Abstract:
OBJECTIVE:Quantitative PET/MR imaging is challenged by the accuracy of synthetic CT (sCT) generation from MR images. Deep learning-based algorithms have recently gained momentum for a number of medical image analysis applications. In this work, a novel sCT generation algorithm based on deep learning adversarial semantic structure (DL-AdvSS) is proposed for MRI-guided attenuation correction in brain PET/MRI. MATERIALS AND METHODS:The proposed DL-AdvSS algorithm exploits the ASS learning framework to constrain the synthetic CT generation process to comply with the extracted structural features from CT images. The proposed technique was evaluated through comparison to an atlas-based sCT generation method (Atlas), previously developed for MRI-only or PET/MRI-guided radiation planning. Moreover, the commercial segmentation-based approach (Segm) implemented on the Philips TF PET/MRI system was included in the evaluation. Clinical brain studies of 40 patients who underwent PET/CT and MR imaging were used for the evaluation of the proposed method under a two-fold cross validation scheme. RESULTS:The accuracy of cortical bone extraction and CT value estimation were investigated for the three different methods. Atlas and DL-AdvSS exhibited similar cortical bone extraction accuracy resulting in a Dice coefficient of 0.78 ± 0.07 and 0.77 ± 0.07, respectively. Likewise, DL-AdvSS and Atlas techniques performed similarly in terms of CT value estimation in the cortical bone region where a mean error (ME) of less than -11 HU was obtained. The Segm approach led to a ME of -1025 HU. Furthermore, the quantitative analysis of corresponding PET images using the three approaches assuming the CT-based attenuation corrected PET (PETCTAC) as reference demonstrated comparative performance of DL-AdvSS and Atlas techniques with a mean standardized uptake value (SUV) bias less than 4% in 63 brain regions. In addition, less that 2% SUV bias was observed in the cortical bone when using Atlas and DL-AdvSS approaches. However, Segm resulted in 14.7 ± 8.9% SUV underestimation in the cortical bone. CONCLUSION:The proposed DL-AdvSS approach demonstrated competitive performance with respect to the state-of-the-art atlas-based technique achieving clinically tolerable errors, thus outperforming the commercial segmentation approach used in the clinic.
journal_name
Eur J Nucl Med Mol Imagingauthors
Arabi H,Zeng G,Zheng G,Zaidi Hdoi
10.1007/s00259-019-04380-xsubject
Has Abstractpub_date
2019-12-01 00:00:00pages
2746-2759issue
13eissn
1619-7070issn
1619-7089pii
10.1007/s00259-019-04380-xjournal_volume
46pub_type
杂志文章abstract:PURPOSE:The aim of this study is to report on a collective of 20 children from Belarus who had developed papillary thyroid carcinoma with pulmonary metastases after the Chernobyl disaster. In all children fractionated radioiodine therapy (RIT) was ceased before achieving complete remission due to a lack of further effe...
journal_title:European journal of nuclear medicine and molecular imaging
pub_type: 临床试验,杂志文章
doi:10.1007/s00259-010-1669-9
更新日期:2011-04-01 00:00:00
abstract:PURPOSE/BACKGROUND:[18F]fluoroethylcholine (18FECH) has been shown to be a valuable PET-tracer in recurrent prostate cancer (PCa), but still has limited accuracy. RM2 is a gastrin-releasing peptide receptor (GRPr) antagonist that binds to GRPr on PCa cells. Recent studies suggest that GRPr imaging with PET/CT is a prom...
journal_title:European journal of nuclear medicine and molecular imaging
pub_type: 杂志文章
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更新日期:2017-08-01 00:00:00
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journal_title:European journal of nuclear medicine and molecular imaging
pub_type: 临床试验,杂志文章
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更新日期:2011-03-01 00:00:00
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journal_title:European journal of nuclear medicine and molecular imaging
pub_type: 杂志文章
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更新日期:2021-01-01 00:00:00
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journal_title:European journal of nuclear medicine and molecular imaging
pub_type: 临床试验,杂志文章,随机对照试验
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pub_type: 临床试验,杂志文章
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journal_title:European journal of nuclear medicine and molecular imaging
pub_type: 临床试验,杂志文章
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journal_title:European journal of nuclear medicine and molecular imaging
pub_type: 临床试验,杂志文章
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journal_title:European journal of nuclear medicine and molecular imaging
pub_type: 杂志文章
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更新日期:2007-08-01 00:00:00
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journal_title:European journal of nuclear medicine and molecular imaging
pub_type: 杂志文章
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更新日期:2015-08-01 00:00:00
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更新日期:2002-09-01 00:00:00
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journal_title:European journal of nuclear medicine and molecular imaging
pub_type: 杂志文章
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pub_type: 杂志文章
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journal_title:European journal of nuclear medicine and molecular imaging
pub_type: 杂志文章
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journal_title:European journal of nuclear medicine and molecular imaging
pub_type: 杂志文章
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更新日期:2003-02-01 00:00:00
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pub_type: 临床试验,杂志文章
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更新日期:2010-07-01 00:00:00