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Okamoto H, Miyatake H, Kodama M, Matsubayashi J, Matsutani N, Fujino K, Tsujita Y, Shiomi N, Nakagawa Y. Discriminative Ability of Dynamic Chest Radiography to Identify Left Ventricular Dysfunction. Circ J 2023; 88:159-167. [PMID: 38030239 DOI: 10.1253/circj.cj-23-0429] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2023]
Abstract
BACKGROUND Dynamic chest radiography (DCR) produces sequential radiographs within a short examination time. It is also inexpensive and only uses a low dose of radiation. Because of the lack of reports of evaluating cardiac function using DCR in humans, we investigated its discriminative ability for left ventricular (LV) dysfunction in a study cohort. METHODS AND RESULTS We analyzed the DCR pixel values of 4 circular regions of interest (ROIs) in the hearts of 61 patients with cardiovascular disease and 10 healthy volunteers. We evaluated the relationship between changes in pixel value in the heart and the LV ejection fraction (LVEF) by echocardiography. We constructed receiver operating characteristic (ROC) curves to evaluate whether the percent change in pixel value (%∆pixel value) could be used to identify patients with reduced LVEF. A total of 21 patients had reduced LVEF (LVEF <50%), and 40 had preserved LVEF (LVEF ≥50%). The correlation between LVEF and %∆pixel value in each ROI was significant, and the area under the ROC curve of the %∆pixel values for identifying patients with reduced LVEF was satisfactory (0.808-0.827) in 3 ROIs where the entire circular area was within the cardiac shadow. CONCLUSIONS LV dysfunction can be detected by changes in the pixel value on DCR.
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Affiliation(s)
- Hiroki Okamoto
- Division of Cardiovascular Medicine, Department of Internal Medicine, Shiga University of Medical Science
| | - Hidemitsu Miyatake
- Department of Critical and Intensive Care Medicine, Shiga University of Medical Science
| | - Misato Kodama
- Division of Cardiovascular Medicine, Department of Internal Medicine, Shiga University of Medical Science
| | - Jun Matsubayashi
- Center for Clinical Research and Advanced Medicine, Shiga University of Medical Science
| | | | - Kazunori Fujino
- Department of Critical and Intensive Care Medicine, Shiga University of Medical Science
| | - Yasuyuki Tsujita
- Department of Critical and Intensive Care Medicine, Shiga University of Medical Science
| | - Naoto Shiomi
- Department of Critical and Intensive Care Medicine, Shiga University of Medical Science
| | - Yoshihisa Nakagawa
- Division of Cardiovascular Medicine, Department of Internal Medicine, Shiga University of Medical Science
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Yang D, Huang Y, Li B, Cai J, Ren G. Dynamic Chest Radiograph Simulation Technique with Deep Convolutional Neural Networks: A Proof-of-Concept Study. Cancers (Basel) 2023; 15:5768. [PMID: 38136313 PMCID: PMC10741831 DOI: 10.3390/cancers15245768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 11/30/2023] [Accepted: 12/04/2023] [Indexed: 12/24/2023] Open
Abstract
In this study, we present an innovative approach that harnesses deep neural networks to simulate respiratory lung motion and extract local functional information from single-phase chest X-rays, thus providing valuable auxiliary data for early diagnosis of lung cancer. A novel radiograph motion simulation (RMS) network was developed by combining a U-Net and a long short-term memory (LSTM) network for image generation and sequential prediction. By utilizing a spatial transformer network to deform input images, our proposed network ensures accurate image generation. We conducted both qualitative and quantitative assessments to evaluate the effectiveness and accuracy of our proposed network. The simulated respiratory motion closely aligns with pulmonary biomechanics and reveals enhanced details of pulmonary diseases. The proposed network demonstrates precise prediction of respiratory motion in the test cases, achieving remarkable average Dice scores exceeding 0.96 across all phases. The maximum variation in lung length prediction was observed during the end-exhale phase, with average deviation of 4.76 mm (±6.64) for the left lung and 4.77 mm (±7.00) for the right lung. This research validates the feasibility of generating patient-specific respiratory motion profiles from single-phase chest radiographs.
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Affiliation(s)
- Dongrong Yang
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong; (D.Y.); (Y.H.); (B.L.)
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC 27708, USA
| | - Yuhua Huang
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong; (D.Y.); (Y.H.); (B.L.)
| | - Bing Li
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong; (D.Y.); (Y.H.); (B.L.)
- The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou 450008, China
| | - Jing Cai
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong; (D.Y.); (Y.H.); (B.L.)
| | - Ge Ren
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong; (D.Y.); (Y.H.); (B.L.)
