The Experts below are selected from a list of 371646 Experts worldwide ranked by ideXlab platform
Dimitri Debruyne - One of the best experts on this subject based on the ideXlab platform.
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measuring the thermal expansion coefficient of tubular steel specimens with digital image Correlation techniques
Optics and Lasers in Engineering, 2010Co-Authors: M De Strycker, Luc Schueremans, W Van Paepegem, Dimitri DebruyneAbstract:In this contribution it is investigated whether it is possible to measure the coefficient of thermal expansion (CTE) of steel with the aid of the digital image Correlation (DIC) technique. DIC is first used to obtain reference values of the CTE of well-known steels (S235 and SS304) on simple geometries (rectangular blocks) within a low temperature interval (up to 120 °C). Although the strains that occur in this Process are small, the CTE can be determined with good accuracy if enough images are available. The influence of the different parameters that control the Correlation Process showed no influence on the results. The values for the CTE are compared to available literature references and strain gauge measurements. The technique is extended to measure within a higher temperature interval (up to 600 °C), three-dimensional geometries (tubular samples), and a third material (SS409). It is shown that also in these cases, the results obtained are reliable. This contribution is part of a larger research effort predicting the residual stress in tubes coming from the welding Process with finite element (FE) simulation. The goal of this research is therefore twofold: firstly obtaining the CTE in function of temperature, which can be used as input for the FE simulations; and secondly exploring the possibilities of measuring small thermal strains with DIC.
Jiaoti Huang - One of the best experts on this subject based on the ideXlab platform.
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A system for evaluating magnetic resonance imaging of prostate cancer using patient-specific 3D printed molds.
American journal of clinical and experimental urology, 2014Co-Authors: Alan Priester, Jesse D Le, Bryan Radosavcev, Daniel Ja Margolis, Shyam Natarajan, Leonard S Marks, James Garritano, Warren Grundfest, Jiaoti HuangAbstract:We have developed a system for evaluating magnetic resonance imaging of prostate cancer, using patient-specific 3D printed molds to facilitate MR-histology Correlation. Prior to radical prostatectomy a patient receives a multiparametric MRI, which an expert genitourinary radiologist uses to identify and contour regions suspicious for disease. The same MR series is used to generate a prostate contour, which is the basis for design of a patient-specific mold. The 3D printed mold contains a series of evenly spaced parallel slits, each of which corresponds to a known MRI slice. After surgery, the patient's specimen is enclosed within the mold, and all whole-mount levels are obtained simultaneously through use of a multi-bladed slicing device. The levels are then formalin fixed, Processed, and delivered to an expert pathologist, who identifies and grades all lesions within the slides. Finally, the lesion contours are loaded into custom software, which elastically warps them to fit the MR prostate contour. The suspicious regions on MR can then be directly compared to lesions on histology. Furthermore, the false-negative and false-positive regions on MR can be retrospectively examined, with the ultimate goal of developing methods for improving the predictive accuracy of MRI. This work presents the details of our analysis method, following a patient from diagnosis through the MR-histology Correlation Process. For this patient MRI successfully predicted the presence of cancer, but true lesion volume and extent were underestimated. Most cancer-positive regions missed on MR were observed to have patterns of low T2 signal, suggesting that there is potential to improve sensitivity.
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Original Article A system for evaluating magnetic resonance imaging of prostate cancer using patient-specific 3D printed molds
2014Co-Authors: Alan Priester, Bryan Radosavcev, Shyam Natarajan, Leonard S Marks, James Garritano, Warren Grundfest, Jiaoti HuangAbstract:We have developed a system for evaluating magnetic resonance imaging of prostate cancer, using patient- specific 3D printed molds to facilitate MR-histology Correlation. Prior to radical prostatectomy a patient receives a multiparametric MRI, which an expert genitourinary radiologist uses to identify and contour regions suspicious for disease. The same MR series is used to generate a prostate contour, which is the basis for design of a patient-specif- ic mold. The 3D printed mold contains a series of evenly spaced parallel slits, each of which corresponds to a known MRI slice. After surgery, the patient's specimen is enclosed within the mold, and all whole-mount levels are obtained simultaneously through use of a multi-bladed slicing device. The levels are then formalin fixed, Processed, and deliv - ered to an expert pathologist, who identifies and grades all lesions within the slides. Finally, the lesion contours are loaded into custom software, which elastically warps them to fit the MR prostate contour. The suspicious regions on MR can then be directly compared to lesions on histology. Furthermore, the false-negative and false-positive regions on MR can be retrospectively examined, with the ultimate goal of developing methods for improving the predictive accuracy of MRI. This work presents the details of our analysis method, following a patient from diagnosis through the MR-histology Correlation Process. For this patient MRI successfully predicted the presence of cancer, but true lesion volume and extent were underestimated. Most cancer-positive regions missed on MR were observed to have patterns of low T2 signal, suggesting that there is potential to improve sensitivity.
