6 Works

Techniques and software tool for 3D multimodality medical image segmentation

Issam M. El Naqa, Joseph Deasy, Jie Zheng, Deshan Yang & Ahmad Nofal
The era of noninvasive diagnostic radiology and image-guided radiotherapy has witnessed burgeoning interest in applying different imaging modalities to stage and localize complex diseases such as atherosclerosis or cancer. It has been observed that using complementary information from multimodality images often significantly improves the robustness and accuracy of target volume definitions in radiotherapy treatment of cancer. In this work, we present techniques and an interactive software tool to support this new framework for 3D multimodality...

A Graphical Tool and Methods for Assessing Margin Definition From Daily Image Deformations

David Mansur, Gisele Pereira, Issam M. El Naqa, Rawan Al-Lozi, Aditya P. Apte & Matthew Johnson
Estimating the proper margins for the planning target volume (PTV) could be a challenging task in cases where the organ undergoes significant changes during the course of radiotherapy treatment. Developments in image-guidance and the presence of onboard imaging technologies facilitate the process of correcting setup errors. However, estimation of errors to organ motions remain an open question due to the lack of proper software tools to accompany these imaging technological advances. Therefore, we have developed...

Pilot Study of a Radiation Oncology Telemedicine Platform

Ceferino Obcemea, Ceferino Obcemea, Sang Sim, Boris A. Mueller & James Lee
Purpose: A pilot study was undertaken to develop an integrated telemedicine platform for radiation oncology at Memorial Sloan-Kettering Cancer Center (MSKCC) and its regional sites. The platform consisted of a computer system with simultaneous display of multiple live data portals including 1) video-conferencing between physicians, 2) radiology, and 3) radiation treatment-planning system (RTPS). Methods and Materials: Two MSKCC regional centers were set up with a widescreen monitor, a dedicated computer, and a web camera with...

Automated contrast painting for position verification in radiotherapy

Paul-Martin Putora, Ludovit Paulis & Ludwig Plasswilm
The influence of information technology in medicine has been constantly rising and represents a central part in many medical disciplines, especially radio-oncology. For the proper delivery of radiation treatment, the correct position of the patient is essential. To verify the correct position of the patient radiological images are made. In order to compare positions, contours of structures (often bones) may be used, these need to be identified and painted. The software that was provided with...

Towards Prediction of Radiation Pneumonitis Arising from Lung Cancer Patients Using Machine Learning Approaches

Aditya Apte, Jeffrey Bradley, Issam M. El Naqa, Jung Hun Oh & Rawan Al-Lozi
Radiation pneumonitis (RP) is a potentially fatal side effect arising in lung cancer patients who receive radiotherapy as part of their treatment. For the modeling of RP outcomes data, several predictive models based on traditional statistical methods and machine learning techniques have been reported. However, no guidance to variation in performance has been provided to date. In this study, we explore several machine learning algorithms for classification of RP data. The performance of these classification...

Dodes (diagnostic nodes) for Guideline Manipulation

Ludwig Plasswilm, Marcel Blattner, Alexander Papachristofilou, Fabio Mariotti, Paul-Martin Putora & Beatrice Paoli
Background: Treatment recommendations (guidelines) are commonly represented in text form. Based on parameters (questions) recommendations are defined (answers). Objectives: To improve handling, alternative forms of representation are required. Methods: The concept of Dodes (diagnostic nodes) has been developed. Dodes contain answers and questions. Dodes are based on linked nodes and additionally contain descriptive information and recommendations. Dodes are organized hierarchically into Dode trees. Dode categories must be defined to prevent redundancy. Results: A centralized and...

Registration Year

  • 2010

Resource Types

  • Workflow