- The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen 518000, China
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3
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Fyles F, FitzMaurice TS, Robinson RE, Bedi R, Burhan H, Walshaw MJ. Dynamic chest radiography: a state-of-the-art review. Insights Imaging 2023; 14:107. [PMID: 37332064 DOI: 10.1186/s13244-023-01451-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 05/14/2023] [Indexed: 06/20/2023] Open
Abstract
Dynamic chest radiography (DCR) is a real-time sequential high-resolution digital X-ray imaging system of the thorax in motion over the respiratory cycle, utilising pulsed image exposure and a larger field of view than fluoroscopy coupled with a low radiation dose, where post-acquisition image processing by computer algorithm automatically characterises the motion of thoracic structures. We conducted a systematic review of the literature and found 29 relevant publications describing its use in humans including the assessment of diaphragm and chest wall motion, measurement of pulmonary ventilation and perfusion, and the assessment of airway narrowing. Work is ongoing in several other areas including assessment of diaphragmatic paralysis. We assess the findings, methodology and limitations of DCR, and we discuss the current and future roles of this promising medical imaging technology.Critical relevance statement Dynamic chest radiography provides a wealth of clinical information, but further research is required to identify its clinical niche.
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Affiliation(s)
- Fred Fyles
- Respiratory Research Group, Liverpool University Hospitals Foundation Trust, Liverpool, UK
- Clinical Sciences Department, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Thomas S FitzMaurice
- Department of Respiratory Medicine, Liverpool Heart and Chest Hospital NHS Trust, Liverpool, UK.
- Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK.
| | - Ryan E Robinson
- Respiratory Research Group, Liverpool University Hospitals Foundation Trust, Liverpool, UK
- Clinical Sciences Department, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Ram Bedi
- Department of Bioengineering, University of Washington, Seattle, WA, USA
| | - Hassan Burhan
- Respiratory Research Group, Liverpool University Hospitals Foundation Trust, Liverpool, UK
- Clinical Sciences Department, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Martin J Walshaw
- Department of Respiratory Medicine, Liverpool Heart and Chest Hospital NHS Trust, Liverpool, UK
- Institute of Infection and Global Health, University of Liverpool, Liverpool, UK
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4
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Chubachi S, Okamori S, Yamada Y, Yamada M, Yokoyama Y, Niijima Y, Kamata H, Ishii M, Fukunaga K, Jinzaki M. Differences in lung and lobe volumes between supine and upright computed tomography in patients with idiopathic lung fibrosis. Sci Rep 2022; 12:19408. [PMID: 36371537 PMCID: PMC9653373 DOI: 10.1038/s41598-022-24157-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Accepted: 11/10/2022] [Indexed: 11/13/2022] Open
Abstract
No clinical study has compared lung or lobe volumes on computed tomography (CT) between the supine and standing positions in patients with idiopathic lung fibrosis (IPF). This study aimed to compare lung and lobe volumes between the supine and standing positions and evaluate the correlations between the supine/standing lung volumes on CT and pulmonary function in patients with IPF. Twenty-three patients with IPF underwent a pulmonary function test and both low-dose conventional (supine position) and upright CT (standing position) during inspiration breath-holds. The volumes of the total lungs and lobes were larger in the standing than in the supine position in patients with IPF (all p < 0.05). Spearman's correlation coefficients between total lung volumes on chest CT in supine/standing positions and vital capacity (VC) or forced VC (FVC) were 0.61/0.79 or 0.64/0.80, respectively. CT-based volumes on upright CT were better correlated with VC and FVC than those on supine CT. Lung and lobe volumes in the standing position may be useful biomarkers to assess disease severity or therapeutic effect in patients with IPF.
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Affiliation(s)
- Shotaro Chubachi
- grid.26091.3c0000 0004 1936 9959Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582 Japan
| | - Satoshi Okamori
- grid.26091.3c0000 0004 1936 9959Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582 Japan
| | - Yoshitake Yamada
- grid.26091.3c0000 0004 1936 9959Department of Radiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582 Japan
| | - Minoru Yamada
- grid.26091.3c0000 0004 1936 9959Department of Radiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582 Japan
| | - Yoichi Yokoyama
- grid.26091.3c0000 0004 1936 9959Department of Radiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582 Japan
| | - Yuki Niijima
- grid.412096.80000 0001 0633 2119Office of Radiation Technology, Keio University Hospital, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582 Japan
| | - Hirofumi Kamata
- grid.26091.3c0000 0004 1936 9959Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582 Japan
| | - Makoto Ishii
- grid.26091.3c0000 0004 1936 9959Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582 Japan
| | - Koichi Fukunaga
- grid.26091.3c0000 0004 1936 9959Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582 Japan
| | - Masahiro Jinzaki
- grid.26091.3c0000 0004 1936 9959Department of Radiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582 Japan
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Tanaka R, Kasahara K, Ohkura N, Matsumoto I, Tamura M, Takata M, Inoue D, Izumozaki A, Horii J, Matsuura Y, Sanada S. [Paradigm Shift in Respiratory Diagnosis: Current Status and Future Prospects of Dynamic Chest Radiography]. Nihon Hoshasen Gijutsu Gakkai Zasshi 2021; 77:1279-1287. [PMID: 34803108 DOI: 10.6009/jjrt.2021_jsrt_77.11.1279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Dynamic chest radiography (DCR) is a flat-panel detector (FPD) -based functional X-ray imaging, which is performed as an additional examination in chest radiography. The large field of view of FPDs permits real-time observation of motion/kinetic findings on the entire lungs, right and left diaphragm, ribs, and chest wall; heart wall motions; respiratory changes in lung density; and diameter of the intrathoracic trachea. Since the dynamic FPDs had been developed in the early 2000s, we focused on the potential of dynamic FPDs for functional X-ray imaging and have launched a research project for the development of an imaging protocol and digital image-processing techniques for the DCR. The quantitative analysis of motion/kinetic findings is helpful for a better understanding of pulmonary function, because the interpretation of dynamic chest radiographs is challenging and time-consuming for radiologists, pulmonologists, and surgeons. Recent clinical studies have demonstrated the usefulness of DCR combined with the digital image processing techniques for the evaluation of pulmonary function and circulation. Especially, there is a major concern in color-mapping images based on dynamic changes in radiographic lung density, where pulmonary impairments can be detected as color defects, even without the use of contrast media or radioactive medicine. Dynamic chest radiography is now commercially available for the use in general X-ray room and therefore can be deployed as a simple and rapid means of functional imaging in both routine and emergency medicine. This review article describes the current status and future prospects of DCR, which might bring a paradigm shift in respiratory diagnosis.
