Publications of year 2005

Books and proceedings

1. B. Lovell, T. Maeder, T. Caelli, and S. Ourselin, editors. Eight Australasian Conference on Digital Image Computing Techniques and Applications (DICTA'05), 2005. IEEE Publishing .
   

   @Proceedings{DICTA:05,
   
    title = {Eight Australasian Conference on Digital Image Computing Techniques and Applications
    (DICTA'05)},
   
    year = {2005},
   
    editor = {Lovell, B. and Maeder, T. and Caelli, T. and Ourselin, S.},
   
    publisher = {IEEE Publishing}
    
   }
   

Articles in journal or book chapters

1. J. Suri, V. Pappu, O. Salvado, B. Fei, S. Laxminarayan , S. Zhang, J. Lewin, J. Duerk, and D Wilson. Accurate Lumen Identification, Detection, and Quantification in MR Plaque Volumes, volume Segmentation Models Part B of Topics in Biomedical Engineering. International Book Series, pages 451-530. Springer US, 2005.
   

   @INBOOK{suri_accurate_2005,
   
    pages = {451-530},
   
    title = {Accurate Lumen Identification, Detection, and Quantification in MR
    Plaque Volumes},
   
    publisher = {Springer US},
   
    year = {2005},
   
    author = {J. Suri and V. Pappu and O. Salvado and B. Fei and S. Laxminarayan
    and S. Zhang and J. Lewin and J. Duerk and D Wilson},
   
    volume = {Segmentation Models Part B},
   
    series = {Topics in Biomedical Engineering. International Book Series},
   
    isbn = {978-0-306-48605-0},
   
    journal = {Handbook of Biomedical Image Analysis},
   
    url = {http://dx.doi.org/10.1007/0-306-48606-7\_9}
    
   }
   



2. E.B. Braiek, M. Cheriet, and V. Doré. SKCS-A Separable Kernel Family with Compact Support to improve visual segmentation of handwritten data. Electronic Letters on Computer Vision and Image Analysis, 5(1):14--29, 2005.
   

   @article{braiek2005skcs,
   
    title={{SKCS-A Separable Kernel Family with Compact Support to improve visual segmentation of handwritten data}},
   
    author={Braiek, E.B. and Cheriet, M. and Dor{\'e}, V.},
   
    journal={Electronic Letters on Computer Vision and Image Analysis},
   
    volume={5},
   
    number={1},
   
    pages={14--29},
   
    year={2005},
   
    publisher={Citeseer}
    
   }
   



3. J. Dowling. Artificial human vision. Expert Review of Medical Devices, 2(1) :73-85, 2005.
   

   @ARTICLE{Dowling2005,
   
    author = {Dowling, J.},
   
    title = {Artificial human vision},
   
    journal = {Expert Review of Medical Devices},
   
    year = {2005},
   
    pages = {73-85},
   
    volume = {2(1)}
    
   }
   



4. H. Frimmel, J. N�pi, and H. Yoshida. Centerline-based colon segmentation for CT colonography. Medical Physics, 32:2665-2672, 2005.
   

   @ARTICLE{frimmel0010,
   
    AUTHOR = {H.~Frimmel and J.~N�pi and H.~Yoshida},
   
    TITLE = {Centerline-based colon segmentation for CT colonography},
   
    JOURNAL = {Medical Physics},
   
    YEAR = {2005},
   
    VOLUME = {32},
   
    PAGES = {2665-2672},
   
    
   }
   



5. K Miller, Z Taylor, and W L Nowinski. Towards computing brain deformations for diagnosis, prognosis and neurosurgical simulation. Journal of Mechanics in Medicine and Biology, 5(1):105-121, 2005.
   

   @article{Miller:jmmb:05,
   
    Author = {Miller, K and Taylor, Z and Nowinski, W L},
   
    Title = {Towards computing brain deformations for diagnosis, prognosis and neurosurgical simulation},
   
    Journal = {Journal of Mechanics in Medicine and Biology},
   
    Volume = {5},
   
    Number = {1},
   
    Pages = {105-121},
   
    Year = {2005} 
   }
   



6. J. N�pi, H. Frimmel, and H. Yoshida. Virtual endoscopic visualization of the colon by shape-scale signatures. IEEE Transactions on Information Technology in Biomedicine, 9(1):120-131, 2005.
   

