Three‐dimensional quadratic modeling and quantitative evaluation of the diaphragm on a volumetric CT scan in patients with chronic obstructive pulmonary disease

Medical Physics - Tập 43 Số 7 - Trang 4273-4282 - 2016
Yongjun Chang1, Jang-Pyo Bae2, Namkug Kim3, Joo‐Young Park4, Sang Min Lee4, Joon Beom Seo4,5
1School of Electrical Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon 34138, South Korea
2Interdisciplinary Program, Bioengineering Major, Graduate School, Seoul National University, Seoul 08826, South Korea
3Department of Convergence Medicine, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-Gu, Seoul, 05505, South Korea
4Department of Radiology, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, South Korea
5N. Kim and J. B. Seo contributed equally to this work.

Tóm tắt

Purpose:

In patients with chronic obstructive pulmonary disease (COPD), diaphragm function may deteriorate due to reduced muscle fiber length. Quantitative analysis of the morphology of the diaphragm is therefore important. In the authors current study, they propose a diaphragm segmentation method for COPD patients that uses volumetric chest computed tomography (CT) data, and they provide a quantitative analysis of the diaphragmatic dimensions.

Methods:

Volumetric CT data were obtained from 30 COPD patients and 10 normal control patients using a 16‐row multidetector CT scanner (Siemens Sensation 16) with 0.75‐mm collimation. Diaphragm segmentation using 3D ray projections on the lower surface of the lungs was performed to identify the draft diaphragmatic lung surface, which was modeled using quadratic 3D surface fitting and robust regression in order to minimize the effects of segmentation error and parameterize diaphragm morphology. This result was visually evaluated by an expert thoracic radiologist. To take into consideration the shape features of the diaphragm, several quantification parameters—including the shape index on the apex (SIA) (which was computed using gradient set to 0), principal curvatures on the apex on the fitted diaphragm surface (CA), the height between the apex and the base plane (H), the diaphragm lengths along the x‐, y‐, and z‐axes (XL, YL, ZL), quadratic‐fitted diaphragm lengths on the z‐axis (FZL), average curvature (C), and surface area (SA)—were measured using in‐house software and compared with the pulmonary function test (PFT) results.

Results:

The overall accuracy of the combined segmentation method was 97.22% ± 4.44% while the visual accuracy of the models for the segmented diaphragms was 95.28% ± 2.52% (mean ± SD). The quantitative parameters, including SIA, CA, H, XL, YL, ZL, FZL, C, and SA were 0.85 ± 0.05 (mm−1), 0.01 ± 0.00 (mm−1), 17.93 ± 10.78 (mm), 129.80 ± 11.66 (mm), 163.19 ± 13.45 (mm), 71.27 ± 17.52 (mm), 61.59 ± 16.98 (mm), 0.01 ± 0.00 (mm−1), and 34 380.75 ± 6680.06 (mm2), respectively. Several parameters were correlated with the PFT parameters.

Conclusions:

The authors propose an automatic method for quantitatively evaluating the morphological parameters of the diaphragm on volumetric chest CT in COPD patients. By measuring not only the conventional length and surface area but also the shape features of the diaphragm using quadratic 3D surface modeling, the proposed method is especially useful for quantifying diaphragm characteristics. Their method may be useful for assessing morphological diaphragmatic changes in COPD patients.

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Tài liệu tham khảo

10.1164/ajrccm.163.5.2101039

10.1371/journal.pmed.0030442

10.1164/ajrccm/148.5.1351

10.1513/pats.200509‐103SF

10.1164/ajrccm.160.supplement_1.7

10.1183/09059180.00010410

10.1183/09059180.00010002

10.1063/1.365939

10.1007/s10278‐007‐9091‐y

10.1118/1.4866836

Van Ginneken B., 2007, MICCAI Workshop on 3D Segmentation in the Clinic: A Grand Challenge 1, 7

10.1145/37402.37422

10.1007/s11263‐006‐7934‐5

Draper N. R., 1998, Applied Regression Analysis, 567, 10.1002/9781118625590.ch25

10.1214/aoms/1177703732

Willmore T. J., 2012, An Introduction to Differential Geometry, 98

10.1186/1465‐9921‐9‐12

10.1152/japplphysiol.01614.2005

Ruel M., 1998, The diaphragm in emphysema, Chest Surg. Clin. North Am., 8, 381

10.1152/japplphysiol.00163.2009

10.1051/proc:082305