Literature DB >> 3659392

The double-fissure sign: a motion artifact on thin-section CT scans.

J R Mayo1, N L Müller, R M Henkelman.   

Abstract

A motion artifact has been observed that may affect the number of fine interstitial lines seen at thin-section (1.5-mm-collimation) computed tomography (CT) for the evaluation of interstitial lung disease. In 14 of 42 patients, one or both major fissures appeared as two parallel lines rather than as a single line. This was more common in the left lung base. Using a phantom, the authors were able to reproduce the phenomenon by simulating cardiac motion. Therefore, this motion may lead to an artifactual increase in the number of interstitial lines.

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Year:  1987        PMID： 3659392     DOI： 10.1148/radiology.165.2.3659392

Source DB:  PubMed          Journal:  Radiology        ISSN： 0033-8419            Impact factor:   11.105


  5 in total

1.  A method to evaluate dose errors introduced by dose mapping processes for mass conserving deformations.

Authors:  C Yan; G Hugo; F J Salguero; N Saleh-Sayah; E Weiss; W C Sleeman; J V Siebers
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

2.  Thoracic target volume delineation using various maximum-intensity projection computed tomography image sets for radiotherapy treatment planning.

Authors:  David A Zamora; Adam C Riegel; Xiaojun Sun; Peter Balter; George Starkschall; Osama Mawlawi; Tinsu Pan
Journal:  Med Phys       Date:  2010-11       Impact factor: 4.071

3.  Electrocardiography-triggered high-resolution CT for reducing cardiac motion artifact: evaluation of the extent of ground-glass attenuation in patients with idiopathic pulmonary fibrosis.

Authors:  Motoko Nishiura; Takeshi Johkoh; Shuji Yamamoto; Osamu Honda; Takenori Kozuka; Mitsuhiro Koyama; Noriyuki Tomiyama; Seiki Hamada; Takamichi Murakami; Takashi Matsumoto; Yoshifumi Narumi; Hironobu Nakamura
Journal:  Radiat Med       Date:  2007-12-25

4.  3D Kinect Camera Scheme with Time-Series Deep-Learning Algorithms for Classification and Prediction of Lung Tumor Motility.

Authors:  Utumporn Puangragsa; Jiraporn Setakornnukul; Pittaya Dankulchai; Pattarapong Phasukkit
Journal:  Sensors (Basel)       Date:  2022-04-11       Impact factor: 3.847

5.  Performance Validation of In-House Developed Four-dimensional Dynamic Phantom.

Authors:  Rahul Kumar Chaudhary; Rajesh Kumar; S D Sharma; Soumen Bera; Vikram Mittal; Sudesh Deshpande
Journal:  J Med Phys       Date:  2019 Apr-Jun
  5 in total

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