Segmentation of nodules on chest computed tomography for growth assessment

Several segmentation methods to evaluate growth of small isolated pulmonary nodules on chest computed tomography (CT) are presented. The segmentation methods are based on adaptively thresholding attenuation levels and use measures of nodule shape. The segmentation methods were first tested on a real...

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Published in:	Medical physics (Lancaster) Vol. 31; no. 4; pp. 839 - 848
Main Authors:	Mullally, William, Betke, Margrit, Wang, Jingbin, Ko, Jane P.
Format:	Journal Article
Language:	English
Published:	United States American Association of Physicists in Medicine 01.04.2004
Subjects:	3D algorithms Algorithms Artificial Intelligence cancer Computed radiography computed tomography computer aided analysis computerised tomography computer‐aided diagnosis Humans image segmentation Imaging, Three-Dimensional lung lung cancer medical image processing Neoplasm Staging - methods Pattern Recognition, Automated phantom study phantoms Phantoms, Imaging Physicists Radiographic Image Interpretation, Computer-Assisted - instrumentation Radiographic Image Interpretation, Computer-Assisted - methods Radiography, Thoracic - instrumentation Radiography, Thoracic - methods Radiologists Reproducibility of Results Sensitivity and Specificity shape analysis Solitary Pulmonary Nodule - classification Solitary Pulmonary Nodule - diagnostic imaging Solitary Pulmonary Nodule - pathology tumours volume effects lung cancer phantom study computed tomography volume effects 3D algorithms image segmentation shape analysis computer-aided diagnosis
ISSN:	0094-2405, 2473-4209
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Abstract	Several segmentation methods to evaluate growth of small isolated pulmonary nodules on chest computed tomography (CT) are presented. The segmentation methods are based on adaptively thresholding attenuation levels and use measures of nodule shape. The segmentation methods were first tested on a realistic chest phantom to evaluate their performance with respect to specific nodule characteristics. The segmentation methods were also tested on sequential CT scans of patients. The methods’ estimation of nodule growth were compared to the volume change calculated by a chest radiologist. The best method segmented nodules on average 43% smaller or larger than the actual nodule when errors were computed across all nodule variations on the phantom. Some methods achieved smaller errors when examined with respect to certain nodule properties. In particular, on the phantom individual methods segmented solid nodules to within 23% of their actual size and nodules with 60.7 mm3 volumes to within 14%. On the clinical data, none of the methods examined showed a statistically significant difference in growth estimation from the radiologist.
AbstractList	Several segmentation methods to evaluate growth of small isolated pulmonary nodules on chest computed tomography (CT) are presented. The segmentation methods are based on adaptively thresholding attenuation levels and use measures of nodule shape. The segmentation methods were first tested on a realistic chest phantom to evaluate their performance with respect to specific nodule characteristics. The segmentation methods were also tested on sequential CT scans of patients. The methods' estimation of nodule growth were compared to the volume change calculated by a chest radiologist. The best method segmented nodules on average 43% smaller or larger than the actual nodule when errors were computed across all nodule variations on the phantom. Some methods achieved smaller errors when examined with respect to certain nodule properties. In particular, on the phantom individual methods segmented solid nodules to within 23% of their actual size and nodules with 60.7 mm3 volumes to within 14%. On the