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中国生物医学工程学会
北京玛格泰克科技发展有限公司
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2019 Vol. 28, No. 4
Published: 2019-12-01
139
Parameters Optimal Selection during Pediatric
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F-FDG PETCT Examination
CUI Li-hong, ZHAO Ming, ZHANG Zhong-tai, XU Shu-wei, WANG Jin-bo, LIU Yang, ZHANG Hong-yu
Objective:
Up to now, pediatric
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F-FDG dose and acquisition durations are generally based on coarse extrapolation from adult guidelines. This study sought to determine whether shorter acquisition durations or a lower
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F-FDG injected activity could be used during pediatric
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F-FDG PET/CT examinations while maintaining diagnostic utility.
Methods:
36 whole-body
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F-FDG PET/CT examinations were performed on 36 patients (weight, 13-89 kg; 46.51±5.63 kg, age range, 3-14 y, 9.22±3.16) with a weight-based injected activity (5.3 MBq/kg [0.144 mCi/kg]), fixed acquisition durations 180 S/FOV, Vip record acquisition mode using Discovery STE. For each examination, the Vip-mode data were truncated to form multiple datasets with shorter acquisition durations down to a minimum of 60 S/FOV (i.e., 60, 80, 100,120,140,160 S/FOV data were formed from single 180 S/FOV acquisition). 168 image volumes were generated, randomized, and reviewed in a masked manner with corresponding CT image volumes by 6 radiologists. Overall, subjective adequacy and objective lesion detection accuracy by body region were evaluated.
Results:
All examinations with maximum acquisition duration were graded as adequate and were used as the reference standard for detection accuracy. For patients more than 30 kg, when acquisition duration was more than 120 S/FOV, all PET/CT examinations was graded as adequate for clinical tasks, whereas, acquisition duration was reduced less than 120 S/FOV, lesion detection became less accurate. For patients less than 30 kg, Lesion detection accuracy was perfect for acquisition times between 140 S/FOV and 180 S/FOV for all regions of the body. However, lesion detection became less accurate when imaging acquisition time was reduced less than 140 S/FOV.
Conclusion:
When GE Discovery STE PET/CT was applied during Pediatric PET/CT examination, Using decreased acquisition times as a surrogate for
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F-FDG dose,
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F-FDG dose can be reduced by approximately 33.33%, when patients lager than 30 kg were scanned for 180 S/FOV, for patients less than 30 kg,
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F-FDG dose can be reduced by approximately 22.22% without a loss of diagnostic utility. Reduction of overall scan time potentially reduces motion artifacts, improves patient comfort, and decreases length of sedation. Alternatively, decreased
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F-FDG dose minimizes radiation risk.
2019 Vol. 28 (4): 139-144 [
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145
The Influence of Deposition Parameters on the Microstructure and Deposition Mechanism of Low-temperature Isotropic Pyrocarbon on a Bed of Fluidized Particles
ZHANG Jian-hui, RUAN Ye-peng, LUO Bi-hui, ZHENG Yan-zhen
To investigate the microstructure and deposition mechanism of low-temperature isotropic pyrocarbon (LTIC), chemical vapour deposition was conducted in a steady-state fluidized bed using different propane concentrations and deposition temperatures. The microstructure of LTIC obtained at different deposition conditions was characterized using scanning electron microscopy (SEM) and transmission electron microscopy (TEM). The results show that LTIC is composed of both globular-like and laminar structures. Increasing the deposition temperature is propitious for decreasing the nucleation barrier-forming pyrocarbon in vapour, causing the quantity of spherical particles with a smaller diameter to increase and the texture of the outer layer around carbon blacks inside the spherical particles to decrease gradually. Increasing the propane concentration also made the globular-like fracture morphology more obvious and caused the laminar structure to gradually disappear. Pyrocarbon formation is dominated by a surficial growth mechanism at lower propane concentrations, while gaseous nucleation mechanism is more dominant at higher propane concentrations.
