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Relation-Aware Spreadsheets for Multimodal Volume Segmentation and Visualization

Teacher Information

Name
WU Yingcai ZJU Faculty Homepage
Department
INTL Campus
Research
Visual Analytics, Information Visualization, Human Computer Interaction
Document Type
Book Chapter
Machine Learning in Medical Imaging

Publication

Chapter Title
Relation-Aware Spreadsheets for Multimodal Volume Segmentation and Visualization
Author
Lin Zheng, Yingcai Wu & Kwan-liu Ma
Page
92–99
Source Title
Machine Learning in Medical Imaging
Subtitle
First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010, Proceedings
Author/Author of Source
Fei Wang, Pingkun Yan, Kenji Suzuki, Dinggang Shen
Publisher
Springer
P-ISBN
9783642159473
E-ISBN
9783642159480
Abstract

Multimodal volume data commonly found in medical imaging applications present both opportunities and challenges to segmentation and visualization tasks. This paper presents a user directed volume segmentation system. Through a spreadsheets interface, the user can interactively examine and refine segmentation results obtained from automatic clustering. In addition, the user can isolate or highlight a feature of interest in a volume based on different modalities, and see the corresponding segmented results. Our system is easy to use since the preliminary segmentation results are organized and presented to the user in a relation-aware fashion based on the spatial relations between the segmented regions. We demonstrate this system using two multimodal datasets.

DOI
https://doi.org/10.1007/978-3-642-15948-0_12

Print & Electronic Holdings

Database
Springer
Link