clinical data, none of the methods examined showed a statistically significant difference in growth estimation from the radiologist. Several segmentation methods to evaluate growth of small isolated pulmonary nodules on chest computed tomography (CT) are presented. The segmentation methods are based on adaptively thresholding attenuation levels and use measures of nodule shape. The segmentation methods were first tested on a realistic chest phantom to evaluate their performance with respect to specific nodule characteristics. The segmentation methods were also tested on sequential CT scans of patients. The methods' estimation of nodule growth were compared to the volume change calculated by a chest radiologist. The best method segmented nodules on average 43% smaller or larger than the actual nodule when errors were computed across all nodule variations on the phantom. Some methods achieved smaller errors when examined with respect to certain nodule properties. In particular, on the phantom individual methods segmented solid nodules to within 23% of their actual size and nodules with 60.7 mm 3 volumes to within 14%. On the clinical data, none of the methods examined showed a statistically significant difference in growth estimation from the radiologist. Several segmentation methods to evaluate growth of small isolated pulmonary nodules on chest computed tomography (CT) are presented. The segmentation methods are based on adaptively thresholding attenuation levels and use measures of nodule shape. The segmentation methods were first tested on a realistic chest phantom to evaluate their performance with respect to specific nodule characteristics. The segmentation methods were also tested on sequential CT scans of patients. The methods' estimation of nodule growth were compared to the volume change calculated by a chest radiologist. The best method segmented nodules on average 43% smaller or larger than the actual nodule when errors were computed across all nodule variations on the phantom. Some methods achieved smaller errors when examined with respect to certain nodule properties. In particular, on the phantom individual methods segmented solid nodules to within 23% of their actual size and nodules with 60.7 mm3 volumes to within 14%. On the clinical data, none of the methods examined showed a statistically significant difference in growth estimation from the radiologist.Several segmentation methods to evaluate growth of small isolated pulmonary nodules on chest computed tomography (CT) are presented. The segmentation methods are based on adaptively thresholding attenuation levels and use measures of nodule shape. The segmentation methods were first tested on a realistic chest phantom to evaluate their performance with respect to specific nodule characteristics. The segmentation methods were also tested on sequential CT scans of patients. The methods' estimation of nodule growth were compared to the volume change calculated by a chest radiologist. The best method segmented nodules on average 43% smaller or larger than the actual nodule when errors were computed across all nodule variations on the phantom. Some methods achieved smaller errors when examined with respect to certain nodule properties. In particular, on the phantom individual methods segmented solid nodules to within 23% of their actual size and nodules with 60.7 mm3 volumes to within 14%. On the clinical data, none of the methods examined showed a statistically significant difference in growth estimation from the radiologist.
Author	Ko, Jane P. Betke, Margrit Wang, Jingbin Mullally, William
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Cites_doi	10.1118/1.1515762 10.1016/S0140-6736(99)06093-6 10.1109/42.650879 10.1016/S1076-6332(03)80115-0 10.1118/1.598605 10.1097/00004424-199404000-00013 10.1109/42.932744 10.1016/S0033-8389(22)00407-9 10.1148/radiology.218.1.r01ja39267 10.1117/1.602176 10.1118/1.1544679 10.1007/3-540-45468-3_13 10.1200/JCO.2000.18.10.2179 10.1148/radiology.217.1.r00oc33251 10.1148/radiology.212.2.r99au33561 10.3322/canjclin.49.1.8 10.1117/12.348494 10.1109/TMI.2003.817785 10.1148/radiographics.19.5.g99se181303 10.1016/S0033-8389(05)70177-9