   @ARTICLE{frimmel0007,
   
    AUTHOR = {J.~N�pi and H.~Frimmel and H.~Yoshida},
   
    TITLE = {Virtual endoscopic visualization of the colon by shape-scale signatures},
   
    JOURNAL = {IEEE Transactions on Information Technology in Biomedicine},
   
    YEAR = {2005},
   
    VOLUME = {9},
   
    NUMBER = {1},
   
    PAGES = {120-131},
   
    
   }
   



7. J. N�pi, A. Okamura, H. Frimmel, AH. Dachman, and H. Yoshida. Region-based supine-prone correspondence for the reduction of false-positive CAD polyp candidates in CT colonography. Academic Radiology, 12(6):695-707, 2005.
   

   @ARTICLE{frimmel0009,
   
    AUTHOR = {J.~N�pi and A.~Okamura and H.~Frimmel and AH.~Dachman and H.~Yoshida},
   
    TITLE = {Region-based supine-prone correspondence for the reduction of false-positive CAD polyp candidates in CT colonography},
   
    JOURNAL = {Academic Radiology},
   
    YEAR = {2005},
   
    VOLUME = {12},
   
    NUMBER = {6},
   
    PAGES = {695-707},
   
    
   }
   



8. Z Taylor and K Miller. Using numerical approximation as an intermediate step in analytical derivations: some observations from biomechanics. Journal of Biomechanics, 38(12):2497-2502, 2005.
   Note: TY - JOUR.
   

   @article{Taylor:jb:05,
   
    Author = {Taylor, Z and Miller, K},
   
    Title = {Using numerical approximation as an intermediate step in analytical derivations: some observations from biomechanics},
   
    Journal = {Journal of Biomechanics},
   
    Volume = {38},
   
    Number = {12},
   
    Pages = {2497-2502},
   
    Note = {TY - JOUR},
   
    Year = {2005} 
   }
   



9. D. Xiao, W.S. Ng, U.R. Abeyratne, and C.B.S. Tsang. Multigradient field active contour model for multilayer boundary detection of ultrasound rectal wall image. Journal of Electronic Imaging, 14(3):1-14, July 2005.
   

   @ARTICLE{DiXiao008,
   
    author = {D. Xiao and W.S. Ng and U.R. Abeyratne and C.B.S. Tsang},
   
    title = {Multigradient field active contour model for multilayer boundary
    detection of ultrasound rectal wall image},
   
    journal = {Journal of Electronic Imaging},
   
    year = {2005},
   
    volume = {14},
   
    pages = {1-14},
   
    number = {3},
   
    month = {July}
    
   }
   



10. Shaoxiong Zhang, Jasjit S Suri, Olivier Salvado, Yiping Chen, Frank K Wacker, David L Wilson, and Jeffrey L Duerk and Jonathan S Lewin. Inter- and Intra-Observer Variability Assessment of in Vivo Carotid Plaque Burden Quantification Using Multi-Contrast Dark Blood MR Images. Studies in health technology and informatics, 113:384-93, 2005.
    Note: PMID: 15923749.

    Abstract:

    The chapter presents the research to test the hypotheses that (1) vessel wall volume measurements from dark blood MR images with multiple contrast-weightings (T1W, T2W and PDW) are highly reproducible, and that (2) the intra-observer and inter-observer variability of carotid wall volume measurements will be less than those obtained with maximum wall area (MaxWA) measurements. METHODS: Sixteen patients (aged 72 +/- 7years) with carotid stenosis documented by duplex ultrasound were recruited for the study. Dark blood T1W, PDW and T2W MR images were used to measure carotid wall volume and MaxWA by two independent observers for inter-observer and intra-observer variability assessment. RESULTS: The intra-observer absolute difference of carotid wall volume for T1W, T2W and PDW images were 67.3 +/- 47.5 mm(3) (2.3 +/- 1.8\%), 63.2 +/- 52.2 mm(3) (2.0 +/- 1.3\%), and 69.8 +/- 45.2 mm(3) (2.4 +/- 1.7\%) respectively. The inter-observer absolute difference of carotid wall volume for T1W, T2W and PDW images were 103.5 +/- 141.8 mm(3) (3.0 +/- 3.1\%), 95.9 +/- 102.1 mm(3) (3.1 +/- 2.6\%), and 132.1 +/- 87.8 mm(3) (4.3 +/- 2.7\%) respectively. The intra-observer absolute difference of carotid MaxWA for T1W, T2W and PDW images were 6.9 +/- 5.0 mm(2) (4.2 +/- 2.9\%), 5.1 +/- 4.2 mm(2) (3.1 +/- 2.3\%) and 7.5 +/- 4.7 mm(2) (4.2 +/- 2.7\%) respectively. The inter-observer absolute difference of carotid MaxWA for T1W, T2W and PDW images were 9.5 +/- 4.2 mm(2) (5.8 +/- 2.3\%), 6.4 +/- 6.1 mm(2) (3.8 +/- 3.1\%) and 10.8 +/- 7.3 mm(2) (6.1 +/- 3.7\%) respectively. Both intra- and inter-observer variability in carotid volume measurement tend to be smaller than that in carotid MaxWA measurement with intraclass correlation coefficients ranged 0.932 to 0.987 for volume measurement and 0.822 to 0.946 for MaxWA measurement.

