Dr. Maria Y. Law Profile

Dr. Maria Y. Law

Professor at Hong Kong Sanatorium and Hospital

SPIE Involvement:

Conference Program Committee | Editor | Author

Proceedings Article | 25 March 2011 Paper

DICOM-based computer-aided evaluation of intensity modulated radiation therapy (IMRT) treatment plans

Fion W. K. Cheung, Maria Y. Y. Law

Proceedings Volume 7967, 79670I (2011) https://doi.org/10.1117/12.877512

KEYWORDS: Computed tomography, Computing systems, Radiotherapy, Tissues, Modulation, Software development, Inspection, MATLAB, Computer aided design, Oncology

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Proceedings Article | 11 March 2008 Paper

A DICOM-RT radiation oncology ePR with decision support utilizing a quantified knowledge base from historical data

Jorge Documet, Brent Liu, Anh Le, Maria Law

Proceedings Volume 6919, 691905 (2008) https://doi.org/10.1117/12.773087

KEYWORDS: Cancer, Radiation oncology, Data mining, Prostate cancer, Oncology, Imaging systems, Radiotherapy, Computed tomography, Information science, Radiology

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Proceedings Article | 21 March 2007 Paper

A knowledge-based imaging informatics approach to managing patients treated with proton beam therapy

B. Liu, H. Huang, M. Law, Anh Le, Jorge Documet, Arek Gertych

Proceedings Volume 6516, 651616 (2007) https://doi.org/10.1117/12.710642

KEYWORDS: Tumors, Computed tomography, Cancer, Standards development, Imaging informatics, Radiotherapy, Oncology, Data modeling, System integration, Bismuth

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Proceedings Article | 16 March 2006 Paper

A DICOM-RT Based ePR radiation therapy information system for decision-support of brain tumor patients

B. J. Liu, M. Law, H. K. Huang, C. S. Zee, L. Chan

Proceedings Volume 6145, 61450S (2006) https://doi.org/10.1117/12.653671

KEYWORDS: Tumors, Brain, Radiotherapy, Imaging systems, Data modeling, Computed tomography, Diagnostics, Data conversion, System integration, Standards development

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The need for comprehensive clinical image data and relevant information in image-guided Radiation Therapy (RT) is becoming steadily apparent. Multiple standalone systems utilizing the most technological advancements in imaging, therapeutic radiation, and computerized treatment planning systems acquire key data during the RT treatment course of a patient. One example are patients treated for brain tumors of greater sizes and irregular shapes that utilize state-of-the-art RT technology to deliver pinpoint accurate radiation doses. Various treatment options are available to the patient from Radiation Therapy to Stereotactic Radiosurgery and utilize different RT modalities. The disparate and complex data generated by the RT modalities along with related data scattered throughout the RT department in RT Information/Management systems, Record & Verify systems, and Treatment Planning Systems (TPS) compromise an efficient clinical workflow since the data crucial for a clinical decision may be time-consuming to retrieve, temporarily missing, or even lost. To address these shortcomings, the ACR-NEMA Standards Committee extended its DICOM (Digital Imaging & Communications in Medicine) Standard from Radiology to RT by ratifying seven DICOM RT objects starting in 1997. However, they are rarely used by the RT community in daily clinical operations. In the past, the research focus of an RT department has primarily been developing new protocols and devices to improve treatment process and outcomes of cancer patients with minimal effort dedicated to integration of imaging and information systems. By combining our past experience in medical imaging informatics research, DICOM-RT expertise, and system integration, our research involves using a brain tumor case model to show proof-of-concept that a DICOM-Standard electronic patient record (ePR) system can be developed as a foundation to perform medical imaging informatics research in developing decision-support tools and knowledge base for future data mining applications. As an initial first step, we will develop a methodology to perform medical imaging informatics research on a clinical scenario where brain tumor patients undergo treatment planning for either radiosurgery or radiation therapy. Specifically, we will research the "inverse treatment planning" process that is used for those types of treatments and integrate decision-support knowledge and tools designed to assist in the decision-making process, thus introducing an improved "knowledge-enhanced treatment planning" approach.

Proceedings Article | 15 April 2005 Paper

A DICOM-RT based ePR radiation therapy information system for managing brain tumor patients

Brent Liu, Maria Law, H. K. Huang, C. S. Zee, Lawrence Chan

Proceedings Volume 5748, (2005) https://doi.org/10.1117/12.594617

KEYWORDS: Tumors, Brain, Data modeling, Radiotherapy, Imaging systems, Picture Archiving and Communication System, Process modeling, Radiology, Computed tomography, System integration