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Affiliation(s)
- Rie Tanaka
- College of Medical, Pharmaceutical & Health Sciences, Kanazawa University
| | - Kazuo Kasahara
- Department of Respiratory Medicine, Kanazawa University Hospital
| | - Noriyuki Ohkura
- Department of Respiratory Medicine, Kanazawa University Hospital
| | | | | | | | - Dai Inoue
- Department of Radiology, Kanazawa University Hospital
| | | | - Junsei Horii
- Division of Radiology, Kanazawa University Hospital
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Hata A, Yamada Y, Tanaka R, Nishino M, Hida T, Hino T, Ueyama M, Yanagawa M, Kamitani T, Kurosaki A, Sanada S, Jinzaki M, Ishigami K, Tomiyama N, Honda H, Kudoh S, Hatabu H. Dynamic Chest X-Ray Using a Flat-Panel Detector System: Technique and Applications. Korean J Radiol 2020; 22:634-651. [PMID: 33289365 PMCID: PMC8005348 DOI: 10.3348/kjr.2020.1136] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 10/21/2020] [Accepted: 10/26/2020] [Indexed: 12/13/2022] Open
Abstract
Dynamic X-ray (DXR) is a functional imaging technique that uses sequential images obtained by a flat-panel detector (FPD). This article aims to describe the mechanism of DXR and the analysis methods used as well as review the clinical evidence for its use. DXR analyzes dynamic changes on the basis of X-ray translucency and can be used for analysis of diaphragmatic kinetics, ventilation, and lung perfusion. It offers many advantages such as a high temporal resolution and flexibility in body positioning. Many clinical studies have reported the feasibility of DXR and its characteristic findings in pulmonary diseases. DXR may serve as an alternative to pulmonary function tests in patients requiring contact inhibition, including patients with suspected or confirmed coronavirus disease 2019 or other infectious diseases. Thus, DXR has a great potential to play an important role in the clinical setting. Further investigations are needed to utilize DXR more effectively and to establish it as a valuable diagnostic tool.
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Affiliation(s)
- Akinori Hata
- Center for Pulmonary Functional Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Yoshitake Yamada
- Department of Diagnostic Radiology, Keio University School of Medicine, Tokyo, Japan
| | - Rie Tanaka
- Department of Radiological Technology, School of Health Sciences, College of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Ishikawa, Japan
| | - Mizuki Nishino
- Center for Pulmonary Functional Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Tomoyuki Hida
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Takuya Hino
- Center for Pulmonary Functional Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Masako Ueyama
- Department of Health Care, Fukujuji Hospital, Japan Anti-Tuberculosis Association, Tokyo, Japan
| | - Masahiro Yanagawa
- Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Takeshi Kamitani
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Atsuko Kurosaki
- Department of Diagnostic Radiology, Fukujuji Hospital, Japan Anti-Tuberculosis Association, Tokyo, Japan
| | - Shigeru Sanada
- Clinical Engineering, Komatsu University, Ishikawa, Japan
| | - Masahiro Jinzaki
- Department of Diagnostic Radiology, Keio University School of Medicine, Tokyo, Japan
| | - Kousei Ishigami
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Noriyuki Tomiyama
- Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Hiroshi Honda
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Shoji Kudoh
- Japan Anti-Tuberculosis Association, Tokyo, Japan
| | - Hiroto Hatabu
- Center for Pulmonary Functional Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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7
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Comparison of inspiratory and expiratory lung and lobe volumes among supine, standing, and sitting positions using conventional and upright CT. Sci Rep 2020; 10:16203. [PMID: 33004894 PMCID: PMC7530723 DOI: 10.1038/s41598-020-73240-8] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 09/14/2020] [Indexed: 12/19/2022] Open
Abstract
