[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-128504-en":3,"doc-seo-128504-105":30,"detail-sidebar-cat-0-en-105":92},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},128504,687207017582,"Himbo","https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d",8,"Research & Report","Cancer Assessment with Optical Imaging - Algorithms and Machine Learning","This dissertation develops and evaluates optical imaging methods combined with algorithmic and machine learning approaches to support cancer assessment. It focuses on breast, colorectal, and ovarian imaging modalities, emphasizing diffuse optical tomography and complementary techniques such as optical coherence tomography and spatial frequency domain imaging. Key contributions include modeling and correcting optode coupling errors for more reliable reconstructions, and using ultrasound segmentation to guide edge artifact reduction. Simulation, phantom, and clinical examples support the effectiveness of the proposed error correction and artifact mitigation strategies.","Washington University in St. Louis  \nWashington University Open Scholarship  \n\n| McKelvey School of Engineering Theses & Dissertations | McKelvey School of Engineering |\n| --- | --- |\n| Spring 5-15-2023\u003Cbr>Cancer Assessment with Optical Imaging: Algorithms and Machine Learning\u003Cbr>Shuying Li\u003Cbr>Washington University in St. Louis\u003Cbr>Follow this and additional works at: [https://openscholarship.wustl.edu/eng_etds](https://openscholarship.wustl.edu/eng_etds) |  |\n\nRecommended Citation  \nLi, Shuying, \"Cancer Assessment with Optical Imaging: Algorithms and Machine Learning\" (2023) . McKelvey School of Engineering Theses & Dissertations. 892.  \n[https://openscholarship.wustl.edu/eng_etds/892](https://openscholarship.wustl.edu/eng_etds/892)  \nThis Dissertation is brought to you for free and open access by the McKelvey School of Engineering at Washington University Open Scholarship. It has been accepted for inclusion in McKelvey School of Engineering Theses & Dissertations by an authorized administrator of Washington University Open Scholarship. For more information, please contact [digital@wumail.wustl.edu](digital@wumail.wustl.edu).  \nWASHINGTON UNIVERSITY IN ST. LOUIS  \nMcKelvey School of Engineering Department of Biomedical Engineering  \nDissertation Examination Committee: Quing Zhu, Chair Adam Bauer  \nAbhinav Jha  \nUmberto Villa  \nChao Zhou  \nCancer Assessment with Optical Imaging: Algorithms and Machine Learning by  \nShuying Li  \nA dissertation presented to the McKelvey School of Engineering of Washington University in partial fulfillment of the requirements for the degree of Doctor of Philosophy  \nMay 2023 St. Louis, Missouri  \n© 2023, Shuying Li  \nTable of Contents  \n[List of Figures ................................................................................................................................ vi](List of Figures ................................................................................................................................ vi)  \n[List of Tables ...............................](List of Tables ...............................).................................................................................................. ix  \nAcknowledgments........................................................................................................................... x  \nAbstract ......................................................................................................................................... xii  \nChapter 1: Introduction – Cancer Assessment with Optical Imaging............................................. 1  \n1.1 Breast Cancer Imaging ..................................................................................................... 1  \n1.1.1 Motivation ............................................................................................................................. 1  \n1.1.2 Diffuse Optical Tomography (DOT) .................................................................................... 1  \n1.2 Colorectal Cancer Imaging............................................................................................... 3  \n1.2.1 Motivation ............................................................................................................................. 3  \n1.2.2 Optical Coherence Tomography (OCT)................................................................................ 3  \n1.2.3 Spatial Frequency Domain Imaging (SFDI) ......................................................................... 4  \n1.3 Ovarian Cancer Imaging .................................................................................................. 5  \n1.3.1 Motivation ............................................................................................................................. 