A novel Bayesian respiratory motion model to estimate and resolve uncertainty in image-guided cardiac interventions

D. Peressutti; G.P. Penney; R.J. Housden; C. Kolbitsch; A. Gomez; E.J. Rijkhorst; D.C. Barratt; K.S. Rhode; A.P. King

doi:10.1016/j.media.2013.01.007

A novel Bayesian respiratory motion model to estimate and resolve uncertainty in image-guided cardiac interventions

D. Peressutti, G.P. Penney, R.J. Housden, C. Kolbitsch, A. Gomez, E.J. Rijkhorst, D.C. Barratt, K.S. Rhode, A.P. King

Research output: Contribution to journal › Article › Academic › peer-review

Original language	Undefined/Unknown
Pages (from-to)	488-502
Journal	Medical Image Analysis
Volume	17
Issue number	4
DOIs	https://doi.org/10.1016/j.media.2013.01.007
Publication status	Published - 2013

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10.1016/j.media.2013.01.007

Cite this

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title = "A novel Bayesian respiratory motion model to estimate and resolve uncertainty in image-guided cardiac interventions",

author = "D. Peressutti and G.P. Penney and R.J. Housden and C. Kolbitsch and A. Gomez and E.J. Rijkhorst and D.C. Barratt and K.S. Rhode and A.P. King",

year = "2013",

doi = "10.1016/j.media.2013.01.007",

language = "Undefined/Unknown",

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pages = "488--502",

journal = "Medical Image Analysis",

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AU - Peressutti, D.

AU - Penney, G.P.

AU - Housden, R.J.

AU - Kolbitsch, C.

AU - Gomez, A.

AU - Rijkhorst, E.J.

AU - Barratt, D.C.

AU - Rhode, K.S.

AU - King, A.P.

PY - 2013

Y1 - 2013

U2 - 10.1016/j.media.2013.01.007

DO - 10.1016/j.media.2013.01.007

M3 - Article

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VL - 17

SP - 488

EP - 502

JO - Medical Image Analysis

JF - Medical Image Analysis

SN - 1361-8415

IS - 4

ER -