Paper Info
Title
Automated planning of scan geometries in spine MRI scans.
Abstract
Consistency of MR scan planning is very important for diagnosis, especially in multi-site trials and follow-up studies, where disease progress or response to treatment is evaluated. Accurate manual scan planning is tedious and requires skillful operators. On the other hand, automated scan planning is difficult due to relatively low quality of survey images ("scouts") and strict processing time constraints. This paper presents a novel method for automated planning of MRI scans of the spine. Lumbar and cervical examinations are considered, although the proposed method is extendible to other types of spine examinations, such as thoracic or total spine imaging. The automated scan planning (ASP) system consists of an anatomy recognition part, which is able to automatically detect and label the spine anatomy in the scout scan, and a planning part, which performs scan geometry planning based on recognized anatomical landmarks. A validation study demonstrates the robustness of the proposed method and its feasibility for clinical use.
Year
DOI
Venue
2007
10.1007/978-3-540-75757-3_73
MICCAI
Keywords
Field
DocType
planning part,automated planning,novel method,spine examination,spine anatomy,cervical examination,total spine imaging,anatomy recognition part,spine mri,anatomical landmark
Computer vision,Spine examination,Computer science,Scout Scan,Robustness (computer science),Lumbar,Artificial intelligence
Conference
Volume
Issue
ISSN
10
Pt 1
0302-9743
ISBN
Citations 
PageRank 
3-540-75756-2
12
1.42
References 
Authors
6
10
Name
Order
Citations
PageRank
Vladimir Pekar126124.85
Daniel Bystrov2628.62
Harald S. Heese3224.77
Sebastian P M Dries4879.38
Stefan Schmidt515410.01
Rüdiger Grewer6121.75
Chiel J den Harder7121.42
René C Bergmans8121.42
Arjan W Simonetti9121.42
Arianne M van Muiswinkel10182.50