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References	Armato, Giger, Moran, Blackburn, Doi, MacMahon (r16) 1999; 19 Ko, Betke (r21) 2001; 218 Hillman (r4) 2003; 10 Henschke, Yankelevitz, Libby, Kimmel (r3) 2002; 8 Kostis, Reeves, Yankelevitz, Henschke (r25) 2003; 22 Landis, Murray, Bolden, Wingo (r2) 1999; 49 Lee, Hara, Fujita, Itoh, Ishigaki (r22) 2001; 20 Henschke, McCauley, Yankelevitz, Naidich, McGuinness, Miettinen, Libby, Pasmantier, Koizumi, Altorki, Smith (r6) 1999; 354 Yankelevitz, Gupta, Zhao, Henschke (r7) 1999; 212 Gurcan, Sahiner, Petrick, Chan, Kazerooni, Cascade, Hadjiiski (r20) 2002; 29 Yankelevitz, Henschke (r29) 2000; 38 Schwartz, Ginsberg, DeCorato, Rothenberg, Einstein, Kijewski (r9) 2000; 18 Zhao, Reeves, Yankelevitz, Henschke (r12) 1999; 38 Armato, Altman, La Rivière (r15) 2003; 30 Zhao, Yankelevitz, Reeves, Henschke (r11) 1999; 26 Brown, McNitt-Gray, Mankovich, Goldin, Hiller, Wilson, Aberle (r17) 1997; 16 Yankelevitz, Reeves, Kostis, Zhao, Henschke (r8) 2000; 217 Giger, Bae, MacMahon (r19) 1994; 29 Naidich (r5) 1994; 32 2000; 18 2002; 29 2000; 38 1999; 19 1999; 49 2000; 217 1999; 38 1999; 26 2002; 8 1997; 16 1999; 212 1994; 29 1999; 354 2001; 218 2003; 30 2003; 10 1994; 32 2001; 20 2003; 22 e_1_2_1_20_1 e_1_2_1_23_1 e_1_2_1_24_1 e_1_2_1_21_1 e_1_2_1_22_1 e_1_2_1_27_1 Naidich D. P. (e_1_2_1_6_1) 1994; 32 e_1_2_1_28_1 e_1_2_1_25_1 e_1_2_1_26_1 e_1_2_1_29_1 e_1_2_1_7_1 e_1_2_1_8_1 e_1_2_1_30_1 Henschke C. I. (e_1_2_1_4_1) 2002; 8 e_1_2_1_5_1 e_1_2_1_3_1 e_1_2_1_12_1 e_1_2_1_13_1 e_1_2_1_10_1 e_1_2_1_2_1 e_1_2_1_11_1 e_1_2_1_16_1 e_1_2_1_17_1 e_1_2_1_14_1 e_1_2_1_15_1 e_1_2_1_9_1 e_1_2_1_18_1 e_1_2_1_19_1
References_xml	– volume: 20 start-page: 595 issn: 0278-0062 year: 2001 ident: r22 article-title: Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique publication-title: IEEE Trans. Med. Imaging – volume: 29 start-page: 2552 issn: 0094-2405 year: 2002 ident: r20 article-title: Lung nodule detection on thoracic computed tomography images: Preliminary evaluation of a computer-aided diagnosis system publication-title: Med. Phys. – volume: 18 start-page: 2179 issn: 0732-183X year: 2000 ident: r9 article-title: Evaluation of tumor measurements in oncology: Use of film-based and electronic techniques publication-title: J. Clin. Oncol. – volume: 22 start-page: 1259 issn: 0278-0062 year: 2003 ident: r25 article-title: Three-dimensional segmentation and growth-rate estimation of small pulmonary nodules in helical CT images. publication-title: IEEE Trans. Med. Imaging – volume: 19 start-page: 1303 issn: 0271-5333 year: 1999 ident: r16 article-title: Computerized detection of pulmonary nodules on CT scans publication-title: Radiographics – volume: 217 start-page: 251 issn: 0033-8419 year: 2000 ident: r8 article-title: Small pulmonary nodules: Volumetrically determined growth rates based on CT evaluation publication-title: Radiology – volume: 26 start-page: 889 issn: 0094-2405 year: 1999 ident: r11 article-title: Two-dimensional multi-criterion segmentation of pulmonary nodules on helical CT images publication-title: Med. Phys. – volume: 38 start-page: 471 issn: 0033-8389 year: 2000 ident: r29 article-title: Small solitary pulmonary nodules publication-title: Radiol. Clin. North Am. – volume: 32 start-page: 759 issn: 0033-8389 year: 1994 ident: r5 article-title: Helical computer tomography of the thorax publication-title: Radiol. Clin. North Am. – volume: 354 start-page: 99 issn: 0140-6736 year: 1999 ident: r6 article-title: Early Lung Cancer Action Project: Overall design and findings from baseline screening publication-title: Lancet – volume: 38 