Literature DB >> 18296763

Effect of CT scanning parameters on volumetric measurements of pulmonary nodules by 3D active contour segmentation: a phantom study.

Ted W Way1, Heang-Ping Chan, Mitchell M Goodsitt, Berkman Sahiner, Lubomir M Hadjiiski, Chuan Zhou, Aamer Chughtai.   

Abstract

The purpose of this study is to investigate the effects of CT scanning and reconstruction parameters on automated segmentation and volumetric measurements of nodules in CT images. Phantom nodules of known sizes were used so that segmentation accuracy could be quantified in comparison to ground-truth volumes. Spherical nodules having 4.8, 9.5 and 16 mm diameters and 50 and 100 mg cc(-1) calcium contents were embedded in lung-tissue-simulating foam which was inserted in the thoracic cavity of a chest section phantom. CT scans of the phantom were acquired with a 16-slice scanner at various tube currents, pitches, fields-of-view and slice thicknesses. Scans were also taken using identical techniques either within the same day or five months apart for study of reproducibility. The phantom nodules were segmented with a three-dimensional active contour (3DAC) model that we previously developed for use on patient nodules. The percentage volume errors relative to the ground-truth volumes were estimated under the various imaging conditions. There was no statistically significant difference in volume error for repeated CT scans or scans taken with techniques where only pitch, field of view, or tube current (mA) were changed. However, the slice thickness significantly (p < 0.05) affected the volume error. Therefore, to evaluate nodule growth, consistent imaging conditions and high resolution should be used for acquisition of the serial CT scans, especially for smaller nodules. Understanding the effects of scanning and reconstruction parameters on volume measurements by 3DAC allows better interpretation of data and assessment of growth. Tracking nodule growth with computerized segmentation methods would reduce inter- and intraobserver variabilities.

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Year:  2008        PMID: 18296763      PMCID: PMC2728556          DOI: 10.1088/0031-9155/53/5/009

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  35 in total

1.  Guidelines for management of small pulmonary nodules detected on CT scans: a statement from the Fleischner Society.

Authors:  Heber MacMahon; John H M Austin; Gordon Gamsu; Christian J Herold; James R Jett; David P Naidich; Edward F Patz; Stephen J Swensen
Journal:  Radiology       Date:  2005-11       Impact factor: 11.105

2.  Computer aided characterization of the solitary pulmonary nodule using volumetric and contrast enhancement features.

Authors:  Sumit K Shah; Michael F McNitt-Gray; Sarah R Rogers; Jonathan G Goldin; Robert D Suh; James W Sayre; Iva Petkovska; Hyun J Kim; Denise R Aberle
Journal:  Acad Radiol       Date:  2005-10       Impact factor: 3.173

3.  Volumetric measurement of synthetic lung nodules with multi-detector row CT: effect of various image reconstruction parameters and segmentation thresholds on measurement accuracy.

Authors:  Jin Mo Goo; Trongtum Tongdee; Ranista Tongdee; Kwangjae Yeo; Charles F Hildebolt; Kyongtae T Bae
Journal:  Radiology       Date:  2005-06       Impact factor: 11.105

4.  Interobserver and intraobserver variability in the assessment of pulmonary nodule size on CT using film and computer display methods.

Authors:  Naama R Bogot; Ella A Kazerooni; Aine M Kelly; Leslie E Quint; Benoit Desjardins; Bin Nan
Journal:  Acad Radiol       Date:  2005-08       Impact factor: 3.173

5.  Computer-aided diagnosis of pulmonary nodules on CT scans: segmentation and classification using 3D active contours.

Authors:  Ted W Way; Lubomir M Hadjiiski; Berkman Sahiner; Heang-Ping Chan; Philip N Cascade; Ella A Kazerooni; Naama Bogot; Chuan Zhou
Journal:  Med Phys       Date:  2006-07       Impact factor: 4.071

6.  Evaluation of lung MDCT nodule annotation across radiologists and methods.

Authors:  Charles R Meyer; Timothy D Johnson; Geoffrey McLennan; Denise R Aberle; Ella A Kazerooni; Heber Macmahon; Brian F Mullan; David F Yankelevitz; Edwin J R van Beek; Samuel G Armato; Michael F McNitt-Gray; Anthony P Reeves; David Gur; Claudia I Henschke; Eric A Hoffman; Peyton H Bland; Gary Laderach; Richie Pais; David Qing; Chris Piker; Junfeng Guo; Adam Starkey; Daniel Max; Barbara Y Croft; Laurence P Clarke
Journal:  Acad Radiol       Date:  2006-10       Impact factor: 3.173

7.  Small pulmonary nodules: evaluation with repeat CT--preliminary experience.

Authors:  D F Yankelevitz; R Gupta; B Zhao; C I Henschke
Journal:  Radiology       Date:  1999-08       Impact factor: 11.105

8.  Accuracy of the CT numbers of simulated lung nodules imaged with multi-detector CT scanners.

Authors:  Mitchell M Goodsitt; Heang-Ping Chan; Ted W Way; Sandra C Larson; Emmanuel G Christodoulou; Jeomsoon Kim
Journal:  Med Phys       Date:  2006-08       Impact factor: 4.071

9.  Computer-aided detection of lung nodules: false positive reduction using a 3D gradient field method and 3D ellipsoid fitting.