Currently, no clinical studies have compared the inspiratory and expiratory volumes of unilateral lung or of each lobe among supine, standing, and sitting positions. In this prospective study, 100 asymptomatic volunteers underwent both low-radiation-dose conventional (supine position, with arms raised) and upright computed tomography (CT) (standing and sitting positions, with arms down) during inspiration and expiration breath-holds and pulmonary function test (PFT) on the same day. We compared the inspiratory/expiratory lung/lobe volumes on CT in the three positions. The inspiratory and expiratory bilateral upper and lower lobe and lung volumes were significantly higher in the standing/sitting positions than in the supine position (5.3–14.7% increases, all P < 0.001). However, the inspiratory right middle lobe volume remained similar in the three positions (all P > 0.15); the expiratory right middle lobe volume was significantly lower in the standing/sitting positions (16.3/14.1% decrease) than in the supine position (both P < 0.0001). The Pearson’s correlation coefficients (r) used to compare the total lung volumes on inspiratory CT in the supine/standing/sitting positions and the total lung capacity on PFT were 0.83/0.93/0.95, respectively. The r values comparing the total lung volumes on expiratory CT in the supine/standing/sitting positions and the functional residual capacity on PFT were 0.83/0.85/0.82, respectively. The r values comparing the total lung volume changes from expiration to inspiration on CT in the supine/standing/sitting positions and the inspiratory capacity on PFT were 0.53/0.62/0.65, respectively. The study results could impact preoperative CT volumetry of the lung in lung cancer patients (before lobectomy) for the prediction of postoperative residual pulmonary function, and could be used as the basis for elucidating undetermined pathological mechanisms. Furthermore, in addition to morphological evaluation of the chest, inspiratory and expiratory upright CT may be used as an alternative tool to predict lung volumes such as total lung capacity, functional residual capacity, and inspiratory capacity in situation in which PFT cannot be performed such as during an infectious disease pandemic, with relatively more accurate predictability compared with conventional supine CT.
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Yamada Y, Yamada M, Yokoyama Y, Tanabe A, Matsuoka S, Niijima Y, Narita K, Nakahara T, Murata M, Fukunaga K, Chubachi S, Jinzaki M. Differences in Lung and Lobe Volumes between Supine and Standing Positions Scanned with Conventional and Newly Developed 320-Detector-Row Upright CT: Intra-Individual Comparison. Respiration 2020; 99:598-605. [PMID: 32640453 DOI: 10.1159/000507265] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Accepted: 03/16/2020] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND No clinical studies to date have compared unilateral lung or lobe volumes between the supine and standing positions. OBJECTIVES To compare lung/lobe volumes on computed tomography (CT) between these two positions and evaluate the correlation between the total lung volume and total lung capacity (TLC) on pulmonary function tests (PFTs). METHODS Thirty-two asymptomatic volunteers underwent both conventional CT (supine position) and upright CT (standing position), during deep inspiration breath-hold, and PFTs on the same day. We measured lung/lobe volumes on CT in each position. Paired t tests were used for statistical analysis. RESULTS The volumes of the total lung (10.9% increase), right lung (10.3% increase), right upper lobe (8.6% increase), right lower lobe (14.6% increase), left lung (11.6% increase), left upper lobe (7.1% increase), and left lower lobe (16.0% increase) were significantly greater in the standing position than in the supine position (all p < 0.0001). The right middle lobe volume was similar between the two positions (p = 0.16). Intraclass correlation coefficients for agreement between total lung volumes on CT in the supine/standing positions and the TLC on PFT were 0.891/0.938, respectively. CONCLUSIONS While the volumes of the bilateral upper and lower lobes and bilateral lungs were significantly greater in the standing than in the supine position, with lower lobes showing larger changes, the right middle lobe volume did not change significantly between positions. The total lung volume on upright CT in the standing position was more similar to TLC on PFT than that in the supine position.
