A technique for respiratory motion correction in image guided cardiac catheterisation procedures

King, Andrew P.; Boubertakh, Redha; Ng, KH; Ma, YingLiang; Chinchapatnam, Phani; Gao, Gang; Schaeffter, Tobias; Hawkes, David J.; Razavi, Reza; Rhode, Kawal

doi:10.1117/12.769377

Cited by 8 publications

(21 citation statements)

References 10 publications

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“…This section discusses sources of measurements of the true respiratory motion that are used, typically together with the surrogate data, to determine the correspondence model. Section 5.2 Wang et al, 1995;Blackall et al, 2001;King et al, 2001;Manke et al, 2002b;McLeish et al, 2002;Blackall et al, 2005;Blackall et al, 2006;Reyes et al, 2007 Respiratory gated images Manke et al, 2002a;Ablitt et al, 2004;Wu et al, 2006;Buerger et al, 2012;Preiswerk et al, 2012 Dynamic images Manke et al, 2003;Khamene et al, 2004;Koch et al, 2004;Liu et al, 2004;Sundaram et al, 2004;Jahnke et al, 2005;Nehrke and Bornert, 2005;Plathow et al, 2005;Blackall et al, 2006;Fischer et al, 2006;Jahnke et al, 2007;Sharif and Bresler, 2007;Gao et al, 2008;King et al, 2008a;King et al, 2008b;King et al, 2009a;King et al, 2009b;White et al, 2009;King et al, 2010b;King et al, 2010c;Rijkhorst et al, 2010;King et al, 2011;McGlashan and King, 2011;Rijkhorst et al, 2011;Savill et al, 2011;King et al, 2012;Peressutti et al, 2012…”

Section: Acquiring Motion Datamentioning

confidence: 98%

“…intra-cycle variation , inter-cycle variation , breath-hold vs free-breathing , deep breathing vs normal breathing vs shallow breathing (King et al, 2008a, and inter-fraction variation .…”

Section: Representation Of Motion Examplesmentioning

confidence: 99%

“…Scalar MR navigator Diaphragm: Nehrke et al, 2001;Manke et al, 2002b;Manke et al, 2002a;Manke et al, 2003;Jahnke et al, 2005;Nehrke and Bornert, 2005;Fischer et al, 2006;Jahnke et al, 2007;King et al, 2008a;King et al, 2008b;King et al, 2009a;King et al, 2009b;King et al, 2010b;King et al, 2010c;King et al, 2010a;King et al, 2011 Anterior chest wall: Manke et al, 2003;Jahnke et al, 2005;Nehrke and Bornert, 2005;Jahnke et al, 2007 Lateral heart wall: Manke et al, 2003;Nehrke and Bornert, 2005;Jahnke et al, 2007Bellows Odille et al, 2008bOdille et al, 2008a;Rijkhorst et al, 2010;Filipovic et al, 2011Spirometer Hoisak et al, 2004Low et al, 2005;Lu et al, 2005;Ehrhardt et al, 2007;Yang et al, 2008;Zhao et al, 2009;Low et al, 2010Chest/abdomen displacement Optical: Schweikard et al, 2000Atkinson et al, 2001;Vedam et al, 2003;Schweikard et al, 2004a;Schweikard et al, 2004b;Lu et al, 2005;McClelland et al, 2005;…”

Section: Surrogate Type Details Examplesunclassified

“…Coordinate list Points of interest Schweikard et al, 2000;Ahn et al, 2004;Hoisak et al, 2004;Khamene et al, 2004;Koch et al, 2004;Liu et al, 2004;Schweikard et al, 2004a;Schweikard et al, 2004b;Shechter et al, 2004;Isaksson et al, 2005;Low et al, 2005;Schweikard et al, 2005;Shechter et al, 2005;Chi et al, 2006;Meyer et al, 2006;Shechter et al, 2006;Beddar et al, 2007;Ionascu et al, 2007;Seppenwoolde et al, 2007;Cho et al, 2008;Ruan et al, 2008;Cervino et al, 2009;Hoogeman et al, 2009;Zhao et al, 2009;Cervino et al, 2010;Cho et al, 2010;Low et al, 2010;Schneider et al, 2010;Torshabi et al, 2010;Cho et al, 2011;Ernst et al, 2011 Describing a surface Atkinson et al, 2001;King et al, 2001;Blackall et al, 2006;Klinder et al, 2009;He et al, 2010;Klinder et al, 2010 Rigid/affine transform Parameters Buliev et al, 2003;King et al, 2008b;King et al, 2008a;King et al, 2009a;…”

Section: Representation Of Motion Examplesunclassified

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Respiratory motion models: A review

McClelland

Hawkes

Schaeffter

et al. 2013

Medical Image Analysis

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The problem of respiratory motion has proved a serious obstacle in developing techniques to acquire images or guide interventions in abdominal and thoracic organs. Motion models offer a possible solution to these problems, and as a result the field of respiratory motion modelling has become an active one over the past 15 years. A motion model can be defined as a process that takes some surrogate data as input and produces a motion estimate as output. Many techniques have been proposed in the literature, differing in the data used to form the models, the type of model employed, how this model is computed, the type of surrogate data used as input to the model in order to make motion estimates and what form this output should take. In addition, a wide range of different application areas have been proposed. In this paper we summarise the state of the art in this important field and in the process highlight the key papers that have driven its advance. The intention is that this will serve as a timely review and comparison of the different techniques proposed to date and as a basis to inform future research in this area.

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Section: Acquiring Motion Datamentioning

confidence: 98%

“…intra-cycle variation , inter-cycle variation , breath-hold vs free-breathing , deep breathing vs normal breathing vs shallow breathing (King et al, 2008a, and inter-fraction variation .…”

Section: Representation Of Motion Examplesmentioning

confidence: 99%

Section: Surrogate Type Details Examplesunclassified

Section: Representation Of Motion Examplesunclassified

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Respiratory motion models: A review

McClelland

Hawkes

Schaeffter

et al. 2013

Medical Image Analysis

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348

343

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show abstract

“…Figure 3 illustrates the roles of each of the MRI images in forming the respiratory model. The algorithm can be summarised as follows (King et al, 2008):…”

Section: High Resolution Volumementioning

confidence: 99%