FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2103403358> ?p ?o ?g. }

• W2103403358 endingPage "516" @default.
• W2103403358 startingPage "512" @default.
• W2103403358 abstract "<b>11</b> <h3><b>Objectives:</b></h3> Data-driven respiratory or cardiac gating methods have advantage of simplifying scanning procedure without the use of external devices. While data-driven methods prove generally successful and comparable to hardware, the accuracy of the acquired signal is subject to the influence of multiple parameters including tracer uptake pattern and count rate. In particular, it has been found that data-driven respiratory signals are degraded in upper-lung region scans with reduced myocardium uptakes using FDG. There has been few research on how different factors affecting the accuracy of respiratory and cardiac data-driven <h3><b>Methods:</b></h3> In this work, we performed a systematic study to quantify the influence of multiple factors on the performance of data-driven methods using simulated data of FDG uptake. Methods: In the simulation study, the respiratory signal and cardiac triggers were acquired from an actual patient scan using an external device and ECG device respectively. The exact respiratory and cardiac motion state at each specific time point (every 25 ms) were determined from the motion signals. Projection data of this time point were generated from the 4D XCAT phantom using an in-house developed projector to simulate a PET/CT system. Scatter effects were simulated by applying a scatter function to the projection data, and randoms were simulated using delay events in an actual scan. Previously developed data-driven respiratory and cardiac gating methods were applied to simulated PET data, using 100ms and 25ms sampling rate for respiratory and cardiac signal extraction respectively. Correlation coefficient (CC) of the data-driven signal with the true signal was used as quantitative criteria for evaluating respiratory data-driven method. Standard deviation of the trigger difference over the heart cycle (SDTD/HC) was used for evaluating cardiac data-driven method, as a constant difference between data-driven triggers and the true triggers indicates consistency between two triggers. Varieties of myocardium uptake, count rate, heart frequency change, and respiratory motion amplitude were studied (see Table 1 for ranges of parameters). The default parameter values were measured from an actual patient scan. The effects of myocardium uptake level were simulated by configuring XCAT phantom with different tracer uptakes. The count rate effects were simulated by adding different levels of Poison noise in the simulated projection. The default parameters were determined based on an actual patient scan. Time-of-flight (TOF) effects were not included in this study. Results: The quantitative results showed that for both respiratory and cardiac data-driven method, myocardium uptake level and count rate affected the quantitative accuracy of extracted signal. The SDTD/HC for cardiac data-driven method was smaller than 6% in cases with myocardium/body uptake ratio>7 and count rate>100 counts/ms. The CC for respiratory data-driven method was larger than 0.7 in cases with myocardium/body uptake ratio>7 and count rate>40 counts/ms. Respiratory motion amplitude was shown to have minimal impact on the accuracy of cardiac data-driven method, while the accuracy of respiratory data-driven method decreased with amplitude smaller than 7 mm. Heart rate change degrades the accuracy of cardiac data-driven method without compensation. However, with previously proposed heart rate change compensation method, the influence of changing heart rate was significantly reduced. <b>Conclusions: </b>We have quantitatively studied multiple factors affecting the accuracy of data-driven methods. Results from this study could be used to predict the performance of data-driven gating methods on clinical data sets and provide guideline for its clinical application. While this study only focused on different uptake levels of FDG, the methodology could be applied to other tracers as well. Future study is required to study the benefits of additional TOF information." @default.
• W2103403358 created "2016-06-24" @default.
• W2103403358 creator A5014043048 @default.
• W2103403358 creator A5015275115 @default.
• W2103403358 creator A5016706909 @default.
• W2103403358 creator A5037527485 @default.
• W2103403358 creator A5049835220 @default.
• W2103403358 creator A5070458733 @default.
• W2103403358 creator A5071141746 @default.
• W2103403358 creator A5078240641 @default.
• W2103403358 date "2012-09-19" @default.
• W2103403358 modified "2023-10-11" @default.
• W2103403358 title "Low serum levels of vitamin D in idiopathic inflammatory myopathies" @default.
• W2103403358 cites W1552925034 @default.
• W2103403358 cites W1599146062 @default.
• W2103403358 cites W1654021243 @default.
• W2103403358 cites W184510336 @default.
• W2103403358 cites W1860657277 @default.