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Affiliation(s)
- Yoshitake Yamada
- Department of Radiology, Keio University School of Medicine, Tokyo, Japan,
| | - Minoru Yamada
- Department of Radiology, Keio University School of Medicine, Tokyo, Japan
| | - Yoichi Yokoyama
- Department of Radiology, Keio University School of Medicine, Tokyo, Japan
| | - Akiko Tanabe
- Department of Clinical Laboratory, Keio University Hospital, Tokyo, Japan
| | - Shiho Matsuoka
- Department of Clinical Laboratory, Keio University Hospital, Tokyo, Japan
| | - Yuki Niijima
- Office of Radiation Technology, Keio University Hospital, Tokyo, Japan
| | - Keiichi Narita
- Department of Radiology, Keio University School of Medicine, Tokyo, Japan
| | - Takehiro Nakahara
- Department of Radiology, Keio University School of Medicine, Tokyo, Japan
| | - Mitsuru Murata
- Department of Laboratory Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Koichi Fukunaga
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Shotaro Chubachi
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Masahiro Jinzaki
- Department of Radiology, Keio University School of Medicine, Tokyo, Japan
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FitzMaurice TS, McNamara PS, Nazareth D, McCann C, Bedi R, Shaw M, Walshaw M. Utility and validity of dynamic chest radiography in cystic fibrosis (dynamic CF): an observational, non-controlled, non-randomised, single-centre, prospective study. BMJ Open Respir Res 2020; 7:7/1/e000569. [PMID: 32217535 PMCID: PMC7206905 DOI: 10.1136/bmjresp-2020-000569] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 02/19/2020] [Accepted: 02/19/2020] [Indexed: 11/03/2022] Open
Abstract
INTRODUCTION Dynamic chest radiography (DCR) uses novel, low-dose radiographic technology to capture images of the thoracic cavity while in motion. Pulmonary function testing is important in cystic fibrosis (CF). The tolerability, rapid acquisition and lower radiation and cost compared with CT imaging may make DCR a useful adjunct to current standards of care. METHODS AND ANALYSIS This is an observational, non-controlled, non-randomised, single-centre, prospective study. This study is conducted at the Liverpool Heart and Chest Hospital (LHCH) adult CF unit. Participants are adults with CF. This study reviews DCR taken during routine CF Annual Review (n=150), validates DCR-derived lung volumes against whole body plethysmography (n=20) and examines DCR at the start and end of pulmonary exacerbations of CF (n=20). The primary objectives of this study are to examine if DCR provides lung function information that correlates with PFT, and lung volumes that correlate whole body plethysmography. ETHICS AND DISSEMINATION This study has received the following approvals: HRA REC (11 December 2019) and LHCH R&I (11 October 2019). Results are made available to people with CF, the funders and other researchers. Processed, anonymised data are available from the research team on request. TRIAL REGISTRATION NUMBER ISRCTN 64994816.
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Affiliation(s)
- Thomas Simon FitzMaurice
- Adult CF Unit, Liverpool Heart and Chest Hospital NHS Trust, Liverpool, UK .,Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - Paul Stephen McNamara
- Institute of Translational Medicine, University of Liverpool, Liverpool, UK.,Institute in the Park, Alder Hey Children's Hospital, Liverpool, UK
| | - Dilip Nazareth
- Adult CF Unit, Liverpool Heart and Chest Hospital NHS Trust, Liverpool, UK.,Institute of Infection and Global Health, University of Liverpool, Liverpool, UK
| | - Caroline McCann
- Department of Radiology, Liverpool Heart and Chest Hospital NHS Trust, Liverpool, UK
| | - Ram Bedi
- Department of Bioengineering, University of Washington, Seattle, Washington, USA
| | - Matthew Shaw
- Research Department, Liverpool Heart and Chest Hospital NHS Trust, Liverpool, UK
| | - Martin Walshaw
- Adult CF Unit, Liverpool Heart and Chest Hospital NHS Trust, Liverpool, UK.,Institute of Infection and Global Health, University of Liverpool, Liverpool, UK
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Yamada Y, Ueyama M, Abe T, Araki T, Abe T, Nishino M, Jinzaki M, Hatabu H, Kudoh S. Difference in the craniocaudal gradient of the maximum pixel value change rate between chronic obstructive pulmonary disease patients and normal subjects using sub-mGy dynamic chest radiography with a flat panel detector system. Eur J Radiol 2017. [PMID: 28624018 DOI: 10.1016/j.ejrad.2017.04.016] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
OBJECTIVES To compare the craniocaudal gradients of the maximum pixel value change rate (MPCR) during tidal breathing between chronic obstructive pulmonary disease (COPD) patients and normal subjects using dynamic chest radiography. MATERIALS AND METHODS This prospective study was approved by the institutional review board and all participants provided written informed consent. Forty-three COPD patients (mean age, 71.6±8.7 years) and 47 normal subjects (non-smoker healthy volunteers) (mean age, 54.8±9.8 years) underwent sequential chest radiographs during tidal breathing in a standing position using dynamic chest radiography with a flat panel detector system. We evaluated the craniocaudal gradient of MPCR. The results were analyzed using an unpaired t-test and the Tukey-Kramer method. RESULTS The craniocaudal gradients of MPCR in COPD patients were significantly lower than those in normal subjects (right inspiratory phase, 75.5±48.1 vs. 108.9±42.0s-1cm-1, P<0.001; right expiratory phase, 66.4±40.6 vs. 89.8±31.6s-1cm-1, P=0.003; left inspiratory phase, 75.5±48.2 vs. 108.2±47.2s-1cm-1, P=0.002; left expiratory phase, 60.9±38.2 vs. 84.3±29.5s-1cm-1, P=0.002). No significant differences in height, weight, or BMI were observed between COPD and normal groups. In the sub-analysis, the gradients in severe COPD patients (global initiative for chronic obstructive lung disease [GOLD] 3 or 4, n=26) were significantly lower than those in mild COPD patients (GOLD 1 or 2, n=17) for both right and left inspiratory/expiratory phases (all P≤0.005). CONCLUSIONS A decrease of the craniocaudal gradient of MPCR was observed in COPD patients. The craniocaudal gradient was lower in severe COPD patients than in mild COPD patients.
