Motion and deformation estimation from medical imagery by modeling sub-structure interaction and constraints

Handle URI:
http://hdl.handle.net/10754/564610
Title:
Motion and deformation estimation from medical imagery by modeling sub-structure interaction and constraints
Authors:
Sundaramoorthi, Ganesh ( 0000-0003-3471-6384 ) ; Hong, Byungwoo; Yezzi, Anthony J.
Abstract:
This paper presents a novel medical image registration algorithm that explicitly models the physical constraints imposed by objects or sub-structures of objects that have differing material composition and border each other, which is the case in most medical registration applications. Typical medical image registration algorithms ignore these constraints and therefore are not physically viable, and to incorporate these constraints would require prior segmentation of the image into regions of differing material composition, which is a difficult problem in itself. We present a mathematical model and algorithm for incorporating these physical constraints into registration / motion and deformation estimation that does not require a segmentation of different material regions. Our algorithm is a joint estimation of different material regions and the motion/deformation within these regions. Therefore, the segmentation of different material regions is automatically provided in addition to the image registration satisfying the physical constraints. The algorithm identifies differing material regions (sub-structures or objects) as regions where the deformation has different characteristics. We demonstrate the effectiveness of our method on the analysis of cardiac MRI which includes the detection of the left ventricle boundary and its deformation. The experimental results indicate the potential of the algorithm as an assistant tool for the quantitative analysis of cardiac functions in the diagnosis of heart disease.
KAUST Department:
Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Visual Computing Center (VCC)
Publisher:
Informa UK Limited
Journal:
Computational Modelling of Objects Represented in Images III
Conference/Event name:
3rd International Symposium on Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications, CompIMAGE 2012
Issue Date:
13-Sep-2012
DOI:
10.1201/b12753-40
Type:
Conference Paper
ISBN:
9780415621342
Appears in Collections:
Conference Papers; Electrical Engineering Program; Visual Computing Center (VCC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorSundaramoorthi, Ganeshen
dc.contributor.authorHong, Byungwooen
dc.contributor.authorYezzi, Anthony J.en
dc.date.accessioned2015-08-04T07:05:04Zen
dc.date.available2015-08-04T07:05:04Zen
dc.date.issued2012-09-13en
dc.identifier.isbn9780415621342en
dc.identifier.doi10.1201/b12753-40en
dc.identifier.urihttp://hdl.handle.net/10754/564610en
dc.description.abstractThis paper presents a novel medical image registration algorithm that explicitly models the physical constraints imposed by objects or sub-structures of objects that have differing material composition and border each other, which is the case in most medical registration applications. Typical medical image registration algorithms ignore these constraints and therefore are not physically viable, and to incorporate these constraints would require prior segmentation of the image into regions of differing material composition, which is a difficult problem in itself. We present a mathematical model and algorithm for incorporating these physical constraints into registration / motion and deformation estimation that does not require a segmentation of different material regions. Our algorithm is a joint estimation of different material regions and the motion/deformation within these regions. Therefore, the segmentation of different material regions is automatically provided in addition to the image registration satisfying the physical constraints. The algorithm identifies differing material regions (sub-structures or objects) as regions where the deformation has different characteristics. We demonstrate the effectiveness of our method on the analysis of cardiac MRI which includes the detection of the left ventricle boundary and its deformation. The experimental results indicate the potential of the algorithm as an assistant tool for the quantitative analysis of cardiac functions in the diagnosis of heart disease.en
dc.publisherInforma UK Limiteden
dc.titleMotion and deformation estimation from medical imagery by modeling sub-structure interaction and constraintsen
dc.typeConference Paperen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentVisual Computing Center (VCC)en
dc.identifier.journalComputational Modelling of Objects Represented in Images IIIen
dc.conference.date5 September 2012 through 7 September 2012en
dc.conference.name3rd International Symposium on Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications, CompIMAGE 2012en
dc.conference.locationRomeen
dc.contributor.institutionComputer Science Department, Chung-Ang University, Seoul, South Koreaen
dc.contributor.institutionSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, United Statesen
kaust.authorSundaramoorthi, Ganeshen
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