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Congress: ECR24
Poster Number: C-11536
Type: EPOS Radiographer (scientific)
Authorblock: H. Sato, N. Kawata, Y. Iwao, H. Suzuki, H. Wada, Y. Masuda, H. Haneishi, I. Yoshino, T. Suzuki; Chiba/JP
Disclosures:
Mr. Hirotaka Sato: Nothing to disclose
Dr. Naoko Kawata: Nothing to disclose
Yuma Iwao: Nothing to disclose
Dr. Hidemi Suzuki: Nothing to disclose
Dr. Hironobu Wada: Nothing to disclose
Mr. Yoshitada Masuda: Nothing to disclose
Hideaki Haneishi: Nothing to disclose
Dr. Ichiro Yoshino: Nothing to disclose
Dr. Takuji Suzuki: Nothing to disclose
Keywords: Computer applications, Lung, MR physics, MR, Computer Applications-Detection, diagnosis, Technology assessment, Chronic obstructive airways disease
Purpose Chronic obstructive pulmonary disease (COPD) is characterized by persistent airflow limitation due to airway and/or alveolar abnormalities, which are usually caused by marked exposure to noxious particles or gases (1).Limited airflow and loss of the elastic recoil of the lungs lead to lung hyperinflation and severe distortion of the geometry of the diaphragm and chest wall (2).Although spirometry is the gold standard for the clinical assessment of COPD (3), it does not fully provide essential information on the structural alterations...
Read more Methods and materials A 1.5-T Ingenia CX/Achieva dStream Release 5 MR system (Philips Medical Systems, Amsterdam, The Netherlands) with the patient breathing normally was used for all the MRI studies. A balanced fast-field echo sequence was used in these studies (repetition time 1.84 ms, echo time 0.71 ms, and flip angle 45°). The field of view (FOV) was 384 mm and the matrix size was 192 × 192. The image slice thickness was 13.5 mm with an acquisition time of 121 ms per...
Read more Results We presented an example of the optical flow analysis results for both normal subjects and COPD patients (Fig.3). In the case of normal subjects, the directions of vectors were consistent. In contrast, for COPD patients, various results were observed, including opposite directions, scattered patterns, and motionless, among others.Significant differences in the agreement rate of the direction of diaphragm motion were observed between the COPD group and normal subjects (0.83 vs. 0.97, p=0.001). A significant difference was found in the proportion...
Read more Conclusion Pixel-by-pixel analysis of the direction and magnitude of diaphragm motion using optical flow analysis allows quantitative assessment of asynchronous diaphragm motion in COPD.
Read more References 1. Hogg JC, Paré PD, Hackett TL. The Contribution of Small Airway Obstruction to the Pathogenesis of Chronic Obstructive Pulmonary Disease. Physiol Rev. 2017 Apr;97(2):529-552.2. Iwasawa T, Kagei S , et al. Magnetic resonance analysis of abnormal diaphragmatic motion in patients with emphysema. Eur Respir J. 2002 Feb;19(2):225-31.3. Global Initiative for Chronic Obstructive Lung Disease. 2020 Global strategy for prevention, diagnosis and management of COPD. Available at: ã€ˆhttps://goldcopd.org/wp-content/uploads/2021/11/GOLD-POCKET-GUIDE-2022-v1.1–22Nov2021_WMV.pdf〉4. Barron, J.L., Fleet, D.J. & Beauchemin, S.S. Performance of optical flow techniques. Int J...
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