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Affiliation(s)
- Yoshitake Yamada
- Department of Radiology, Center for Pulmonary Functional Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Diagnostic Radiology, Keio University School of Medicine, Tokyo, Japan.
| | - Masako Ueyama
- Department of Health Care, Fukujuji Hospital, Japan Anti-Tuberculosis Association, Kiyose, Japan.
| | - Takehiko Abe
- Department of Radiology, Fukujuji Hospital, Japan Anti-Tuberculosis Association, Kiyose, Japan.
| | - Tetsuro Araki
- Department of Radiology, Center for Pulmonary Functional Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Takayuki Abe
- Department of Preventive Medicine and Public Health, Biostatistics Unit at Clinical and Translational Research Center, Keio University School of Medicine, Tokyo, Japan.
| | - Mizuki Nishino
- Department of Radiology, Center for Pulmonary Functional Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Masahiro Jinzaki
- Department of Diagnostic Radiology, Keio University School of Medicine, Tokyo, Japan.
| | - Hiroto Hatabu
- Department of Radiology, Center for Pulmonary Functional Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Shoji Kudoh
- Department of Respiratory Medicine, Fukujuji Hospital, Japan Anti-Tuberculosis Association, Kiyose, Japan.
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11
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Dynamic chest radiography: flat-panel detector (FPD) based functional X-ray imaging. Radiol Phys Technol 2016; 9:139-53. [PMID: 27294264 DOI: 10.1007/s12194-016-0361-6] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2016] [Revised: 05/16/2016] [Accepted: 05/18/2016] [Indexed: 10/21/2022]
Abstract
Dynamic chest radiography is a flat-panel detector (FPD)-based functional X-ray imaging, which is performed as an additional examination in chest radiography. The large field of view (FOV) of FPDs permits real-time observation of the entire lungs and simultaneous right-and-left evaluation of diaphragm kinetics. Most importantly, dynamic chest radiography provides pulmonary ventilation and circulation findings as slight changes in pixel value even without the use of contrast media; the interpretation is challenging and crucial for a better understanding of pulmonary function. The basic concept was proposed in the 1980s; however, it was not realized until the 2010s because of technical limitations. Dynamic FPDs and advanced digital image processing played a key role for clinical application of dynamic chest radiography. Pulmonary ventilation and circulation can be quantified and visualized for the diagnosis of pulmonary diseases. Dynamic chest radiography can be deployed as a simple and rapid means of functional imaging in both routine and emergency medicine. Here, we focus on the evaluation of pulmonary ventilation and circulation. This review article describes the basic mechanism of imaging findings according to pulmonary/circulation physiology, followed by imaging procedures, analysis method, and diagnostic performance of dynamic chest radiography.
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12
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Sakuda K, Sanada S, Tanaka R, Kitaoka K, Hayashi N, Matsuura Y. Functional shoulder radiography with use of a dynamic flat panel detector. Radiol Phys Technol 2014; 7:254-61. [PMID: 24515244 PMCID: PMC4097328 DOI: 10.1007/s12194-014-0257-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2013] [Revised: 01/19/2014] [Accepted: 01/20/2014] [Indexed: 11/25/2022]
Abstract
Our purpose in this study was to develop a functional form of radiography and to perform a quantitative analysis for the shoulder joint using a dynamic flat panel detector (FPD) system. We obtained dynamic images at a rate of 3.75 frames per second (fps) using an FPD system. Three patients and 5 healthy controls were studied with a clinically established frontal projection, with abduction of the arms. The arm angle, glenohumeral angle (G-angle), and scapulothoracic angle (S-angle) were measured on dynamic images. The ratio of the G-angle to the S-angle (GSR) was also evaluated quantitatively. In normal subjects, the G-angle and S-angle changed gradually along with the arm angle. The G-angle was approximately twice as large as the S-angle, resulting in a GSR of 2 throughout the abduction of the shoulder. Changes in G-angle and S-angle tended to be irregular in patients with shoulder disorders. The GSR of the thoracic outlet syndrome, recurrent dislocation of the shoulder joint, and anterior serratus muscle paralysis were 3–7.5, 4–9.5, and 3.5–7.5, respectively. The GSR of the anterior serratus muscle paralysis improved to approximately 2 after orthopedic treatment. Our preliminary results indicated that functional radiography by FPD and computer-aided quantitative analysis is useful for diagnosis of some shoulder disorders, such as the thoracic outlet syndrome, recurrent dislocation of the shoulder joint, and anterior serratus muscle paralysis. The technique and procedures described comprise a simple, functional shoulder radiographic method for evaluation of the therapeutic effects of surgery and/or rehabilitation.
