[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-332223-105":3,"detail-sidebar-cat-0-en-105":81,"doc-detail-332223-en":130},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":74,"head_meta":76,"extra_data":78,"updated_unix":80},105,"en","using-torsional-wave-elastography-to-evaluate-spring-pot-parameters-in-skin-tumor-mimicking-phantoms","Using Torsional Wave Elastography to Evaluate Spring Pot Parameters in Skin Tumor Mimicking Phantoms","","Estimating tissue parameters of skin tumors is essential for dermatologic diagnosis and therapy, yet the search for sensitive biomarkers depends on an optimal rheological model to simulate skin behavior. The layered structure of skin further increases the complexity of parameter identification. This study introduces a fractional rheological spring-pot model combined with inverse-problem signal analysis for torsional wave elastography (TWE) using skin tumor-mimicking bi-layer phantoms. Spring-pot parameters are solved via SP-FDTD, and agreement between experimental TWE data and simulated model outputs is assessed using Pearson correlation, dynamic time warping, and time-frequency representation.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & Report",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/using-torsional-wave-elastography-to-evaluate-spring-pot-parameters-in-skin-tumor-mimicking-phantoms/332223/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/using-torsional-wave-elastography-to-evaluate-spring-pot-parameters-in-skin-tumor-mimicking-phantoms/332223.png","ImageObject",300,407,{"name":42,"@type":43},"Aria","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-11-02","2026-09-21",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",7,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"Why are tissue parameters important for skin tumor diagnosis and treatment?","Question",{"text":63,"@type":64},"Accurate tissue parameter estimation is crucial for effective diagnosis and therapy in dermatology. It supports identifying sensitive biomarkers and simulating skin behavior for parameter inference.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"What challenge complicates estimating skin tumor parameters?",{"text":68,"@type":64},"The skin’s multi-layered structure and the need for an optimal rheological model make the inverse estimation problem complex. The study addresses this by using a fractional rheological model with signal analysis.",{"name":70,"@type":61,"acceptedAnswer":71},"How does the study validate the torsional wave elastography results?",{"text":72,"@type":64},"Experimental measurements from skin tumor-mimicking bi-layer phantoms are compared with simulations from the SP-FDTD spring-pot model. Validation uses Pearson correlation, dynamic time warping, and time-frequency representation.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},332223,1790196168,{"code":4,"msg":82,"data":83},"success",[84,88,92,96,101,106,110,114,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":89,"show_sort_weight":90,"slug":91},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":93,"show_sort_weight":94,"slug":95},"Exam",70,"exam",{"id":97,"doc_module":4,"doc_module_name":25,"category_name":98,"show_sort_weight":99,"slug":100},5,"Comic",60,"comic",{"id":102,"doc_module":4,"doc_module_name":25,"category_name":103,"show_sort_weight":104,"slug":105},6,"Technology",50,"technology",{"id":55,"doc_module":4,"doc_module_name":25,"category_name":107,"show_sort_weight":108,"slug":109},"Healthcare",40,"healthcare",{"id":111,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":112,"slug":113},8,30,"research-report",{"id":115,"doc_module":4,"doc_module_name":25,"category_name":116,"show_sort_weight":117,"slug":118},9,"Religion & Spirituality",20,"religion-spirituality",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":117,"slug":121},"World Cup","world-cup",{"id":123,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":123,"slug":125},10,"Lifestyle","lifestyle",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":97,"slug":129},19,"General","general",{"code":4,"msg":82,"data":131},{"doc_id":79,"user_id":132,"nickname":42,"user_avatar":133,"doc_module":4,"category_id":111,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":127,"language":139,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":12,"update_tm":143,"read_time":144,"preview_page_count":4},2336464648322,"https://ap-avatar.wpscdn.com/avatar/2200025388227c56fec?