimodality imaging methods that integrate positron emission tomography (PET) with computed tomography (CT) or magnetic resonance imaging (MRI) has gained great popularity in clinical use. The advance of hardware allows for both anatomical and functional images to be acquired during one scan. These two sets of images can be registered readily to help identify tissue boundaries in PET images and thereby yielding images with better contrast recovery. In this study, we used an order-subset expectation maximization (OSEM) reconstruction method with a label mean prior (LMP) or median root prior (MRP). In order to avoid the artifacts caused by these errors, we proposed a runtime segmentation scheme, which re-computes the region labels alongside the iteration process. The priors can reduce noise contamination without blurring the tissue interface. In this work, we also took into consideration the inconsistencies between functional and anatomical images. Consequently, the tissue boundaries were estimated after each subset of iteration. Computer simulation studies were carried out to investigate the usefulness of the proposed algorithm. The performance of the proposed method will be evaluated in terms of image quality, and the effectiveness in compensating signal mismatches.","PeriodicalId":106811,"journal":{"name":"2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126643232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reconstruction of detector scattered events to improve PET sensitivity 重建探测器散射事件，提高PET灵敏度

2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Pub Date : 2015-10-01 DOI: 10.1109/NSSMIC.2015.7582212

H. Rothfuss, V. Panin, M. Aykaç, V. Martin

{"title":"Reconstruction of detector scattered events to improve PET sensitivity","authors":"H. Rothfuss, V. Panin, M. Aykaç, V. Martin","doi":"10.1109/NSSMIC.2015.7582212","DOIUrl":"https://doi.org/10.1109/NSSMIC.2015.7582212","url":null,"abstract":"The sensitivity of a PET scanner is a function of the solid angle of coverage from the scintillation material to the object being scanned and the stopping power of the scintillation material being used. PET scanners also operate with an energy window centered on the 511 keV annihilation photons, wide enough to account for the energy resolution of the scanner's scintillator. The energy window reduces the amount of object scatter accepted, but also eliminates detector scatter events that do not experience object scatter. By adding lower energy windows, an un-scattered, full energy deposition event can be put in coincidence with a lower energy event, creating a high angle scatter line of response, or a detector scattered event that represents an object un-scattered line of response. Using a normalization specifically calculated for the coincidences with the new, lower energy windows and scatter correction of the high angle object scattered events, the data is reconstructed separately from the simultaneously collected PET data acquired with the traditional energy windows. Preliminary results showed that multi energy data reconstruction images can be created, recovering unscattered true events present across all data.","PeriodicalId":106811,"journal":{"name":"2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126655666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Performance characterization of a dual-threshold time-over-threshold APD-based detector front-end module for PET imaging 基于apd的PET成像双阈值超阈值检测器前端模块的性能表征

2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Pub Date : 2015-10-01 DOI: 10.1109/NSSMIC.2015.7581828

Émilie Gaudin, L. Arpin, J. Bouchard, Maxime Paillé, H. Bouziri, M. Bergeron, C. Pepin, J. Cadorette, R. Fontaine, R. Lecomte

{"title":"Performance characterization of a dual-threshold time-over-threshold APD-based detector front-end module for PET imaging","authors":"Émilie Gaudin, L. Arpin, J. Bouchard, Maxime Paillé, H. Bouziri, M. Bergeron, C. Pepin, J. Cadorette, R. Fontaine, R. Lecomte","doi":"10.1109/NSSMIC.2015.7581828","DOIUrl":"https://doi.org/10.1109/NSSMIC.2015.7581828","url":null,"abstract":"The LabPET II front-end module is an avalanche photodiode (APD) based pixelated detector designed to achieve submillimetric spatial resolution in pre-clinical Positron Emission Tomography (PET). This technology is also based on Time-over-Threshold (ToT) signal processing and designed to be used as a generic platform for ultra-high resolution PET imaging of small and medium-size animals. The basic building block uses a 4×8 array of 1.12×1.12×12 mm3 Lu1.9Y0.1SiO5:Ce (LYSO) scintillator pixels with one-to-one coupling to a 4×8 pixelated APD array mounted on a ceramic carrier. Four of these detectors are mounted on a PCB with two 64-channel ASICs interfacing to two detector modules each. Signals from each APD pixel can be individually processed by dedicated dual-threshold ToT channels providing timing and energy data. Energy calibration was performed using gamma ray sources in the range 300-1275 keV to correct the non-linearity of the ToT signal and obtain energy spectra. Energy and timing performance of the complete front-end module was evaluated. Results confirm the functionality of the dual threshold ToT circuit implemented in the 64-channel ASIC, as well as the physical performance of the most recent LabPET II version of APD-based detectors for applications in high-resolution PET imaging.","PeriodicalId":106811,"journal":{"name":"2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126209824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5