    
    

    @ARTICLE{zhang_inter-_2005,
    
     author = {Shaoxiong Zhang and Jasjit S Suri and Olivier Salvado and Yiping
     Chen and Frank K Wacker and David L Wilson and Jeffrey L Duerk and
     Jonathan S Lewin},
    
     title = {Inter- and Intra-Observer Variability Assessment of in Vivo Carotid
     Plaque Burden Quantification Using Multi-Contrast Dark Blood MR Images},
    
     journal = {Studies in health technology and informatics},
    
     year = {2005},
    
     volume = {113},
    
     pages = {384-93},
    
     note = {PMID: 15923749},
    
     abstract = {The chapter presents the research to test the hypotheses that (1)
     vessel wall volume measurements from dark blood MR images with multiple
     contrast-weightings (T1W, T2W and PDW) are highly reproducible, and
     that (2) the intra-observer and inter-observer variability of carotid
     wall volume measurements will be less than those obtained with maximum
     wall area (MaxWA) measurements. METHODS: Sixteen patients (aged 72
     +/- 7years) with carotid stenosis documented by duplex ultrasound
     were recruited for the study. Dark blood T1W, PDW and T2W MR images
     were used to measure carotid wall volume and MaxWA by two independent
     observers for inter-observer and intra-observer variability assessment.
     RESULTS: The intra-observer absolute difference of carotid wall volume
     for T1W, T2W and PDW images were 67.3 +/- 47.5 mm(3) (2.3 +/- 1.8\%),
     63.2 +/- 52.2 mm(3) (2.0 +/- 1.3\%), and 69.8 +/- 45.2 mm(3) (2.4
     +/- 1.7\%) respectively. The inter-observer absolute difference of
     carotid wall volume for T1W, T2W and PDW images were 103.5 +/- 141.8
     mm(3) (3.0 +/- 3.1\%), 95.9 +/- 102.1 mm(3) (3.1 +/- 2.6\%), and
     132.1 +/- 87.8 mm(3) (4.3 +/- 2.7\%) respectively. The intra-observer
     absolute difference of carotid MaxWA for T1W, T2W and PDW images
     were 6.9 +/- 5.0 mm(2) (4.2 +/- 2.9\%), 5.1 +/- 4.2 mm(2) (3.1 +/-
     2.3\%) and 7.5 +/- 4.7 mm(2) (4.2 +/- 2.7\%) respectively. The inter-observer
     absolute difference of carotid MaxWA for T1W, T2W and PDW images
     were 9.5 +/- 4.2 mm(2) (5.8 +/- 2.3\%), 6.4 +/- 6.1 mm(2) (3.8 +/-
     3.1\%) and 10.8 +/- 7.3 mm(2) (6.1 +/- 3.7\%) respectively. Both
     intra- and inter-observer variability in carotid volume measurement
     tend to be smaller than that in carotid MaxWA measurement with intraclass
     correlation coefficients ranged 0.932 to 0.987 for volume measurement
     and 0.822 to 0.946 for MaxWA measurement.},
    
     issn = {09269630}
     
    }
    



11. H. de Visser, C.J. Adam, C.M. Engstrom, S. Crozier, and M.J. Pearcy. Biomechanics of the lumbar spine analysed using a combination of a finite element model and a mathematical muscle model. Journal of Bone and Joint Surgery - British Edition, 87-B(Supp III):401, 2005.
    

    @Article{deVisser:jbjsb:05,
    author = {de Visser, H. and Adam, C.J. and Engstrom, C.M., and Crozier, S. and Pearcy, M.J.},
    title = {Biomechanics of the lumbar spine analysed using a combination of a finite element model and a mathematical muscle model},
    journal = {Journal of Bone and Joint Surgery - British Edition},
    volume = {87-B},
    number = {Supp III},
    year = {2005},
    pages = {401} 
    }
    

Conference articles

1. Oscar Acosta, Cemil Göksu, Antoine Lucas, Carine Kulik, Rolland Yan, and Pascal Haigron. Description of Anatomical Structures Based on Virtual Exploratory Navigation. In Trocaz and Merloz, editors, SURGETICA 2005. Gestes médico-chirurgicaux assistés par ordinateur., Chambery, France, 2005 .
   

