The evaluation of academic researchers often relies on quantitative metrics,despite their limitations.This paper examines the qualitative assessment approach used by the French National Center for Scientific Research(...The evaluation of academic researchers often relies on quantitative metrics,despite their limitations.This paper examines the qualitative assessment approach used by the French National Center for Scientific Research(CNRS)in Computer Science(Section 6),as presented by a National Committee for Scientific Research(CoNRS)committee president.Rejecting bibliometrics like impact factors,CNRS emphasizes in-depth peer review of research quality,diverse outputs(e.g.,software and datasets),and field-specific considerations.The process,aligned with the San Francisco Declaration on Research Assessment(DORA),faces challenges in scalability and subjectivity,addressed through committee diversity and structured deliberation.This work provides insights for institutions seeking fairer,more holistic research evaluation frameworks.展开更多
The purpose of the study was to evaluate the effect of motion compensation by non-rigid registration combined with the Karhunen-Loeve Transform (KLT) filter on the signal to noise (SNR) and contrast-to-noise ratio (CN...The purpose of the study was to evaluate the effect of motion compensation by non-rigid registration combined with the Karhunen-Loeve Transform (KLT) filter on the signal to noise (SNR) and contrast-to-noise ratio (CNR) of hybrid gradient-echo echoplanar (GRE-EPI) first-pass myocardial perfusion imaging. Twenty one consecutive first-pass adenosine stress perfusion MR data sets interpreted positive for ischemia or infarction were processed by non-rigid Registration followed by KLT filtering. SNR and CNR were measured in abnormal and normal myocardium in unfiltered and KLT filtered images following nonrigid registration to compensate for respiratory and other motions. Image artifacts introduced by filtering in registered and nonregistered images were evaluated by two observers. There was a statistically sig- nificant increase in both SNR and CNR between normal and abnormal myocardium with KLT filtering (mean SNR increased by 62.18% ± 21.05% and mean CNR increased by 58.84% ± 18.06%;p = 0.01). Motion correction prior to KLT filtering reduced significantly the occurrence of filter induced artifacts (KLT only-artifacts in 42 out of 55 image series vs. registered plus KLT-artifacts in 3 out of 55 image series). In conclusion the combination of non-rigid registration and KLT filtering was shown to increase the SNR and CNR of GRE-EPI perfusion images. Subjective evaluation of image artifacts revealed that prior motion compensation significantly reduced the artifacts introduced by the KLT filtering process.展开更多
文摘The evaluation of academic researchers often relies on quantitative metrics,despite their limitations.This paper examines the qualitative assessment approach used by the French National Center for Scientific Research(CNRS)in Computer Science(Section 6),as presented by a National Committee for Scientific Research(CoNRS)committee president.Rejecting bibliometrics like impact factors,CNRS emphasizes in-depth peer review of research quality,diverse outputs(e.g.,software and datasets),and field-specific considerations.The process,aligned with the San Francisco Declaration on Research Assessment(DORA),faces challenges in scalability and subjectivity,addressed through committee diversity and structured deliberation.This work provides insights for institutions seeking fairer,more holistic research evaluation frameworks.
文摘The purpose of the study was to evaluate the effect of motion compensation by non-rigid registration combined with the Karhunen-Loeve Transform (KLT) filter on the signal to noise (SNR) and contrast-to-noise ratio (CNR) of hybrid gradient-echo echoplanar (GRE-EPI) first-pass myocardial perfusion imaging. Twenty one consecutive first-pass adenosine stress perfusion MR data sets interpreted positive for ischemia or infarction were processed by non-rigid Registration followed by KLT filtering. SNR and CNR were measured in abnormal and normal myocardium in unfiltered and KLT filtered images following nonrigid registration to compensate for respiratory and other motions. Image artifacts introduced by filtering in registered and nonregistered images were evaluated by two observers. There was a statistically sig- nificant increase in both SNR and CNR between normal and abnormal myocardium with KLT filtering (mean SNR increased by 62.18% ± 21.05% and mean CNR increased by 58.84% ± 18.06%;p = 0.01). Motion correction prior to KLT filtering reduced significantly the occurrence of filter induced artifacts (KLT only-artifacts in 42 out of 55 image series vs. registered plus KLT-artifacts in 3 out of 55 image series). In conclusion the combination of non-rigid registration and KLT filtering was shown to increase the SNR and CNR of GRE-EPI perfusion images. Subjective evaluation of image artifacts revealed that prior motion compensation significantly reduced the artifacts introduced by the KLT filtering process.