Ikuo Yamashita - One of the best experts on this subject based on the ideXlab platform.
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A Study on Power Delay Profile Measurement Using IEEE 802.11g Based Long Preamble Signals for WLAN Systems at 2.4 GHz Band
2012 IEEE 75th Vehicular Technology Conference (VTC Spring), 2012Co-Authors: Hironobu Hatamoto, Satoru Shimizu, Yasuhiro Kanaoka, Ikuo YamashitaAbstract:This paper proposes a measurement scheme of power delay profiles using IEEE 802.11g based wireless packets at 2.4 GHz band. In the proposed scheme, at first, a signal analyzer which can save the received Ich and Qch signal receive the OFDM based packets from wireless access point to mobile terminal. Secondly, positions of long preambles in the received IQ data are detected in the cross Correlation Process using a long preamble signal which is known between a transmitter and a receiver. Thirdly, the power delay profile is calculated by averaging of channel impulse responses which are estimated from received long preamble signals. Computer simulations confirm that the proposed scheme can be expected to achieve almost the same performance with PN sequence based measurement scheme.
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VTC Spring - A Study on Power Delay Profile Measurement Using IEEE 802.11g Based Long Preamble Signals for WLAN Systems at 2.4 GHz Band
2012 IEEE 75th Vehicular Technology Conference (VTC Spring), 2012Co-Authors: Hironobu Hatamoto, Satoru Shimizu, Yasuhiro Kanaoka, Ikuo YamashitaAbstract:This paper proposes a measurement scheme of power delay profiles using IEEE 802.11g based wireless packets at 2.4 GHz band. In the proposed scheme, at first, a signal analyzer which can save the received Ich and Qch signal receive the OFDM based packets from wireless access point to mobile terminal. Secondly, positions of long preambles in the received IQ data are detected in the cross Correlation Process using a long preamble signal which is known between a transmitter and a receiver. Thirdly, the power delay profile is calculated by averaging of channel impulse responses which are estimated from received long preamble signals. Computer simulations confirm that the proposed scheme can be expected to achieve almost the same performance with PN sequence based measurement scheme.
Graeme E. Murch - One of the best experts on this subject based on the ideXlab platform.
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Collective cosine relations and the decay of the collective Correlation Process in solid-state diffusion
Philosophical Magazine A, 1994Co-Authors: Z. Qin, Graeme E. MurchAbstract:Certain relations between the collective , where θ αβ (j) is the angle between the jump of some atom of the α species and the jth succeeding jump of any atom of the β species, are explored by means of a decay of the collective Correlation Process. It is found that the can be expressed in terms of a power of the appropriate , the average collective cosine ofthe angle between consecutive jumps, should every atomic jump for the species lie along an axis of at least twofold symmetry and the collective Correlations between consecutive jumps be independent of that between the previous jumps. In such circumstances, the Correlation corresponds to an «ideal» decay Process with the single relaxation parameter being related simply and directly to
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Decay of the tracer Correlation Process in solid-state diffusion
Philosophical Magazine A, 1993Co-Authors: Z. Qin, Graeme E. MurchAbstract:Abstract It is shown that the relaxation of the tracer Correlation Process expressed through the 〈cosθ j 〉 values, where θ j is the angle between a given jump and the jth succeeding jump of a tracer, can be put in the form of a decay curve. The well known cosine relation for the Correlation Process corresponds to an ideal decay with a single relaxation parameter related directly to 〈cosθ1〉. Monte Carlo computer simulation is employed to explore the behaviour of 〈cosθ j 〉 and the Correlation decay in the binary random alloy. When the exchange frequencies are equal (self-diffusion), the cosine relation is followed exactly. When the frequencies are increasingly different, the relation is increasingly less well followed although 〈cosθ2〉 follows it quite well. The Correlation also develops for longer than would be expected from an ideal decay Process. The departure appears to be caused by the correlated walk of the vacancy.
