Visualization of Normal Pulmonary Fissures on Sagittal Multiplanar Reconstruction MDCT-Reference-Cited by-同舟云学术

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Visualization of Normal Pulmonary Fissures on Sagittal Multiplanar Reconstruction MDCT

Published:2006-08 Issue:2 Volume:187 Page:389-397
ISSN:0361-803X
Container-title:American Journal of Roentgenology
language:en
Short-container-title:American Journal of Roentgenology

Author:

Takahashi Koji,Thompson Brad,Stanford William,Sato Yutaka,Nagasawa Kenichi,Sato Hiroaki,Kubota Makoto,Kashiba Ayako,Sugimori Hiroyuki

Publisher

American Roentgen Ray Society

Subject

Radiology Nuclear Medicine and imaging,General Medicine

Reference16 articles.

1. Multislice helical CT: the value of multiplanar image reconstruction in assessment of the bronchi and small airways disease

2. Quint LE, Whyte RI, Kazerooni EA, et al. Stenosis of the central airways: evaluation by using helical CT with multiplanar reconstructions.Radiology1995; 194:871-877

3. Diagnosis of central pulmonary embolism with helical CT: role of two-dimensional multiplanar reformations.

4. Multiplanar display of spiral CT data of the pulmonary hila in patients with lung cancer

5. Helical CT of diaphragmatic rupture caused by blunt trauma.

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparison of the rebuilding effects of different computed tomography scanners and reconstructive settings for the five-line sign in normal interlobular fissures;European Radiology Experimental;2017-10-19

2. The Accuracy of Computed Tomography to Predict Completeness of Pulmonary Fissures. A Prospective Study;Annals of the American Thoracic Society;2015-05

3. Emphysema: Imaging for Endoscopic Lung Volume Reduction;RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren;2015-04-21

4. Conditions and Mechanism for the Appearance of Interlobar Fissures as 5-Line Signs in Axial Maximum Intensity Projection Images;Journal of Computer Assisted Tomography;2014

5. Automatic pulmonary fissure detection and lobe segmentation in CT chest images;BioMedical Engineering OnLine;2014

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