start-page: 1340 issn: 0091-3286 year: 1999 ident: r12 article-title: Three-dimensional multicriterion automatic segmentation of pulmonary nodules of helical computed tomography images publication-title: Opt. Eng. (Bellingham) – volume: 10 start-page: 349 issn: 1076-6332 year: 2003 ident: r4 article-title: Economic, legal, and ethical rationales for the ACRIN national lung screening trial of CT screening for lung cancer publication-title: Acad. Radiol. – volume: 30 start-page: 461 issn: 0094-2405 year: 2003 ident: r15 article-title: Automated detection of lung nodules in CT scans: Effect of image reconstruction algorithm publication-title: Med. Phys. – volume: 29 start-page: 459 issn: 0020-9996 year: 1994 ident: r19 article-title: Computerized detection of pulmonary nodules in computed tomography images publication-title: Invest. Radiol. – volume: 8 start-page: 47 issn: 0008-543X year: 2002 ident: r3 article-title: CT screening for lung cancer: The first ten years publication-title: Cancer (N.Y.) – volume: 49 start-page: 8 issn: 0007-9235 year: 1999 ident: r2 article-title: Cancer statistics, 1999 publication-title: CA Cancer J. Clin. – volume: 212 start-page: 561 issn: 0033-8419 year: 1999 ident: r7 article-title: Small pulmonary nodules: Evaluation with repeat CT—preliminary experience publication-title: Radiology – volume: 218 start-page: 267 issn: 0033-8419 year: 2001 ident: r21 article-title: Chest CT: Automated nodule detection and assessment of change over time—preliminary experience publication-title: Radiology – volume: 16 start-page: 828 issn: 0278-0062 year: 1997 ident: r17 article-title: Method for segmenting chest CT image data using an anatomical model: Preliminary results publication-title: IEEE Trans. Med. Imaging – volume: 29 start-page: 2552 year: 2002 end-page: 2558 article-title: Lung nodule detection on thoracic computed tomography images: Preliminary evaluation of a computer‐aided diagnosis system publication-title: Med. Phys. – volume: 32 start-page: 759 year: 1994 end-page: 774 article-title: Helical computer tomography of the thorax publication-title: Radiol. Clin. North Am. – volume: 38 start-page: 1340 year: 1999 end-page: 1347 article-title: Three‐dimensional multicriterion automatic segmentation of pulmonary nodules of helical computed tomography images publication-title: Opt. Eng. (Bellingham) – volume: 19 start-page: 1303 year: 1999 end-page: 1311 article-title: Computerized detection of pulmonary nodules on CT scans publication-title: Radiographics – volume: 212 start-page: 561 year: 1999 end-page: 566 article-title: Small pulmonary nodules: Evaluation with repeat CT—preliminary experience publication-title: Radiology – volume: 26 start-page: 889 year: 1999 end-page: 895 article-title: Two‐dimensional multi‐criterion segmentation of pulmonary nodules on helical CT images publication-title: Med. Phys. – volume: 217 start-page: 251 year: 2000 end-page: 256 article-title: Small pulmonary nodules: Volumetrically determined growth rates based on CT evaluation publication-title: Radiology – volume: 22 start-page: 1259 year: 2003 end-page: 1274 article-title: Three‐dimensional segmentation and growth‐rate estimation of small pulmonary nodules in helical CT images. publication-title: IEEE Trans. Med. Imaging – volume: 38 start-page: 471 year: 2000 end-page: 478 article-title: Small solitary pulmonary nodules publication-title: Radiol. Clin. North Am. – volume: 49 start-page: 8 year: 1999 end-page: 31 article-title: Cancer statistics, 1999 publication-title: CA Cancer J. Clin. – volume: 30 start-page: 461 year: 2003 end-page: 472 article-title: Automated detection of lung nodules in CT scans: Effect of image reconstruction algorithm publication-title: Med. Phys. – volume: 16 start-page: 828 year: 1997 end-page: 839 article-title: Method for segmenting chest CT image data using an anatomical model: Preliminary results