Comput Methods Programs Biomed - Monte-Carlo simulations of clinically realistic respiratory gated (18)F-FDG PET: application to lesion detectability and volume measurements.

Tópicos

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Resumo

In PET/CT thoracic imaging, respiratory motion reduces image quality. A solution consists in performing respiratory gated PET acquisitions. The aim of this study was to generate clinically realistic Monte-Carlo respiratory PET data, obtained using the 4D-NCAT numerical phantom and the GATE simulation tool, to assess the impact of respiratory motion and respiratory-motion compensation in PET on lesion detection and volume measurement. To obtain reconstructed images as close as possible to those obtained in clinical conditions, a particular attention was paid to apply to the simulated data the same correction and reconstruction processes as those applied to real clinical data. The simulations required 140,000h (CPU) generating 1.5 To of data (98 respiratory gated and 49 ungated scans). Calibration phantom and patient reconstructed images from the simulated data were visually and quantitatively very similar to those obtained in clinical studies. The lesion detectability was higher when the better trade-off between lesion movement limitation (compared to ungated acquisitions) and image statistic preservation is considered (respiratory cycle sampling in 3 frames). We then compared the lesion volumes measured on conventional PET acquisitions versus respiratory gated acquisitions, using an automatic segmentation method and a 40%-threshold approach. A time consuming initial manual exclusion of noisy structures needed with the 40%-threshold was not necessary when the automatic method was used. The lesion detectability along with the accuracy of tumor volume estimates was largely improved with the gated compared to ungated PET images.

Resumo Limpo

petct thorac imag respiratori motion reduc imag qualiti solut consist perform respiratori gate pet acquisit aim studi generat clinic realist montecarlo respiratori pet data obtain use dncat numer phantom gate simul tool assess impact respiratori motion respiratorymot compens pet lesion detect volum measur obtain reconstruct imag close possibl obtain clinic condit particular attent paid appli simul data correct reconstruct process appli real clinic data simul requir h cpu generat data respiratori gate ungat scan calibr phantom patient reconstruct imag simul data visual quantit similar obtain clinic studi lesion detect higher better tradeoff lesion movement limit compar ungat acquisit imag statist preserv consid respiratori cycl sampl frame compar lesion volum measur convent pet acquisit versus respiratori gate acquisit use automat segment method threshold approach time consum initi manual exclus noisi structur need threshold necessari automat method use lesion detect along accuraci tumor volum estim larg improv gate compar ungat pet imag

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