5  \n1.3.2 OCT for Imaging Ovaries and Fallopian Tubes.................................................................... 5  \n1.4 Overview of the Dissertation ..............................","cbCaiq0DfyXZW9PE","https://ap.wps.com/l/cbCaiq0DfyXZW9PE","pdf",7420022,1,159,"English","en",105,"# Chapter 1: Introduction – Cancer Assessment with Optical Imaging\n## Breast Cancer Imaging\n## Colorectal Cancer Imaging\n## Ovarian Cancer Imaging\n## Overview of the Dissertation\n# Chapter 2: The Effects and Correction of Optode Coupling Errors in Breast Imaging Using DOT\n## Background\n## Materials and Methods\n## Results\n## Discussion and Summary\n# Chapter 3: Ultrasound Segmentation-Guided Edge Artifact Reduction in DOT","[{\"question\":\"What cancer types and optical imaging techniques are covered in the dissertation?\",\"answer\":\"The dissertation addresses breast, colorectal, and ovarian cancer assessment, using diffuse optical tomography and related modalities including optical coherence tomography and spatial frequency domain imaging.\"},{\"question\":\"How does the dissertation handle optode coupling errors in breast imaging?\",\"answer\":\"It models optode coupling mismatches, then applies reconstruction methods with outlier removal algorithms to correct image artifacts. Simulation, phantom, and clinical examples are used to demonstrate performance.\"},{\"question\":\"What is the purpose of ultrasound segmentation in edge artifact reduction?\",\"answer\":\"Ultrasound segmentation is used to guide edge artifact reduction in diffuse optical tomography, improving the quality of reconstructed images by mitigating boundary-related artifacts.\"}]","Cancer Assessment with Optical Imaging - Algorithms and Machine Learning | PDF",1786001430,401,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":87,"head_meta":89,"extra_data":91,"updated_unix":28},"cancer-assessment-with-optical-imaging-algorithms-and-machine-learning","",{"@graph":36,"@context":86},[37,54,69],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/cancer-assessment-with-optical-imaging-algorithms-and-machine-learning/128504/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-24","2026-08-06",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82],{"name":73,"@type":74,"acceptedAnswer":75},"What cancer types and optical imaging techniques are covered in the dissertation?","Question",{"text":76,"@type":77},"The dissertation addresses breast, colorectal, and ovarian cancer assessment, using diffuse optical tomography and related modalities including optical coherence tomography and spatial frequency domain imaging.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"How does the dissertation handle optode coupling errors in breast imaging?",{"text":81,"@type":77},"It models optode coupling mismatches, then applies reconstruction methods with outlier removal algorithms to correct image artifacts. Simulation, phantom, and clinical examples are used to demonstrate performance.",{"name":83,"@type":74,"acceptedAnswer":84},"What is the purpose of ultrasound segmentation in edge artifact reduction?",{"text":85,"@type":77},"Ultrasound segmentation is used to guide edge artifact reduction in diffuse optical tomography, improving the quality of reconstructed images by mitigating boundary-related artifacts.","https://schema.org",{"og:url":52,"og:type":88,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":90,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":93},[94,98,102,106,111,116,121,124,129,132,136],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":95,"show_sort_weight":96,"slug":97},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":99,"show_sort_weight":100,"slug":101},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":103,"show_sort_weight":104,"slug":105},"Exam",70,"exam",{"id":107,"doc_module":4,"doc_module_name":46,"category_name":108,"show_sort_weight":109,"slug":110},5,"Comic",60,"comic",{"id":112,"doc_module":4,"doc_module_name":46,"category_name":113,"show_sort_weight":114,"slug":115},6,"Technology",50,"technology",{"id":117,"doc_module":4,"doc_module_name":46,"category_name":118,"show_sort_weight":119,"slug":120},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":122,"slug":123},30,"research-report",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":126,"show_sort_weight":127,"slug":128},9,"Religion & Spirituality",20,"religion-spirituality",{"id":127,"doc_module":4,"doc_module_name":46,"category_name":130,"show_sort_weight":127,"slug":131},"World Cup","world-cup",{"id":133,"doc_module":4,"doc_module_name":46,"category_name":134,"show_sort_weight":133,"slug":135},10,"Lifestyle","lifestyle",{"id":137,"doc_module":4,"doc_module_name":46,"category_name":138,"show_sort_weight":107,"slug":139},19,"General","general"]