_k=1778556882303663488","[www. nature.com/scientificreports](www. nature.com/scientificreports)  \nOPEN  \nUsing torsional wave elastography to evaluate spring pot parameters in skin tumor mimicking phantoms  \nYousef Almashakbeh1*, Hirad Shamimi2,3, Antonio Callejas2,3,4,5 & Guillermo Rus2,3,4,5  \nEstimating the tissue parameters of skin tumors is crucial for diagnosis and effective therapy in dermatology and related fields. However, identifying the most sensitive biomarkers require an optimal rheological model for simulating skin behavior this remains an ongoing research endeavor. Additionally, the multi-layered structure of the skin introduces further complexity to this task. In order to surmount these challenges, an inverse problem methodology, in conjunction with signal analysis techniques, is being employed. In this study, a fractional rheological model is presented to enhance the precision of skin tissue parameter estimation from the acquired signal from torsional wave elastography technique (TWE) on skin tumor-mimicking phantoms for lab validation and the estimation of the thickness of the cancerous layer. An exhaustive analysis of the spring-pot model (SP) solved by the finite difference time domain (FDTD) is conducted. The results of experiments performed using aTWE probe designed and prototyped in the laboratory were validated against ultrafast imaging carried out by the Verasonics Research System. Twelve tissue-mimicking phantoms, which precisely simulated the characteristics of skin tissue, were prepared for our experimental setting. The experimental data from these bi-layer phantoms were measured using aTWE probe, and the parameters of the skin tissue were estimated using inverse problem-solving. The agreement between the two datasets was evaluated by comparing the experimental data obtained from the TWE technique with simulated data from the SP-FDTD model using Pearson correlation, dynamic time warping (DTW), and time-frequency representation. Our findings show that the SP-FDTD model and TWE are capable of determining the mechanical properties of both layers in a bilayer phantom, using a single signal and an inverse problem approach. The ultrafast imaging and the validation ofTWE results further demonstrate the robustness and reliability of our technology for a realistic range of phantoms. This fusion of the SP-FDTD model and TWE, as well as inverse problem-solving methods has the potential to have a considerable impact on diagnoses and treatments in dermatology and related fields.  \nThe epidermis, the outermost layer of the skin, is susceptible to uncontrolled cellular proliferation of abnormal cells, leading to skin cancer. This condition arises from unrepaired DNA damage that precipitates mutations, compelling skin cells to proliferate rapidly and form cancerous tumors1. In the United States, the prevalence of skin cancer exceeds that of all other cancers combined, making it the most common malignancy worldwide2. Statistically, one in five individuals will develop skin cancer by the age of 703. Early diagnosis and treatment are crucial, as most cases are treatable in their initial stages.  \nMechanical analysis of human skin is a significant obstacle in many fields. For example, the quantification of the mechanical properties of human skin is helpful in the diagnosis of skin cancer. Several non-invasive methods have been developed for the assessment of skin mechanical properties. The most frequently utilized methods for measurement include suction4,5, torsion6,7, and traction8. The main disadvantage of these methods is the alteration of the skin’s natural state of tension. This is because the experimental device needs to be attached to the epidermis while being tested. As a result, it is extremely difficult to estimate and extract the preload value induced by mechanical devices. This can affect the measured values of mechanical properties.  \n1Department of Allied Engineering Sciences, Facility of Engineering, The Hashemite University, Za","cbCaitjdvan2zkPr","https://ap.wps.com/l/cbCaitjdvan2zkPr","pdf",3364266,"English","# Introduction\n## Skin cancer significance and need for early diagnosis\n## Mechanical assessment challenges and limitations of existing methods\n# Background on elastography\n## Shear stiffness, static/dynamic elastography, and motivation for TWE\n# Methodology (from provided text)\n## Fractional rheological modeling and inverse-problem framework\n## SP-FDTD analysis and experimental validation approach","[{\"question\":\"Why are tissue parameters important for skin tumor diagnosis and treatment?\",\"answer\":\"Accurate tissue parameter estimation is crucial for effective diagnosis and therapy in dermatology. It supports identifying sensitive biomarkers and simulating skin behavior for parameter inference.\"},{\"question\":\"What challenge complicates estimating skin tumor parameters?\",\"answer\":\"The skin’s multi-layered structure and the need for an optimal rheological model make the inverse estimation problem complex. The study addresses this by using a fractional rheological model with signal analysis.\"},{\"question\":\"How does the study validate the torsional wave elastography results?\",\"answer\":\"Experimental measurements from skin tumor-mimicking bi-layer phantoms are compared with simulations from the SP-FDTD spring-pot model. Validation uses Pearson correlation, dynamic time warping, and time-frequency representation.\"}]","Using Torsional Wave Elastography to Evaluate Spring Pot Parameters in Skin Tumor Mimicking Phantoms | PDF",1789997414,48]