A Bayesian Approach to inferring vascular tree structure from 2D imagery(4)

4.CONCLUSIONS

Someencouragingpreliminaryresultshavebeenachievedusingtheapproachdescribedinsection2,demonstratingitspotentialformodellingvascularstructuregloballyinacomputationallyef cientway.Fine-tuningthealgorithmwillleadtosigni cantimprovements.Thesewillinclude,forexample,theuseofthelocalestimatestoproduceinitialcon gurationsfortheMCMCalgorithm.Suchimprove-mentsarecurrentlybeingimplemented.Theworkisalsobeingtestedonothertypesofdataandextendedtothreedimensions.

5.REFERENCES

[1]P.DatlingerA.Pinz,S.BernoggerandA.Kruger.Map-pingthehumanretina.IEEETrans.MedicalImaging,17(1):606–619,1998.[2]S.P.Brooks.TheMarkovChainMonteCarloMethod

anditsApplication.TheStatistician,47:69–100,1998.[3]W.R.Gilks,S.Richardson,andD.J.Spiegelhalter.

MarkovChainMonteCarloinPractice.Chapman&Hall,1996.[4]M.E.Martinez-Perez,A.D.Hughes,A.V.Stanton,

A.S.Thom,A.A.Bharath,andK.H.Parker.Seg-mentationofretinalbloodvesselsbasedontheseconddirectionalderivativeandregiongrowing.InProc.ofIEEEICIP-99,pages173–176,Kobe,Japan,1999.[5]W.M.Wells,R.Kikinis,W.E.L.Grimson,and

R.Jolesz.AdaptivesegmentationofMRIdata.IEEETrans.MedicalImaging,15:429–442,1996.[6]D.L.WilsonandJ.A.Noble.Anadaptivesegmen-tationalgorithmforextractingarteriesandaneurysmsfromtime-of- ightMRAdata.IEEETrans.MedicalImaging,18(10):938–945,1999.

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