publication-title: IEEE Trans. Med. Imaging – volume: 354 start-page: 99 year: 1999 end-page: 105 article-title: Early Lung Cancer Action Project: Overall design and findings from baseline screening publication-title: Lancet – volume: 18 start-page: 2179 year: 2000 end-page: 2184 article-title: Evaluation of tumor measurements in oncology: Use of film‐based and electronic techniques publication-title: J. Clin. Oncol. – volume: 29 start-page: 459 year: 1994 end-page: 465 article-title: Computerized detection of pulmonary nodules in computed tomography images publication-title: Invest. Radiol. – volume: 8 start-page: 47 year: 2002 end-page: 54 article-title: CT screening for lung cancer: The first ten years publication-title: Cancer (N.Y.) – volume: 218 start-page: 267 year: 2001 end-page: 273 article-title: Chest CT: Automated nodule detection and assessment of change over time—preliminary experience publication-title: Radiology – volume: 20 start-page: 595 year: 2001 end-page: 604 article-title: Automated detection of pulmonary nodules in helical CT images based on an improved template‐matching technique publication-title: IEEE Trans. Med. Imaging – volume: 10 start-page: 349 year: 2003 end-page: 350 article-title: Economic, legal, and ethical rationales for the ACRIN national lung screening trial of CT screening for lung cancer publication-title: Acad. Radiol. – ident: e_1_2_1_21_1 doi: 10.1118/1.1515762 – ident: e_1_2_1_7_1 doi: 10.1016/S0140-6736(99)06093-6 – ident: e_1_2_1_18_1 doi: 10.1109/42.650879 – volume: 8 start-page: 47 year: 2002 ident: e_1_2_1_4_1 article-title: CT screening for lung cancer: The first ten years publication-title: Cancer (N.Y.) – ident: e_1_2_1_5_1 doi: 10.1016/S1076-6332(03)80115-0 – ident: e_1_2_1_27_1 – ident: e_1_2_1_24_1 – ident: e_1_2_1_19_1 – ident: e_1_2_1_12_1 doi: 10.1118/1.598605 – ident: e_1_2_1_20_1 doi: 10.1097/00004424-199404000-00013 – ident: e_1_2_1_23_1 doi: 10.1109/42.932744 – volume: 32 start-page: 759 year: 1994 ident: e_1_2_1_6_1 article-title: Helical computer tomography of the thorax publication-title: Radiol. Clin. North Am. doi: 10.1016/S0033-8389(22)00407-9 – ident: e_1_2_1_29_1 – ident: e_1_2_1_22_1 doi: 10.1148/radiology.218.1.r01ja39267 – ident: e_1_2_1_13_1 doi: 10.1117/1.602176 – ident: e_1_2_1_15_1 – ident: e_1_2_1_16_1 doi: 10.1118/1.1544679 – ident: e_1_2_1_25_1 doi: 10.1007/3-540-45468-3_13 – ident: e_1_2_1_10_1 doi: 10.1200/JCO.2000.18.10.2179 – ident: e_1_2_1_9_1 doi: 10.1148/radiology.217.1.r00oc33251 – ident: e_1_2_1_11_1 – ident: e_1_2_1_2_1 – ident: e_1_2_1_8_1 doi: 10.1148/radiology.212.2.r99au33561 – ident: e_1_2_1_3_1 doi: 10.3322/canjclin.49.1.8 – ident: e_1_2_1_14_1 doi: 10.1117/12.348494 – ident: e_1_2_1_26_1 doi: 10.1109/TMI.2003.817785 – ident: e_1_2_1_17_1 doi: 10.1148/radiographics.19.5.g99se181303 – ident: e_1_2_1_28_1 – ident: e_1_2_1_30_1 doi: 10.1016/S0033-8389(05)70177-9
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SubjectTerms	3D algorithms Algorithms Artificial Intelligence cancer Computed radiography computed tomography computer aided analysis computerised tomography computer‐aided diagnosis Humans image segmentation Imaging, Three-Dimensional lung lung cancer medical image processing Neoplasm Staging - methods Pattern Recognition, Automated phantom study phantoms Phantoms, Imaging Physicists Radiographic Image Interpretation, Computer-Assisted - instrumentation Radiographic Image Interpretation, Computer-Assisted - methods Radiography, Thoracic - instrumentation Radiography, Thoracic - methods Radiologists Reproducibility of Results Sensitivity and Specificity shape analysis Solitary Pulmonary Nodule - classification Solitary Pulmonary Nodule - diagnostic imaging Solitary Pulmonary Nodule - pathology tumours volume effects
Title	Segmentation of nodules on chest computed tomography for growth assessment
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