Alan Priester - One of the best experts on this subject based on the ideXlab platform.
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A system for evaluating magnetic resonance imaging of prostate cancer using patient-specific 3D printed molds.
American journal of clinical and experimental urology, 2014Co-Authors: Alan Priester, Jesse D Le, Bryan Radosavcev, Daniel Ja Margolis, Shyam Natarajan, Leonard S Marks, James Garritano, Warren Grundfest, Jiaoti HuangAbstract:We have developed a system for evaluating magnetic resonance imaging of prostate cancer, using patient-specific 3D printed molds to facilitate MR-histology Correlation. Prior to radical prostatectomy a patient receives a multiparametric MRI, which an expert genitourinary radiologist uses to identify and contour regions suspicious for disease. The same MR series is used to generate a prostate contour, which is the basis for design of a patient-specific mold. The 3D printed mold contains a series of evenly spaced parallel slits, each of which corresponds to a known MRI slice. After surgery, the patient's specimen is enclosed within the mold, and all whole-mount levels are obtained simultaneously through use of a multi-bladed slicing device. The levels are then formalin fixed, Processed, and delivered to an expert pathologist, who identifies and grades all lesions within the slides. Finally, the lesion contours are loaded into custom software, which elastically warps them to fit the MR prostate contour. The suspicious regions on MR can then be directly compared to lesions on histology. Furthermore, the false-negative and false-positive regions on MR can be retrospectively examined, with the ultimate goal of developing methods for improving the predictive accuracy of MRI. This work presents the details of our analysis method, following a patient from diagnosis through the MR-histology Correlation Process. For this patient MRI successfully predicted the presence of cancer, but true lesion volume and extent were underestimated. Most cancer-positive regions missed on MR were observed to have patterns of low T2 signal, suggesting that there is potential to improve sensitivity.
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Original Article A system for evaluating magnetic resonance imaging of prostate cancer using patient-specific 3D printed molds
2014Co-Authors: Alan Priester, Bryan Radosavcev, Shyam Natarajan, Leonard S Marks, James Garritano, Warren Grundfest, Jiaoti HuangAbstract:We have developed a system for evaluating magnetic resonance imaging of prostate cancer, using patient- specific 3D printed molds to facilitate MR-histology Correlation. Prior to radical prostatectomy a patient receives a multiparametric MRI, which an expert genitourinary radiologist uses to identify and contour regions suspicious for disease. The same MR series is used to generate a prostate contour, which is the basis for design of a patient-specif- ic mold. The 3D printed mold contains a series of evenly spaced parallel slits, each of which corresponds to a known MRI slice. After surgery, the patient's specimen is enclosed within the mold, and all whole-mount levels are obtained simultaneously through use of a multi-bladed slicing device. The levels are then formalin fixed, Processed, and deliv - ered to an expert pathologist, who identifies and grades all lesions within the slides. Finally, the lesion contours are loaded into custom software, which elastically warps them to fit the MR prostate contour. The suspicious regions on MR can then be directly compared to lesions on histology. Furthermore, the false-negative and false-positive regions on MR can be retrospectively examined, with the ultimate goal of developing methods for improving the predictive accuracy of MRI. This work presents the details of our analysis method, following a patient from diagnosis through the MR-histology Correlation Process. For this patient MRI successfully predicted the presence of cancer, but true lesion volume and extent were underestimated. Most cancer-positive regions missed on MR were observed to have patterns of low T2 signal, suggesting that there is potential to improve sensitivity.
