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Proceedings Paper

Knowledge-based automatic detection of multitype lung nodules from multidetector CT studies
Author(s): JianZhong Qian; Li Fan; Guo-Qing Wei; Carol L. Novak; Benjamin L. Odry; Hong Shen; Li Zhang; David Naidich; Jane P. Ko; Ami N. Rubinowitz; Georgeann McGuinness; Gerhard Kohl; Ernst Klotz
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Paper Abstract

Multi-slice computed tomography (CT) provides a promising technology for lung cancer detection and treatment. To optimize automatic detections of a more complete spectrum of lung nodules on CT requires multiple specialized algorithms in a coherently integrated detection system. We have developed a knowledge-based system for automatic lung nodule detection and analysis, which coherently integrates several robust novel detection algorithms to detect different types of nodules, including those attached to the chest wall, nodules adjacent to or fed by vessels, and solitary nodules, simultaneously. The system architecture can be easily extended in the future to include a still greater range of nodule types, most importantly so-called ground-glass opacities (GGOs). In addition, automatic local adaptive histogram analysis, dynamic cross-correlation analysis, and the automatic volume projection analysis by using by data dimension reduction method, are used in nodule detection. The proposed system has been applied to 10 patients screened with low-dose multi-slice CT. Preliminary clinical tests show that (1) the false positive rate averages about 3.2 per study; and (2) by using the system radiologists are able to detect nearly twice the number of nodules as compared with working alone.

Paper Details

Date Published: 9 May 2002
PDF: 9 pages
Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); doi: 10.1117/12.467211
Show Author Affiliations
JianZhong Qian, Siemens Corporate Research, Inc. (United States)
Li Fan, Siemens Corporate Research, Inc. (United States)
Guo-Qing Wei, Siemens Corporate Research, Inc. (United States)
Carol L. Novak, Siemens Corporate Research, Inc. (United States)
Benjamin L. Odry, Siemens Corporate Research, Inc. (United States)
Hong Shen, Siemens Corporate Research, Inc. (United States)
Li Zhang, Siemens Corporate Research, Inc. (United States)
David Naidich, New York Univ. Medical Ctr. (United States)
Jane P. Ko, New York Univ. Medical Ctr. (United States)
Ami N. Rubinowitz, New York Univ. Medical Ctr. (United States)
Georgeann McGuinness, New York Univ. Medical Ctr. (United States)
Gerhard Kohl, Siemens Medical Solutions (Germany)
Ernst Klotz, Siemens Medical Solutions (Germany)


Published in SPIE Proceedings Vol. 4684:
Medical Imaging 2002: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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