2019 Vol. 28 (4): 145-154 [
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155
Novel Algorithm to Suppress Random Pulse Interference in Spikes
LIU Xing-yu, WANG Yong-yi, WAN Hong, SHANG Zhi-gang
Spikes detection and sorting play an important role in study of neural information coding. Spikes were generally obtained by threshold detection after filtered in traditional detection, which failed to suppress the random pulse interference (RPI), In this paper, a novel algorithm was provided to suppress RPI using integrated feature. The raw neural signals from the primary visual cortex in rats were detected with microelectrode array. After the feature differences between spikes and RPls were compared, the features which include waveform and non-waveform features were extracted respectively, and then the integrated feature was established based on Fisher's discrimi nant ratio to separate between spikes and RPls. The test results of simulation and experiment show that the separability capability of the integrated feature is nearly two times greater than the individual feature, the average correct recognition rate of spikes and RPls is over 93%, and the detection rate of spike is effectively improved.
2019 Vol. 28 (4): 155-161 [
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162
SIRT1 Protects Cortical Neurons from Shear Stress Induced Mechanical Injury
WEI Song, LIU Mei-li, LI Ping, ZHOU Gang, FAN Yu-bo
Emerging evidence implicates that SIRT1, one of NAD-dependent protein deacetylase, is involved in the regulation of neuronal survival. However, the role of SIRT1 in mechanical injury is still unclear. Here, we first established a mechanical injury model of rat cortical neurons through exposing to 10 dyn/cm
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laminar shear stress for 4 h. At the same time, we found that SIRT1 expression increased during the process of shear stress induced neuronal injury. SIRT1 overexpression in cortical neurons significantly decreased the percentage of died cells induced by shear stress. Our results demonstrate that SIRTl may play potential neuroprotective effects in shear stress induced mechanical injury.
2019 Vol. 28 (4): 162-167 [
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168
Medical Image Fusion Based on Sparse Representation with KSVD
YU Nan-nan, QIU Tian-shuang, LIU Wen-hong
Medical image fusion is a process by which two different models of images are combined into a single image, in order to provide doctors with accurate diagnoses, and take right action. This paper proposes an image fusion method based on sparse representation with KSVD. Firstly, all source images are combined into a joint-matrix, which can be represented with sparse coefficients using an overcompletedictionary trained by KSVD algorithm. Secondly, the coefficients which are considered as image features are combined with the choose-max fusion rule. Finally, the fused image is reconstructed from the concatenated coefficients and the overcomplete dictionary. Compared with three state-of-the-art algorithms, the proposed method has better fusion performance.
2019 Vol. 28 (4): 168-172 [
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Prejudgments for Reference Potential Determination to Quantitative EEG Interpretation: Amplitude Distribution and Ear-lobe Activation
WANG Bei, WANG Xing-yu, Akio Ikeda, Takashi Nagamine, Hiroshi Shibasaki, Masatoshi Nakamura
This paper presents an automatic techruque of suitable reference potential selection for quantitative EEG interpretation. The 16-channels EEG recording under mono-polar derivation is analyzed. There are two prejudgments defined for checking the amplitude distribution and ear lobe activation. After prejudgments, the EEG is classified into several cases in cluding diffused case, non-diffused case, and artifact contami nation case. Due to the cases, an automatic reference selection method is applied in order to find out suitable reference potential. Finally, the referential derivation constructed according to the obtained reference potential, is evaluated for further EEG rhythm analysis. The presented technique can high light the EEG rhythm of interest, which is useful for quantitative EEG interpretation by both visual inspection and automatic evaluation.
2019 Vol. 28 (4): 173-180 [
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181
Pulmonary Crackle Detection Based on Fractional Hilbert Transform
LI Zhen-zhen
Crackles are an important kind of abnormal and discontinuous lung sounds, which have been found to be correlated to types of pulmonary diseases. The purpose of this work is to show a new perspective to solve the problem of crackle detection, based on an emerging theory of fractional Hilbert transform. By applying fractional Hilbert transform to lung sound signals, a two-dimension texture image can be generated. The texture features corresponding to crackles are quite easy to be extracted. Experiments illustrate the effectiveness of our method.
2019 Vol. 28 (4): 181-184 [
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