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Affiliation(s)
- Keita Sakuda
- Division of Health Sciences, Radiology, Graduate School of Medical Science, Kanazawa University, 5-11-80 Kodatsuno, Kanazawa, Ishikawa, 920-0942, Japan,
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13
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Xu T, Ducote JL, Wong JT, Molloi S. Dynamic dual-energy chest radiography: a potential tool for lung tissue motion monitoring and kinetic study. Phys Med Biol 2011; 56:1191-205. [PMID: 21285477 DOI: 10.1088/0031-9155/56/4/019] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Dual-energy chest radiography has the potential to provide better diagnosis of lung disease by removing the bone signal from the image. Dynamic dual-energy radiography is now possible with the introduction of digital flat-panel detectors. The purpose of this study is to evaluate the feasibility of using dynamic dual-energy chest radiography for functional lung imaging and tumor motion assessment. The dual-energy system used in this study can acquire up to 15 frames of dual-energy images per second. A swine animal model was mechanically ventilated and imaged using the dual-energy system. Sequences of soft-tissue images were obtained using dual-energy subtraction. Time subtracted soft-tissue images were shown to be able to provide information on regional ventilation. Motion tracking of a lung anatomic feature (a branch of pulmonary artery) was performed based on an image cross-correlation algorithm. The tracking precision was found to be better than 1 mm. An adaptive correlation model was established between the above tracked motion and an external surrogate signal (temperature within the tracheal tube). This model is used to predict lung feature motion using the continuous surrogate signal and low frame rate dual-energy images (0.1-3.0 frames per second). The average RMS error of the prediction was (1.1 ± 0.3) mm. The dynamic dual energy was shown to be potentially useful for lung functional imaging such as regional ventilation and kinetic studies. It can also be used for lung tumor motion assessment and prediction during radiation therapy.
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Affiliation(s)
- Tong Xu
- Department of Physics, Carleton University, Ottawa, ON, Canada.
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14
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Ventilatory impairment detection based on distribution of respiratory-induced changes in pixel values in dynamic chest radiography: a feasibility study. Int J Comput Assist Radiol Surg 2010; 6:103-10. [PMID: 20549376 DOI: 10.1007/s11548-010-0491-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2010] [Accepted: 05/17/2010] [Indexed: 10/19/2022]
Abstract
PURPOSE Decreased ventilation is observed on chest radiographs as small changes in X-ray translucency, and ventilatory impairments can therefore be detected by analyzing the distribution of respiratory-induced changes in pixel value. This study was performed to develop a ventilatory impairment detection method based on the distribution of respiratory-induced changes in pixel values. METHODS Sequential chest radiographs during respiration were obtained using a dynamic flat panel detector system. Respiratory-induced changes in pixel value were measured in each local area and then compared for symmetrical positions in both lungs, which were located at the same distance from the axis of the thorax at the same level. The right-left symmetry was assessed in 20 clinical cases (Abnormal, 14; Normal, 6). RESULTS In normal controls, the distribution was symmetrical, and there were good correlations of the pixel value changes in both lungs at symmetrical positions (r = 0.66 ± 0.05). In contrast, abnormal cases did not show a symmetrical distribution of pixel value changes (r = 0.40 ± 0.23) due to ventilation abnormalities observed as reductions in pixel value changes. CONCLUSIONS Ventilatory impairment could be detected as deviation from the right-left symmetry of respiratory-induced changes in pixel value. In particular, the present method could be useful for detecting unilateral abnormalities. However, to detect bilateral abnormalities, further studies are required to develop multilevel detection methods combined with several methods of pattern analysis.
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15
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Tanaka R, Sanada S, Fujimura M, Yasui M, Tsuji S, Hayashi N, Nanbu Y, Matsui O. [Pulmonary functional diagnostic imaging using a dynamic flat-panel detector: comparison with findings in pulmonary scintigraphy]. Nihon Hoshasen Gijutsu Gakkai Zasshi 2009; 65:728-37. [PMID: 19602797 DOI: 10.6009/jjrt.65.728] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Pulmonary ventilation and circulation dynamics are reflected on dynamic chest radiographs as changes in X-ray translucency,i.e., pixel values. The present study was performed to develop a pulmonary functional evaluation method based on the changes in pixel value, and to investigate the clinical usefulness of our method. Sequential chest radiographs of 20 subjects (abnormal,n=12; normal,n=8) during respiration were obtained with a dynamic flat-panel detector (FPD) system. The average pixel value in each local area was measured tracking the same area. To facilitate visual evaluation, the results were mapped on the original image using a grayscale in which small changes were shown in black and large changes were shown in white. In our clinical evaluation in comparison with a pulmonary scintigraphy, pulmonary ventilation disorder was indicated as a reduction of changes in pixel values. In many patients, there was a correlation between our result and a pulmonary scintigraphy (0.7<r, 4 cases; 0.4<r<or=0.7, 6 cases; 0.2<r<or=0.4, 1 case; 0<r<or=0.2, 1 case). The present method with real-time computer analysis is expected to be a rapid and simple method for evaluating pulmonary function and as an additional examination in conventional chest radiography.