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The need for comprehensive clinical image data and relevant information in image-guided Radiation Therapy (RT) is becoming steadily apparent. Multiple standalone systems utilizing the most technological advancements in imaging, therapeutic radiation, and computerized treatment planning systems acquire key data during the RT treatment course of a patient. One example are patients treated for brain tumors of greater sizes and irregular shapes that utilize state-of-the-art RT technology to deliver pinpoint accurate radiation doses. One such system, the Cyberknife, is a radiation treatment system that utilizes image-guided information to control a multi-jointed, six degrees of freedom, robotic arm to deliver precise and required radiation dose to the tumor site of a cancer patient. The image-guided system is capable of tracking the lesion orientations with respect to the patient’s position throughout the treatment process. This is done by correlating live radiographic images with pre-operative, CT and MR imaging information to determine relative patient and tumor position repeatedly over the course of the treatment. The disparate and complex data generated by the Cyberknife system along with related data is scattered throughout the RT department compromising an efficient clinical workflow since the data crucial for a clinical decision may be time-consuming to retrieve, temporarily missing, or even lost. To address these shortcomings, the ACR-NEMA Standards Committee extended its DICOM (Digital Imaging & Communications in Medicine) Standard from Radiology to RT by ratifying seven DICOM RT objects starting in 1997. However, they are rarely used by the RT community in daily clinical operations. In the past, the research focus of an RT department has primarily been developing new protocols and devices to improve treatment process and outcomes of cancer patients with minimal effort dedicated to integration of imaging and information systems. Our research, tightly-coupling radiology and RT information systems, represents a new frontier for medical informatics research that has never been previously considered. By combining our past experience in medical imaging informatics, DICOM-RT expertise, and system integration, we propose to test our hypothesis using a brain tumor case model that a DICOM-RT electronic patient record (ePR) system can improve clinical workflow efficiency for treatment and management of patients. This RT ePR system integrated with clinical images and RT data can impact the RT department in a similar fashion as PACS has already successfully done for Radiology. As a first step, the specific treatment case of patients with brain tumors specifically patients treated with the Cyberknife system will be the initial proof of concept for the research design, implementation, evaluation, and clinical relevance.

Proceedings Article | 19 April 2004 Paper

A RIS/PACS simulator with web-based image distribution and display system for education

Zheng Zhou, H. Huang, Brent Liu, Fei Cao, Jianguo Zhang, Greg Mogel, Maria Law

Proceedings Volume 5371, (2004) https://doi.org/10.1117/12.535742

KEYWORDS: Picture Archiving and Communication System, Device simulation, Medical imaging, Displays, Digital imaging, Medicine, Computer security, Diagnostics, Image processing, Surgery

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Proceedings Article | 19 April 2004 Paper

The DICOM-based radiation therapy information system

Maria Law, Lawrence Chan, Xiaoyan Zhang, Jianguo Zhang

Proceedings Volume 5371, (2004) https://doi.org/10.1117/12.543634

KEYWORDS: Radiotherapy, Picture Archiving and Communication System, Data modeling, Visualization, Databases, Excel, Human-machine interfaces, Data archive systems, Medical imaging, Data conversion

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Proceedings Article | 19 May 2003 Paper

Educational RIS/PACS simulator

Zheng Zhou, Maria Law, H. Huang, Fei Cao, Brent Liu, Jianguo Zhang, Greg Mogel, Jun Zhuang

Proceedings Volume 5033, (2003) https://doi.org/10.1117/12.481940

KEYWORDS: Picture Archiving and Communication System, Device simulation, Digital imaging, Radiology, Medical imaging, Medicine, Imaging systems, Chromium, Diagnostics, Medical imaging applications

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Proceedings Article | 19 May 2003 Paper

The data model of a PACS-based DICOM radiation therapy server

Maria Law, H. Huang, Xiaoyan Zhang, Jianguo Zhang

Proceedings Volume 5033, (2003) https://doi.org/10.1117/12.481939

KEYWORDS: Radiotherapy, Data modeling, Picture Archiving and Communication System, Diagnostics, Computed tomography, Medicine, Data communications, Radiography, Radiology, Magnetic resonance imaging

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Proceedings Article | 16 May 2002 Paper

DICOM and imaging informatics-based radiation therapy (RT) server

Maria Law, H. Huang, Xiaoyan Zhang, Jianguo Zhang

Proceedings Volume 4685, (2002) https://doi.org/10.1117/12.467002

KEYWORDS: Radiotherapy, Picture Archiving and Communication System, Imaging systems, Computed tomography, System integration, Image fusion, Diagnostics, Medicine, Tumors, Virtual reality

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Proceedings Article | 7 August 2001 Paper

Implementation of a PACS for radiography training and clinical service in a university setting through a multinational effort

Fuk-hay Tang, Yuen Law, Jianguo Zhang, Hai Liu, Tony Chang, Koyo Matsuda, Fei Cao

Proceedings Volume 4323, (2001) https://doi.org/10.1117/12.435458

KEYWORDS: Picture Archiving and Communication System, Radiography, Analytical research, Laser scanners, 3D scanning, Radiotherapy, Medical imaging, Imaging systems, Scanners, Manufacturing

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Showing 5 of 11 publications

SPIE Conference Volume | 17 April 2014

Medical Imaging 2014: PACS and Imaging Informatics: Next Generation and Innovations

SPIE Conference Volume | 15 April 2013

Medical Imaging 2013: Advanced PACS-based Imaging Informatics and Therapeutic Applications

Conference Committee Involvement (16)