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This experimental study used sponge phantoms and a compression machine to simulate respiratory changes and compared UHR and NR modes using binarization and homology-based image analysis. UHR-CT detected more simulated peripheral air spaces, showed smaller deviations versus reference smartphone images, and reproduced the expected gradual reduction with compression percentages, unlike NR DVCT.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/investigation-into-the-utility-of-ultra-high-resolution-mode-on-dynamic-ventilation-computed-tomography-using-sponge-phantoms/455631/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/investigation-into-the-utility-of-ultra-high-resolution-mode-on-dynamic-ventilation-computed-tomography-using-sponge-phantoms/455631.png","ImageObject",300,407,{"name":92,"@type":93},"Theodore","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-05","2026-09-30",true,{"@type":102,"interactionType":103,"userInteractionCount":19},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What problem does the study address about dynamic-ventilation CT?","Question",{"text":112,"@type":113},"It evaluates whether ultra-high-resolution (UHR) CT provides an advantage for four-dimensional dynamic-ventilation CT (DVCT) beyond what is already known from static imaging.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How was the DVCT simulation performed in the experiment?",{"text":117,"@type":113},"Sponge phantoms were used along with a compression machine to simulate respiratory changes and enable comparison between UHR-CT and NR-CT under controlled compression percentages.",{"name":119,"@type":110,"acceptedAnswer":120},"What were the key findings when comparing UHR-CT with NR-CT?",{"text":121,"@type":113},"UHR-CT detected more simulated peripheral air spaces, produced higher peak b0 values from homology-based analysis, and showed smaller deviations in measured SPAS dimensions versus smartphone reference images; UHR DVCT also showed trends consistent with the reference images across compression levels.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},455631,1790789991,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":19,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145},7971461740886,"https://ap-avatar.wpscdn.com/davatar_3d24733baf745e90a7e4bdd5f77d97b2","[www. nature.com/scientificreports](www. nature.com/scientificreports)  \nOPEN  \nInvestigation into the utility of ultra-high-resolution mode on dynamic-ventilation computed tomography using sponge phantoms  \nRyo Uemura1􀀍, Yukihiro Nagatani1􀀍, Jun Matsubayashi2, Akitoshi Inoue1, Kyohei Iwai1, Kenichi Kamiya3, Kentaro Doi4,5, Akira Sato4, Hodaka Numasaki4, Kazuaki Nakane4, Masahiro Yanagawa6, Noriyuki Tomiyama6 & Yoshiyuki Watanabe1  \nUltra-high-resolution (UHR) computed tomography (CT) provides more detailed information on peripheral lung structures than normal-resolution (NR) CT for static images. However, its potential advantage in four-dimensional dynamic-ventilation CT (DVCT) has not been investigated. This experimental study used sponge phantoms and a compression machine to simulate respiratory changes and assess the superiority of the UHR mode on DVCT. We obtained results that demonstrated:  \n(1) regardless of the compression percentage, the number of simulated peripheral air spaces (SPAS) detected on UHR-CT was greater than on NR-CT, as assessed using a simple binarization method. Similarly, peak b0 values as a representative of total SPAS count obtained by homology-based image analysis were higher on UHR-CT than on NR-CT. (2) The deviation in measured longitudinal diameter and area of the SPAS relative to the reference standard—smartphone images—was smaller on UHR-CT than on NR-CT. (3) UHR DVCT demonstrated a gradual reduction in the longitudinal diameter and area of SPAS with increasing compression percentages, consistent with smartphone images, whereas NR DVCT did not. These findings suggested that UHR mode is superior to NR mode in depicting peripheral lung structures for DVCT as well as static images.  \nImaging diagnosis for pulmonary diseases is primarily based on morphological evaluation modalities obtained at peak-inspiratory breath-hold, such as chest X-ray and computed tomography (CT) . Previous studies using high-resolution CT, with pixel sizes of 0.5 to 2 mm, have identified more useful and specific radiological findings for numerous pulmonary diseases, including chronic obstructive pulmonary disease, interstitial lung disease, and pulmonary malignant tumors. Recently, ultra-high-resolution (UHR) CT with pixel sizes of 0.25 mm or less has been developed and made commercially available, and its clinical usefulness has been reported for the depiction of smaller structures such as peripheral bronchi1–3.  \nPulmonary functional imaging has been recognized as more essential for the evaluation of abnormalities that conventional static imaging modalities cannot depict and for evaluating therapeutic effects. Ventilation and perfusion scintigraphy and paired inspiratory and expiratory CT are complimentarily used with additional information for regional or heterogeneous impairment in clinical practice as pulmonary functional imaging modalities4–6. However, information provided by these modalities are not necessarily sufficient. In contrast, several novel imaging modalities have recently shown promise for evaluating pulmonary function. These include dynamic chest radiography7,8, ventilation imaging with dual-energy CT or magnetic resonance imaging (MRI)  \n1Department of Radiology, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu, Shiga 520-2192, Japan. 2Center for Clinical Research and Advanced Medicine, Shiga University of Medical Science, SetaTsukinowacho, Otsu, Shiga 520-2192, Japan. 3Division of Cardiovascular Surgery, Department of Surgery, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu, Shiga 520-2192, Japan. 4Department of Medical Physics and Engineering, The University of Osaka Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan.  \n5Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shin-machi, Settsu-shi, Osaka 566-0002, Japan. 6Department of Radiology, The University","cbCaihdivfQ6l3Nd","https://ap.wps.com/l/cbCaihdivfQ6l3Nd","pdf",2774271,13,"English","# Introduction\n## High-resolution vs ultra-high-resolution CT for lung imaging\n## Need for functional pulmonary imaging and emerging dynamic modalities\n## Rationale for studying UHR mode in DVCT and study approach","[{\"question\":\"What problem does the study address about dynamic-ventilation CT?\",\"answer\":\"It evaluates whether ultra-high-resolution (UHR) CT provides an advantage for four-dimensional dynamic-ventilation CT (DVCT) beyond what is already known from static imaging.\"},{\"question\":\"How was the DVCT simulation performed in the experiment?\",\"answer\":\"Sponge phantoms were used along with a compression machine to simulate respiratory changes and enable comparison between UHR-CT and NR-CT under controlled compression percentages.\"},{\"question\":\"What were the key findings when comparing UHR-CT with NR-CT?\",\"answer\":\"UHR-CT detected more simulated peripheral air spaces, produced higher peak b0 values from homology-based analysis, and showed smaller deviations in measured SPAS dimensions versus smartphone reference images; UHR DVCT also showed trends consistent with the reference images across compression levels.\"}]","Investigation into the utility of ultra-high-resolution mode on dynamic-ventilation computed tomography using sponge phantoms | PDF",1790743671,33]