Authors:  Zhanyu Ge; Berkman Sahiner; Heang-Ping Chan; Lubomir M Hadjiiski; Philip N Cascade; Naama Bogot; Ella A Kazerooni; Jun Wei; Chuan Zhou
Journal:  Med Phys       Date:  2005-08       Impact factor: 4.071

10.  Early Lung Cancer Action Project: overall design and findings from baseline screening.

Authors:  C I Henschke; D I McCauley; D F Yankelevitz; D P Naidich; G McGuinness; O S Miettinen; D M Libby; M W Pasmantier; J Koizumi; N K Altorki; J P Smith
Journal:  Lancet       Date:  1999-07-10       Impact factor: 79.321

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  17 in total

Review 1.  Noncalcified lung nodules: volumetric assessment with thoracic CT.

Authors:  Marios A Gavrielides; Lisa M Kinnard; Kyle J Myers; Nicholas Petrick
Journal:  Radiology       Date:  2009-04       Impact factor: 11.105

2.  Imprecision in automated volume measurements of pulmonary nodules and its effect on the level of uncertainty in volume doubling time estimation.

Authors:  Paul J Nietert; James G Ravenel; William M Leue; James V Miller; Katherine K Taylor; Elizabeth S Garrett-Mayer; Gerard A Silvestri
Journal:  Chest       Date:  2009-01-13       Impact factor: 9.410

3.  Computer-aided diagnosis of pulmonary nodules on CT scans: improvement of classification performance with nodule surface features.

Authors:  Ted W Way; Berkman Sahiner; Heang-Ping Chan; Lubomir Hadjiiski; Philip N Cascade; Aamer Chughtai; Naama Bogot; Ella Kazerooni
Journal:  Med Phys       Date:  2009-07       Impact factor: 4.071

4.  Computer-aided diagnosis systems for lung cancer: challenges and methodologies.

Authors:  Ayman El-Baz; Garth M Beache; Georgy Gimel'farb; Kenji Suzuki; Kazunori Okada; Ahmed Elnakib; Ahmed Soliman; Behnoush Abdollahi
Journal:  Int J Biomed Imaging       Date:  2013-01-29

5.  Effect of various environments and computed tomography scanning parameters on renal volume measurements in vitro: A phantom study.

Authors:  Wangyan Liu; Yinsu Zhu; Lijun Tang; Xiaomei Zhu; Yi Xu; Guanyu Yang
Journal:  Exp Ther Med       Date:  2016-06-01       Impact factor: 2.447

Review 6.  Volume versus diameter assessment of small pulmonary nodules in CT lung cancer screening.

Authors:  Daiwei Han; Marjolein A Heuvelmans; Matthijs Oudkerk
Journal:  Transl Lung Cancer Res       Date:  2017-02

7.  Exploring Variability in CT Characterization of Tumors: A Preliminary Phantom Study.

Authors:  Binsheng Zhao; Yongqiang Tan; Wei Yann Tsai; Lawrence H Schwartz; Lin Lu
Journal:  Transl Oncol       Date:  2014-02-01       Impact factor: 4.243

8.  Longitudinal volume analysis from computed tomography: Reproducibility using adrenal glands as surrogate tumors.

Authors:  Nicolas D Prionas; Marijo A Gillen; John M Boone
Journal:  J Med Phys       Date:  2010-07

9.  Morphometrical dimensions of the sheep thoracolumbar vertebrae as seen on digitised CT images.

Authors:  Mahmoud Mageed; Dagmar Berner; Henriette Jülke; Christian Hohaus; Walter Brehm; Kerstin Gerlach
Journal:  Lab Anim Res       Date:  2013-09-27

10.  Pathologic categorization of lung nodules: Radiomic descriptors of CT attenuation distribution patterns of solid and subsolid nodules in low-dose CT.

Authors:  Chuan Zhou; Heang-Ping Chan; Aamer Chughtai; Lubomir M Hadjiiski; Ella A Kazerooni; Jun Wei
Journal:  Eur J Radiol       Date:  2020-05-31       Impact factor: 3.528

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