Innovative advances in pediatric radiology: computed tomography reconstruction techniques, photon-counting detector computed tomography, and beyond

Kutanzi KR, Lumen A, Koturbash I, Miousse IR (2016) Pediatric exposures to ionizing radiation: carcinogenic considerations. Int J Environ Res Public Health 13:1057. https://doi.org/10.3390/ijerph13111057

Article  CAS  PubMed  PubMed Central  Google Scholar 

Nagy E, Tschauner S, Schramek C, Sorantin E (2023) Paediatric CT made easy. Pediatr Radiol 53:581–588. https://doi.org/10.1007/s00247-022-05526-0

Article  PubMed  Google Scholar 

Bernhardt P, Lendl M, Deinzer F (2006) New technologies to reduce pediatric radiation doses. Pediatr Radiol 36:212–215. https://doi.org/10.1007/s00247-006-0212-4

Article  PubMed  PubMed Central  Google Scholar 

Geyer LL, Schoepf UJ, Meinel FG et al (2015) State of the art: iterative CT reconstruction techniques. Radiology 276:339–357. https://doi.org/10.1148/radiol.2015132766

Article  PubMed  Google Scholar 

den Harder AM, Willemink MJ, Budde RP et al (2015) Hybrid and model-based iterative reconstruction techniques for pediatric CT. AJR Am J Roentgenol 204:645–653. https://doi.org/10.2214/AJR.14.12590

Article  Google Scholar 

Gomi T, Sakai R, Goto M et al (2016) Comparison of reconstruction algorithms for decreasing the exposure dose during digital tomosynthesis for arthroplasty: a phantom study. J Digit Imaging 29:488–495. https://doi.org/10.1007/s10278-016-9876-y

Article  PubMed  PubMed Central  Google Scholar 

Nagayama Y, Sakabe D, Goto M et al (2021) Deep learning-based reconstruction for lower-dose pediatric CT: technical principles, image characteristics, and clinical implementations. Radiographics 41:1936–1953. https://doi.org/10.1148/rg.2021210105

Article  PubMed  Google Scholar 

Cao J, Bache S, Schwartz FR, Frush D (2023) Pediatric applications of photon-counting detector CT. AJR Am J Roentgenol 220:580–589. https://doi.org/10.2214/AJR.22.28391

Article  PubMed  Google Scholar 

Willemink MJ, Persson M, Pourmorteza A et al (2018) Photon-counting CT: technical principles and clinical prospects. Radiology 289:293–312. https://doi.org/10.1148/radiol.2018172656

Article  PubMed  Google Scholar 

Calderoni F, Campanaro F, Colombo PE et al (2019) Analysis of a multicentre cloud-based CT dosimetric database: preliminary results. Eur Radiol Exp 3:27. https://doi.org/10.1186/s41747-019-0105-6

Article  PubMed  PubMed Central  Google Scholar 

Nagayama Y, Oda S, Nakaura T et al (2018) Radiation dose reduction at pediatric CT: use of low tube voltage and iterative reconstruction. Radiographics 38:1421–1440. https://doi.org/10.1148/rg.2018180041

Article  PubMed  Google Scholar 

Willemink MJ, Noel PB (2019) The evolution of image reconstruction for CT-from filtered back projection to artificial intelligence. Eur Radiol 29:2185–2195. https://doi.org/10.1007/s00330-018-5810-7

Article  PubMed  Google Scholar 

Atri PK, Sodhi KS, Bhatia A et al (2021) Model-based iterative reconstruction in paediatric head computed tomography: a pilot study on dose reduction in children. Pol J Radiol 86:e504–e510. https://doi.org/10.5114/pjr.2021.108884

Article  PubMed  PubMed Central  Google Scholar 

Southard RN, Bardo DME, Temkit MH et al (2019) Comparison of iterative model reconstruction versus filtered back-projection in pediatric emergency head CT: dose, image quality, and image-reconstruction times. AJNR Am J Neuroradiol 40:866–871. https://doi.org/10.3174/ajnr.A6034

Article  CAS  PubMed  PubMed Central  Google Scholar 

LeCun Y, Bengio Y, Hinton G (2015) Deep learning. Nature 521:436–444. https://doi.org/10.1038/nature14539

Article  CAS  PubMed  Google Scholar 

Yamashita R, Nishio M, Do RKG, Togashi K (2018) Convolutional neural networks: an overview and application in radiology. Insights Imaging 9:611–629. https://doi.org/10.1007/s13244-018-0639-9

Article  PubMed  PubMed Central  Google Scholar 

Battleday RM, Peterson JC, Griffiths TL (2021) From convolutional neural networks to models of higher-level cognition (and back again). Ann N Y Acad Sci 1505:55–78. https://doi.org/10.1111/nyas.14593

Article  PubMed  PubMed Central  Google Scholar 

Vaishnav JY, Jung WC, Popescu LM et al (2014) Objective assessment of image quality and dose reduction in CT iterative reconstruction. Med Phys 41:071904. https://doi.org/10.1118/1.4881148