• W2103403358 cites W1947738344 @default.
• W2103403358 cites W1970849805 @default.
• W2103403358 cites W1972011377 @default.
• W2103403358 cites W1973717656 @default.
• W2103403358 cites W1978571168 @default.
• W2103403358 cites W1983316896 @default.
• W2103403358 cites W1991474032 @default.
• W2103403358 cites W1993344739 @default.
• W2103403358 cites W2006582605 @default.
• W2103403358 cites W2012954382 @default.
• W2103403358 cites W2013248652 @default.
• W2103403358 cites W2016914016 @default.
• W2103403358 cites W2017862162 @default.
• W2103403358 cites W2019957886 @default.
• W2103403358 cites W2021109112 @default.
• W2103403358 cites W2026506549 @default.
• W2103403358 cites W2031746740 @default.
• W2103403358 cites W2039709829 @default.
• W2103403358 cites W2044210747 @default.
• W2103403358 cites W2054647786 @default.
• W2103403358 cites W2054849381 @default.
• W2103403358 cites W2058824046 @default.
• W2103403358 cites W2069865460 @default.
• W2103403358 cites W2070891612 @default.
• W2103403358 cites W2082400137 @default.
• W2103403358 cites W2083373216 @default.
• W2103403358 cites W2084861994 @default.
• W2103403358 cites W2086068024 @default.
• W2103403358 cites W2088001182 @default.
• W2103403358 cites W2091625553 @default.
• W2103403358 cites W2098369481 @default.
• W2103403358 cites W2104077617 @default.
• W2103403358 cites W2108971388 @default.
• W2103403358 cites W2115880208 @default.
• W2103403358 cites W2115891889 @default.
• W2103403358 cites W2119739932 @default.
• W2103403358 cites W2129869235 @default.
• W2103403358 cites W2135878618 @default.
• W2103403358 cites W2142544310 @default.
• W2103403358 cites W2147964115 @default.
• W2103403358 cites W2156264518 @default.
• W2103403358 cites W2314311014 @default.
• W2103403358 cites W2409194525 @default.
• W2103403358 doi "https://doi.org/10.1136/annrheumdis-2012-201849" @default.
• W2103403358 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/22993226" @default.
• W2103403358 hasPublicationYear "2012" @default.
• W2103403358 type Work @default.
• W2103403358 sameAs 2103403358 @default.
• W2103403358 citedByCount "42" @default.
• W2103403358 countsByYear W21034033582013 @default.
• W2103403358 countsByYear W21034033582014 @default.
• W2103403358 countsByYear W21034033582015 @default.
• W2103403358 countsByYear W21034033582016 @default.
• W2103403358 countsByYear W21034033582017 @default.
• W2103403358 countsByYear W21034033582018 @default.
• W2103403358 countsByYear W21034033582019 @default.
• W2103403358 countsByYear W21034033582020 @default.
• W2103403358 countsByYear W21034033582021 @default.
• W2103403358 countsByYear W21034033582022 @default.
• W2103403358 countsByYear W21034033582023 @default.
• W2103403358 crossrefType "journal-article" @default.
• W2103403358 hasAuthorship W2103403358A5014043048 @default.
• W2103403358 hasAuthorship W2103403358A5015275115 @default.
• W2103403358 hasAuthorship W2103403358A5016706909 @default.
• W2103403358 hasAuthorship W2103403358A5037527485 @default.
• W2103403358 hasAuthorship W2103403358A5049835220 @default.
• W2103403358 hasAuthorship W2103403358A5070458733 @default.
• W2103403358 hasAuthorship W2103403358A5071141746 @default.
• W2103403358 hasAuthorship W2103403358A5078240641 @default.
• W2103403358 hasBestOaLocation W21034033581 @default.
• W2103403358 hasConcept C104293457 @default.
• W2103403358 hasConcept C106131492 @default.
• W2103403358 hasConcept C11413529 @default.
• W2103403358 hasConcept C126322002 @default.
• W2103403358 hasConcept C136229726 @default.
• W2103403358 hasConcept C140779682 @default.
• W2103403358 hasConcept C194544171 @default.
• W2103403358 hasConcept C199360897 @default.
• W2103403358 hasConcept C2779843651 @default.
• W2103403358 hasConcept C2989005 @default.

• next