Construction of Average STN Atlas using Image Registration and Reconstruction

Kanglin Chen; Stefan Heldmann; Jan Rühaak; Marc Hallmann

Construction of Average STN Atlas using Image Registration and Reconstruction

Kanglin Chen, Stefan Heldmann, Jan Rühaak, Marc Hallmann

Institute of Mathematics and Image Computing

Abstract

We present a new mathematical model to construct meanlike and median-like average STN (subthalamic nucleus) atlases based on image registration and reconstruction. The average STN atlases (ASAs) have average intensities and shapes of the STN regions. In particular, the construction of the ASAs does not depend on selecting a particular image as the template and is optimal to the datasets with respect to minimizing a cost functional. For the application in deep brain stimulation, the ASAs can be used to accurately localize the target points of the STNs. For the validation of the outperformace of the ASAs, we compare them with anatomical atlases by executing the atlas to patient data registrations using clinical datasets.

Original language	English
Number of pages	9
Publication status	Published - 01.09.2014
Event	MICCAI 2014 Workshop on Deep Brain Stimulation Methodological Challenges - Boston, United States Duration: 14.09.2014 → 18.09.2014 http://miccai2014.org/workshop_program.html

Conference

Conference	MICCAI 2014 Workshop on Deep Brain Stimulation Methodological Challenges
Country/Territory	United States
City	Boston
Period	14.09.14 → 18.09.14
Internet address	http://miccai2014.org/workshop_program.html

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title = "Construction of Average STN Atlas using Image Registration and Reconstruction",

abstract = "We present a new mathematical model to construct meanlike and median-like average STN (subthalamic nucleus) atlases based on image registration and reconstruction. The average STN atlases (ASAs) have average intensities and shapes of the STN regions. In particular, the construction of the ASAs does not depend on selecting a particular image as the template and is optimal to the datasets with respect to minimizing a cost functional. For the application in deep brain stimulation, the ASAs can be used to accurately localize the target points of the STNs. For the validation of the outperformace of the ASAs, we compare them with anatomical atlases by executing the atlas to patient data registrations using clinical datasets.",

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AU - Chen, Kanglin

AU - Heldmann, Stefan

AU - Rühaak, Jan

AU - Hallmann, Marc

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N2 - We present a new mathematical model to construct meanlike and median-like average STN (subthalamic nucleus) atlases based on image registration and reconstruction. The average STN atlases (ASAs) have average intensities and shapes of the STN regions. In particular, the construction of the ASAs does not depend on selecting a particular image as the template and is optimal to the datasets with respect to minimizing a cost functional. For the application in deep brain stimulation, the ASAs can be used to accurately localize the target points of the STNs. For the validation of the outperformace of the ASAs, we compare them with anatomical atlases by executing the atlas to patient data registrations using clinical datasets.

AB - We present a new mathematical model to construct meanlike and median-like average STN (subthalamic nucleus) atlases based on image registration and reconstruction. The average STN atlases (ASAs) have average intensities and shapes of the STN regions. In particular, the construction of the ASAs does not depend on selecting a particular image as the template and is optimal to the datasets with respect to minimizing a cost functional. For the application in deep brain stimulation, the ASAs can be used to accurately localize the target points of the STNs. For the validation of the outperformace of the ASAs, we compare them with anatomical atlases by executing the atlas to patient data registrations using clinical datasets.

M3 - Conference Papers

T2 - MICCAI 2014 Workshop on Deep Brain Stimulation Methodological Challenges

Y2 - 14 September 2014 through 18 September 2014

ER -

Construction of Average STN Atlas using Image Registration and Reconstruction

Abstract

Conference

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