Chia-Chi Teng

Associate Professor of Information Technology

 School of Technology

Brigham Young Universiry

Office: CTB 265G

Phone: (801) 422-1297

FAX: (801) 422-0490

Email: ccteng at byu.edu

 

Schedule   Biography   VITAE   Publications   Patents   Research and Development

 

 

Research Projects

OpenWIC and WIC Online

The Special Supplemental Nutrition Program for Women, Infants and Children (known as WIC) is a federal program administered by the state and local agencies to assist eligible women, infants and children to achieve improved nutrition and health status by providing nutrition education, selected supplemental foods, and health referrals in a caring, supportive environment.

OpenWIC is a free online service to provide helpful nutrition and health content primarily targeted to the participants of the WIC program, but also to anyone who might be interested in these subjects.

CT Image Registration and Retrieval

My Ph.D. dissertation describes a new methodology for obtaining contours of lymph node regions in CT scans of cancer patients. The method first identifies the most similar reference patients using a similarity measure based on landmarks that can be reliably extracted from the images. It then uses a constrained optimization procedure to find the best deformable mapping from the new patient to the reference patient. The mapping is used to map the predrawn contours on the reference patient to the CT scan of the new patient, so that the lymph node regions can be reliably found and the radiation treatment accordingly planned.

 

 

 

3D Skull Shape Analysis

Craniosynostosis is a congenital disease which consists of premature fusion of one or more cranial sutures, resulting in an abnormal head shape. Patients are usually treated by cranial vault expansion surgery to minimize the potential for brain damage. Full thickness cranial defects result from the expansion surgery, with the size directly proportional to the degree of expansion. The growing cranial skeleton has a unique regenerative capacity to heal small defects; however, when this regenerative capacity is exceeded, the defect is classed as one of critical size and requires surgical treatment to restore protection to the underlying brain. Although what constitutes a critical cranial defect is well known in animal models, it is not as clear for pediatric human skulls. The purpose of this study is to investigate a method that can effectively and accurately quantify healing of the pediatric cranial defect surface after cranial vault expansion surgery for craniosynostosis.

 

 

Time-lapsed Microscopic Image Analysis

Digital image processing in the field of time-lapse microscopy and biological research has been an interesting research area to provide statistical data of cellular dynamics to the field of cell biology. Digital image processing enables rapid and consistent quantification of qualitative observations. The image processing model examined here provides a tool for the biologists to identify structures called retraction fibers (RF) that are formed during Epithelial-Mesenchyme Transition (EMT), an important developmental process which also occurs during cancer metastasis. Quantifying RF formation is an important tool for biologists studying cellular regulation of EMT. The dynamic EMT process is captured using time-lapse microscopy. We use computer vision algorithms to detect and track the RF in image sequences of cells undergoing EMT to generate statistical information such as the number of RF formed during a window, [m1] lifetime of the RF, and their geometric dimension. This information can in turn be used by the biologist to quantitatively measure the extent of EMT under different test conditions. 

 

 

Managing DICOM Image Metadata with Desktop Operating Systems Native User Interface


Picture Archiving and Communication System (PACS) is commonly used in the hospital environment as the tool to manage radiological images which has standardized on the DICOM format. PACS usually consists of dedicated high performance server computers to provide functionalities of acquisition, storage, retrieval, editing (metadata), distribution and presentation. As the personal computers become more powerful, average desktop workstations can process large amount of data with performance comparable to the high cost dedicated systems. Recent desktop operating systems (OS) such as Microsoft Windows Vista have built-in indexing and search capability integrated with the graphic user interface (GUI) to allow fast retrieval and customized presentation for digital media and documents. Integrating DICOM image management into desktop OS GUI can reduce the cost of software acquisition, maintenance, and user training. We developed DicomProp as a Windows plug-in to provide an easy to use alternative for managing DICOM images on desktop computers.

 

More detail at http://dicomprop.groups.et.byu.net/

 

 

Cloud-based Medical Image Archive and Management

Growing long-term cost of managing an onsite medical imaging archive has been a subject which the health care industry struggles with. Based on the current trend, it is estimated that over 1 billion diagnostic imaging procedures will be performed in the United States during year 2014, generating about 100 Petabytes of data. The high volume of medical images is leading to scalability and maintenance issues with healthcare providers’ onsite picture archiving and communication system (PACS) and network. Cloud computing promises lower cost, high scalability, availability and disaster recoverability which can be a natural solution some of the problems we faced for long-term medical image archive. A prototype system was implemented to study such as solution on one of the industry leading cloud computing platform, Microsoft Windows Azure. It includes a Digital Imaging and Communications in Medicine (DICOM) server which handles standard store/query/retrieve requests; a DICOM image indexer that parses the metadata and store them in a SQL Azure database; and a web UI for searching and viewing archived images based on patient and image attributes. The comprehensive tools and functionality of Windows Azure made it an ideal platform to develop and deploy this kind of service oriented applications.

 

 

 

 

 

 

 


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