JOURNAL ARTICLE

Mouse whole-body organ mapping by non-rigid registration approach

Di XiaoHassan HashemiPierrick BourgeatPaula BerghoferOscar AcostaHeather GreenMarie Claude GrégoireOlivier Salvado

Year: 2011 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 7965 Pages: 79650E-79650E   Publisher: SPIE

Abstract

Automatic small animal whole-body organ registration is challenging because of subject's joint structure, posture and position difference and loss of reference features. In this paper, an improved 3D shape context based non-rigid registration method is applied for mouse whole-body skeleton registration and lung registration. A geodesic path based non-rigid registration method is proposed for mouse torso skin registration. Based on the above registration methods, a novel non-rigid registration framework is proposed for mouse whole-body organ mapping from an atlas to new scanned CT data. A preliminary experiment was performed to test the method on lung and skin registration. A whole-body organ mapping was performed on three target data and the selected organs were compared with the manual outlining results. The robust of the method has been demonstrated.

Keywords:
Computer science Computer vision Torso Image registration Artificial intelligence Rigid body Context (archaeology) Whole body imaging Geodesic Rigid transformation Anatomy Medicine Mathematics Nuclear medicine Positron emission tomography Biology Geometry

Metrics

8
Cited By
0.26
FWCI (Field Weighted Citation Impact)
1
Refs
0.55
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Medical Image Segmentation Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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