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Affiliation(s)
- Rie Tanaka
- Department of Radiological Technology, School of Health Sciences, College of Medical, Pharmaceutical and Health Sciences, Kanazawa University
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Kawashima H, Tanaka R, Sanada S. [Reproducibility of dynamic chest radiography with a flat-panel detector - respiratory changes in pixel value]. Nihon Hoshasen Gijutsu Gakkai Zasshi 2009; 65:738-44. [PMID: 19602798 DOI: 10.6009/jjrt.65.738] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Dynamic chest radiography using a flat panel detector (FPD) with a large field of view is expected to be a useful pulmonary functional evaluation method based on the respiratory changes in pixel value. For clinical use as a follow-up and therapeutic evaluation tool, the system must have a high degree of reproducibility in measurements of pixel values. The present study was performed to investigate the reproducibility of respiratory changes in pixel values. Dynamic chest radiographs of five normal subjects and one patient were obtained. Imaging was performed twice in each subject. The slope (X-ray translucency variation) was then calculated from the changes in pixel value from distance lung apex-diaphragm, and the slopes of two sequences were compared. The results showed there were no significant differences in changes in pixel value between the two sequences in all normal subject (5 males, p>0.05). The results indicated that the present method has reproducibility for measuring pulmonary function and also has potential as a tool for follow-up and therapeutic evaluation.
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Affiliation(s)
- Hiroki Kawashima
- Division of Health Sciences, Radiology, Graduate School of Medical Science, Kanazawa University
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17
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Pulmonary blood flow evaluation using a dynamic flat-panel detector: feasibility study with pulmonary diseases. Int J Comput Assist Radiol Surg 2009; 4:449-55. [PMID: 20033527 DOI: 10.1007/s11548-009-0364-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2009] [Accepted: 05/11/2009] [Indexed: 10/20/2022]
Abstract
PURPOSE Pulmonary ventilation and circulation dynamics are reflected on fluoroscopic images as changes in X-ray translucency. The purpose of this study was to investigate the feasibility of non-contrast functional imaging using a dynamic flat-panel detector (FPD). METHODS Dynamic chest radiographs of 20 subjects (abnormal, n = 12; normal, n = 8) were obtained using the FPD system. Image analysis was performed to get qualitative perfusion mapping image; first, focal pixel value was defined. Second, lung area was determined and pulmonary hilar areas were eliminated. Third, one cardiac cycle was determined in each of the cases. Finally, total changes in pixel values during one cardiac cycle were calculated and their distributions were visualized with mapping on the original image. They were compared with the findings of lung perfusion scintigraphy. RESULTS In all normal controls, the total changes in pixel value in one cardiac cycle decreased from the hilar region to the peripheral region of the lung with left-right symmetric distribution. In contrast, in many abnormal cases, pulmonary blood flow disorder was indicated as a reduction of changes in pixel values on a mapping image. The findings of mapping image coincided with those of lung perfusion scintigraphy. CONCLUSIONS Dynamic chest radiography using an FPD system with computer analysis is expected to be a new type of functional imaging, which provides pulmonary blood flow distribution additionally.
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Development of functional chest imaging with a dynamic flat-panel detector (FPD). Radiol Phys Technol 2008; 1:137-43. [PMID: 20821139 DOI: 10.1007/s12194-008-0020-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2007] [Revised: 03/11/2008] [Accepted: 03/12/2008] [Indexed: 10/22/2022]
Abstract
Dynamic FPD permits the acquisition of distortion-free radiographs with a large field of view and high image quality. In the present study, we investigated the feasibility of functional imaging for evaluating the pulmonary sequential blood distribution with an FPD, based on changes in pixel values during cardiac pumping. Dynamic chest radiographs of seven normal subjects were obtained in the expiratory phase by use of an FPD system. We measured the average pixel value in each region of interest that was located manually in the heart and lung areas. Subsequently, inter-frame differences and differences from a minimum-intensity projection image, which was created from one cardiac cycle, were calculated. These difference values were then superimposed on dynamic chest radiographs in the form of a color display, and sequential blood distribution images and a blood distribution map were created. The results were compared to typical data on normal cardiac physiology. The clinical effectiveness of our method was evaluated in a patient who had abnormal pulmonary blood flow. In normal cases, there was a strong correlation between the cardiac cycle and changes in pixel value. Sequential blood distribution images showed a normal pattern at determined by the physiology of pulmonary blood flow, with a symmetric distribution and no blood flow defects throughout the entire lung region. These findings indicated that pulmonary blood flow was reflected on dynamic chest radiographs. In an abnormal case, a defect in blood flow was shown as defective in color in a blood distribution map. The present method has the potential for evaluation of local blood flow as an optional application in general chest radiography.
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