Characterization of Small Nodules by Automatic Segmentation of X-ray Computed Tomography Images

Journal of Computer Assisted Tomography

Volumn 28, Issue 3, 2004, Pages 372-377

  Tao, Peng ^a   Griess, Friederike ^a   Lvov, Yelena ^a   Mineyev, Mikhail ^a   Zhao, Binsheng ^b   Levin, David ^c   Kaufman, Leon ^d,e  

^a AccuImage Diagnostics Corporation   (United States)

^b MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e NONE   (United States)

Author keywords

Automatic segmentation; Lung nodule

Indexed keywords

BIOLOGICAL ORGANS; COMPUTERIZED TOMOGRAPHY; IMAGE SEGMENTATION;

AUTOMATIC SEGMENTATIONS; COMPUTED TOMOGRAPHY IMAGES; EFFECTIVE DIAMETER; LUNG NODULE; LUNG NODULE SEGMENTATION; PHANTOMS; SEGMENTATION ALGORITHMS; SLICE THICKNESS; SMALL NODULES; X-RAY COMPUTED TOMOGRAPHY;

VOLUME MEASUREMENT;

ALGORITHM; ARTICLE; AUTOANALYZER; COMPUTER ASSISTED TOMOGRAPHY; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; IMAGE ANALYSIS; LUNG NODULE; LUNG VOLUME; MEASUREMENT; PRIORITY JOURNAL; THICKNESS; TUMOR GROWTH; TUMOR VOLUME; X RAY ANALYSIS;

EID: 2342550126     PISSN: 03638715     EISSN: None     Source Type: Journal    
DOI: 10.1097/00004728-200405000-00012     Document Type: Article

References (13)

1. Yankelevitz DF, Gupta R, Zhao B, et al. Small pulmonary nodules: evaluation with repeat CT - preliminary experience. Radiology. 1999;212: 561-566.
2. Henschke CI, McCauley DI, Yankelevitz DF, et al. Early Lung Cancer Action Project: overall design and findings from baseline screening. Lancet. 1999;354:99-105.
3. Swensen SJ, Jetr MD, Jr, Hartman TE, et al. Lung cancer screening with CT. Mayo Clinic Experience. Radiology. 2003;226:756-761.
4. Diederich S, Wormanns D, Semik M, et al. Screening for early lung cancer with low-dose spiral CT: prevalence in 817 asymptomatic smokers. Radiology. 2002;222:773-781.
5. Garg K, Keith RL, Byers T, et al. Randomized controlled trial with low-dose spiral CT for lung cancer screening: feasibility study and preliminary results. Radiology. 2002;225:506-510.
6. Yankelevitz DF, Reeves AP, Kostis WJ, et al. Small pulmonary nodules: volumetrically determined growth rates based on CT evaluation. Radiology. 2000;217:251-256.
7. Henschke CI, Yankelevitz DF, Smith JP, et al. Screening for lung cancer: the early lung cancer action approach. Lung Cancer. 2002;35:143-148.
8. Zhao B, Reeves AP, Yankelevitz DF, et al. Three-dimensional multicriterion automatic segmentation of pulmonary nodules of helical computed tomography images. Optical Engineering. 1999;38:1340-1347.
9. Zhao B, Yankelevitz DF, Reeves AP, et al. Two-dimensional multicriterion segmentation of pulmonary nodules on helical CT images. Med Phys. 1999;26:889-895.
10. Zhao B, Kostis W, Reeves AP, et al. Consistent segmentation of repeat CT scans for growth assessment in pulmonary nodules. Image processing. Proc SPIE. 1999;3661:1012-1018.
11. Kaufman L, Mineyev M, Carlson C, et al. Coronary calcium scoring: modeling, predicting and correcting for the effect of CT scanner spatial resolution on Agatston and volume scores. Phys Med Biol. 2003;48:1423-1436.
12. Rose A. Vision: Human and Electronic. Plenum Press: NY; 1974:1-27.
13. Winer-Muram HT, Jennings SG, Tarver RD, et al. Volumetric growth rate of stage I lung cancer prior to treatment: serial CT scanning. Radiology. 2002;223:798-805.