Article  CAS  PubMed  Google Scholar 

Sun J, Li H, Wang B et al (2021) Application of a deep learning image reconstruction (DLIR) algorithm in head CT imaging for children to improve image quality and lesion detection. BMC Med Imaging 21:108. https://doi.org/10.1186/s12880-021-00637-w

Article  PubMed  PubMed Central  Google Scholar 

Li Y, Liu X, Zhuang XH et al (2022) Assessment of low-dose paranasal sinus CT imaging using a new deep learning image reconstruction technique in children compared to adaptive statistical iterative reconstruction V (ASiR-V). BMC Med Imaging 22:106. https://doi.org/10.1186/s12880-022-00834-1

Article  PubMed  PubMed Central  Google Scholar 

Hee Kim K, Choo KS, Jin Nam K et al (2022) Cardiac CTA image quality of adaptive statistical iterative reconstruction-V versus deep learning reconstruction “TrueFidelity” in children with congenital heart disease. Medicine (Baltimore) 101:e31169. https://doi.org/10.1097/MD.0000000000031169

Article  CAS  PubMed  Google Scholar 

Zhang K, Shi X, Xie SS et al (2022) Deep learning image reconstruction in pediatric abdominal and chest computed tomography: a comparison of image quality and radiation dose. Quant Imaging Med Surg 12:3238–3250. https://doi.org/10.21037/qims-21-936

Article  PubMed  PubMed Central  Google Scholar 

Su B, Wen Y, Liu Y et al (2022) A deep learning method for eliminating head motion artifacts in computed tomography. Med Phys 49:411–419. https://doi.org/10.1002/mp.15354

Article  PubMed  Google Scholar 

Han T, Gong X, Feng F et al (2023) Privacy-preserving multi-source domain adaptation for medical data. IEEE J Biomed Health Inform 27:842–853. https://doi.org/10.1109/JBHI.2022.3175071

Article  PubMed  Google Scholar 

Thian YL, Ng DW, Hallinan J et al (2022) Effect of training data volume on performance of convolutional neural network pneumothorax classifiers. J Digit Imaging 35:881–892. https://doi.org/10.1007/s10278-022-00594-y

Article  PubMed  PubMed Central  Google Scholar 

Ghosh A, Jana ND, Mallik S, Zhao Z (2022) Designing optimal convolutional neural network architecture using differential evolution algorithm. Patterns (N Y) 3:100567. https://doi.org/10.1016/j.patter.2022.100567

Article  PubMed  Google Scholar 

Zech JR, Badgeley MA, Liu M et al (2018) Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: a cross-sectional study. PLoS Med 15:e1002683. https://doi.org/10.1371/journal.pmed.1002683

Article  PubMed  PubMed Central  Google Scholar 

Gerke S, Yeung S, Cohen IG (2020) Ethical and legal aspects of ambient intelligence in hospitals. JAMA 323:601–602. https://doi.org/10.1001/jama.2019.21699

Article  PubMed  Google Scholar 

Bartlett DJ, Koo CW, Bartholmai BJ et al (2019) High-resolution chest computed tomography imaging of the lungs: impact of 1024 matrix reconstruction and photon-counting detector computed tomography. Invest Radiol 54:129–137. https://doi.org/10.1097/RLI.0000000000000524

Article  PubMed  PubMed Central  Google Scholar 

Understanding the technology behind photon-counting CT. https://www.siemens-healthineers.com/tr/computed-tomography/technologies-and-innovations/photon-counting-ct. Accessed 12 November 2023

Tsiflikas I, Thater G, Ayx I et al (2023) Low dose pediatric chest computed tomography on a photon counting detector system - initial clinical experience. Pediatr Radiol 53:1057–1062. https://doi.org/10.1007/s00247-022-05584-4

Article  PubMed  PubMed Central  Google Scholar 

Horst KK, Yu L, McCollough CH et al (2023) Potential benefits of photon counting detector computed tomography in pediatric imaging. Br J Radiol. https://doi.org/10.1259/bjr.20230189

Article  PubMed  Google Scholar 

Esquivel A, Ferrero A, Mileto A et al (2022) Photon-counting detector CT: key points radiologists should know. Korean J Radiol 23:854–865. https://doi.org/10.3348/kjr.2022.0377

Article  PubMed  PubMed Central  Google Scholar 

Sandfort V, Persson M, Pourmorteza A et al (2021) Spectral photon-counting CT in cardiovascular imaging. J Cardiovasc Comput Tomogr 15:218–225. https://doi.org/10.1016/j.jcct.2020.12.005

Article  PubMed  Google Scholar 

Rajendran K, Voss BA, Zhou W et al (2020) Dose reduction for sinus and temporal bone imaging using photon-counting detector CT with an additional tin filter. Invest Radiol 55:91–100. https://doi.org/10.1097/RLI.0000000000000614

留言 (0)

沒有登入
gif