Literature DB >> 28126630

Automatic detection and measurement of nuchal translucency.

Giuseppa Sciortino1, Domenico Tegolo2, Cesare Valenti3.   

Abstract

In this paper we propose a new methodology to support the physician both to identify automatically the nuchal region and to obtain a correct thickness measurement of the nuchal translucency. The thickness of the nuchal translucency is one of the main markers for screening of chromosomal defects such as trisomy 13, 18 and 21. Its measurement is performed during ultrasound scanning in the first trimester of pregnancy. The proposed methodology is mainly based on wavelet and multi resolution analysis. The performance of our method was analysed on 382 random frames, representing mid-sagittal sections, uniformly extracted from real clinical ultrasound videos of 12 patients. According to the ground-truth provided by an expert physician, we obtained a true positive rate equal to 99.95% with respect to the nuchal region detection and about 64% of measurements present an error equal to 1 pixel (which corresponds to 0.1mm), respectively.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  First trimester of pregnancy; Median sagittal section; Nuchal translucency; Ultrasound fetal examination; Wavelet analysis

Mesh:

Year:  2017        PMID: 28126630     DOI: 10.1016/j.compbiomed.2017.01.008

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  8 in total

1.  Neutrophil extracellular traps arm DC vaccination against NPM-mutant myeloproliferation.

Authors:  Claudio Tripodo; Barbara Bassani; Mario P Colombo; Sabina Sangaletti; Elena Jachetti; Valeria Cancila; Claudia Chiodoni; Paola Portararo; Laura Botti; Cesare Valenti; Milena Perrone; Maurilio Ponzoni; Patrizia Comoli; Mara Lecchi; Paolo Verderio; Antonio Curti
Journal:  Elife       Date:  2022-04-26       Impact factor: 8.713

2.  Fully Automatic Segmentation and Three-Dimensional Reconstruction of the Liver in CT Images.

Authors:  ZhenZhou Wang; Cunshan Zhang; Ticao Jiao; MingLiang Gao; Guofeng Zou
Journal:  J Healthc Eng       Date:  2018-11-18       Impact factor: 2.682

3.  Fully Convolutional DenseNet with Multiscale Context for Automated Breast Tumor Segmentation.

Authors:  Jinjin Hai; Kai Qiao; Jian Chen; Hongna Tan; Jingbo Xu; Lei Zeng; Dapeng Shi; Bin Yan
Journal:  J Healthc Eng       Date:  2019-01-14       Impact factor: 2.682

Review 4.  Artificial Intelligence in Prenatal Ultrasound Diagnosis.

Authors:  Fujiao He; Yaqin Wang; Yun Xiu; Yixin Zhang; Lizhu Chen
Journal:  Front Med (Lausanne)       Date:  2021-12-16

5.  Using deep-learning in fetal ultrasound analysis for diagnosis of cystic hygroma in the first trimester.

Authors:  Mark C Walker; Inbal Willner; Olivier X Miguel; Malia S Q Murphy; Darine El-Chaâr; Felipe Moretti; Alysha L J Dingwall Harvey; Ruth Rennicks White; Katherine A Muldoon; André M Carrington; Steven Hawken; Richard I Aviv
Journal:  PLoS One       Date:  2022-06-22       Impact factor: 3.752

6.  Mutant p53 induces Golgi tubulo-vesiculation driving a prometastatic secretome.

Authors:  Lorenzo Bascetta; Marco Fantuz; Valeria Capaci; Galina V Beznoussenko; Roberta Sommaggio; Valeria Cancila; Andrea Bisso; Elena Campaner; Alexander A Mironov; Jacek R Wiśniewski; Luisa Ulloa Severino; Denis Scaini; Fleur Bossi; Jodi Lees; Noa Alon; Ledia Brunga; David Malkin; Silvano Piazza; Licio Collavin; Antonio Rosato; Silvio Bicciato; Claudio Tripodo; Fiamma Mantovani; Giannino Del Sal
Journal:  Nat Commun       Date:  2020-08-07       Impact factor: 14.919

7.  Intra-tumour heterogeneity of diffuse large B-cell lymphoma involves the induction of diversified stroma-tumour interfaces.

Authors:  Sabina Sangaletti; Fabio Iannelli; Federica Zanardi; Valeria Cancila; Paola Portararo; Laura Botti; Davide Vacca; Claudia Chiodoni; Arianna Di Napoli; Cesare Valenti; Celeste Rizzello; Maria Carmela Vegliante; Federica Pisati; Alessandro Gulino; Maurilio Ponzoni; Mario Paolo Colombo; Claudio Tripodo
Journal:  EBioMedicine       Date:  2020-10-20       Impact factor: 8.143

8.  LinguAPP: An m-Health Application for Teledentistry Diagnostics.

Authors:  Matia Fazio; Christian Lombardo; Giuseppe Marino; Anand Marya; Pietro Messina; Giuseppe Alessandro Scardina; Antonino Tocco; Francesco Torregrossa; Cesare Valenti
Journal:  Int J Environ Res Public Health       Date:  2022-01-12       Impact factor: 3.390

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.