An algorithm of nodule detection based on high resolution CT images / 中国医疗器械杂志
Chinese Journal of Medical Instrumentation
;
(6): 175-178, 2008.
Article
in Chinese
| WPRIM
| ID: wpr-309620
ABSTRACT
Combining the speed of two-dimensional detection with the precision of three-dimensional detection, an automatic algorithm based on high resolution CT images is proposed to identify nodules in this paper. Nodule candidates are extracted by a two-dimensional convergence index (CI) filter, then a three-dimensional Hessian matrix detection filter is introduced to reduce false positive lung nodules, Experiments show that the algorithm is effective with a sensitivity of 90% and the false positive lung nodules per slice is 0.33.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Algorithms
/
Diagnostic Imaging
/
Tomography, X-Ray Computed
/
Sensitivity and Specificity
/
Solitary Pulmonary Nodule
/
False Positive Reactions
/
Methods
Type of study:
Diagnostic study
/
Prognostic study
Limits:
Humans
Language:
Chinese
Journal:
Chinese Journal of Medical Instrumentation
Year:
2008
Type:
Article
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