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Published in: Neuroradiology 2/2012

01-02-2012 | Interventional Neuroradiology

Rigid 3D–3D registration of TOF MRA integrating vessel segmentation for quantification of recurrence volumes after coiling cerebral aneurysm

Authors: Dennis Säring, Jens Fiehler, Thorsten Ries, Nils Daniel Forkert

Published in: Neuroradiology | Issue 2/2012

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Abstract

Introduction

A fast and reproducible quantification of the recurrence volume of coiled aneurysms is required to enable a more timely evaluation of new coils. This paper presents two registration schemes for the semi-automatic quantification of aneurysm recurrence volumes based on baseline and follow-up 3D MRA TOF datasets.

Methods

The quantification of shape changes requires a previous definition of corresponding structures in both datasets. For this, two different rigid registration methods have been developed and evaluated. Besides a state-of-the-art rigid registration method, a second approach integrating vessel segmentations is presented. After registration, the aneurysm recurrence volume can be calculated based on the difference image. The computed volumes were compared to manually extracted volumes.

Results

An evaluation based on 20 TOF MRA datasets (baseline and follow-up) of ten patients showed that both registration schemes are generally capable of providing sufficient registration results. Regarding the quantification of aneurysm recurrence volumes, the results suggest that the second segmentation-based registration method yields better results, while a reduction of the computation and interaction time is achieved at the same time.

Conclusion

The proposed registration scheme incorporating vessel segmentation enables an improved quantification of recurrence volumes of coiled aneurysms with reduced computation and interaction time.
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Metadata
Title
Rigid 3D–3D registration of TOF MRA integrating vessel segmentation for quantification of recurrence volumes after coiling cerebral aneurysm
Authors
Dennis Säring
Jens Fiehler
Thorsten Ries
Nils Daniel Forkert
Publication date
01-02-2012
Publisher
Springer-Verlag
Published in
Neuroradiology / Issue 2/2012
Print ISSN: 0028-3940
Electronic ISSN: 1432-1920
DOI
https://doi.org/10.1007/s00234-011-0836-4

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