Ann Thorac Cardiovasc Surg 2015; 21: 1–7 

Original Article

Online February 28, 2014 doi: 10.5761/atcs.oa.13-00318

Fast Fourier Transform Analysis of Pulmonary Nodules on Computed Tomography Images from Patients with Lung Cancer Tatsuya Yoshimasu, MD, PhD, Mitsumasa Kawago, MD, Yoshimitsu Hirai, MD, PhD, Takuya Ohashi, MD, Yumi Tanaka, MD, Shoji Oura, MD, PhD, and Yoshitaka Okamura, MD, PhD

Purpose: The outlines of primary lung cancers are more complicated than those of metastatic lung tumors on computed tomography (CT) images. This feature is useful for clarifying the diagnosis of pulmonary nodules before surgery. We applied fast Fourier transform (FFT) analysis for quantification of complexity of tumor outline. Methods: Sequential cases of 72 primary lung cancers (Group PL) and 54 metastatic lung tumors (Group MT) were included. The outline of each tumor on chest CT images was described using polar coordinates, and converted to rectangular coordinates, yielding wave data of the tumor outline. The FFT was then used to analyze the wave data. The complexity index (Cxi) was defined as the sum of the amplitude of all harmonics over a fundamental frequency. Results: The Cxi was higher (P

Fast Fourier transform analysis of pulmonary nodules on computed tomography images from patients with lung cancer.

The outlines of primary lung cancers are more complicated than those of metastatic lung tumors on computed tomography (CT) images. This feature is use...
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