   @InProceedings{Acosta:Surgetica:05,
   
    Author = {Acosta, Oscar and G\"oksu, Cemil and Lucas, Antoine
    and Kulik, Carine and {Rolland Yan} and Haigron, Pascal},
   
    Title = {Description of {A}natomical {S}tructures {B}ased on
    {V}irtual {E}xploratory {N}avigation},
   
    BookTitle = {S{URGETICA} 2005. {G}estes m\'edico-chirurgicaux
    assist\'es par ordinateur.},
   
    Editor = {{Trocaz and Merloz}},
   
    Address = {Chambery, France},
   
    optannote = {},
   
    optcrossref = {},
   
    opteditor = {},
   
    optkey = {},
   
    optnote = {},
   
    optnumber = {},
   
    optorganization = {},
   
    optpublisher = {},
   
    optseries = {},
   
    optvolume = {},
   
    pdf = {http://www.unitheque.com/medecine/Surgetica_2005-4944.html?&rubrique=ABAIW},
   
    url = {http://www.livres-medicaux.com/livres/?id=00000986},
   
    year = 2005
    
   }
   



2. P. Bourgeat, J. Fripp, A. Janke, G. Galloway, S. Crozier, and S. Ourselin. The use of unwrapped phase in MR image segmentation: A preliminary study. In 8th International Conference on Medical Image Computing And Computer-Assisted Intervention (MICCAI'05), volume 3750 of LNCS, Palm Springs, California, pages 813-820, October 26-29 2005 . Springer Verlag.
   

   @InProceedings{Bourgeat:miccai:05,
   
    Author = {Bourgeat, P. and Fripp, J. and Janke, A. and Galloway, G. and Crozier, S. and Ourselin, S.},
   
    Title = {The use of unwrapped phase in {MR} image segmentation: A preliminary study},
   
    BookTitle = {8th International Conference on Medical Image Computing And Computer-Assisted Intervention (MICCAI'05)},
   
    Volume = {3750},
   
    Series = {LNCS},
   
    Pages = {813-820},
   
    Address = {Palm Springs, California},
   
    Publisher = {Springer Verlag},
   
    month = {October 26-29},
   
    year = 2005
    
   }
   



3. P. Bourgeat and F. Meriaudeau. Classifier vote and Gabor filter banks for wafer segmentation. In International Conference on Image Processing 2005 (ICIP 2005), volume 1, Genova, Italy, pages 369-372, Sept 11-14 2005 . IEEE.
   

   @InProceedings{Bourgeat:icip:05,
   
    Author = {Bourgeat, P. and Meriaudeau, F.},
   
    Title = {Classifier vote and Gabor filter banks for wafer segmentation},
   
    BookTitle = {International Conference on Image Processing 2005 (ICIP 2005)},
   
    Volume = {1},
   
    Pages = {369-372},
   
    Address = {Genova, Italy},
   
    Publisher = {IEEE},
   
    month = {Sept 11-14},
   
    year = 2005
    
   }
   



4. H. Chen, W. Shao, D. Xiao, D. Shi, S.B. Wee, and W.S. Ng. Tumor margin segmentation and tracking in ultrasound images using registration approach. In Proc. 12th International Conference on BioMedical Engineering (ICBME), Singapore, December 2005.
   

   @INPROCEEDINGS{DiXiaoC004,
   
    author = {H. Chen and W. Shao and D. Xiao and D. Shi and S.B. Wee and W.S.
    Ng},
   
    title = {Tumor margin segmentation and tracking in ultrasound images using
    registration approach},
   
    booktitle = {Proc. 12th International Conference on BioMedical Engineering (ICBME)},
   
    year = {2005},
   
    address = {Singapore},
   
    month = {December}
    
   }
   



5. J. Dowling, W. Boles, and A. Maeder. Mobility assessment using simulated Artificial Human Vision. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005, volume 3, pages 32--32, 20-26 June 2005.
   

   @INPROCEEDINGS{Dowling2005b,
   
    author = {Dowling, J. and Boles, W. and Maeder, A.},
   
    title = {Mobility assessment using simulated Artificial Human Vision},
   
    booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision
    and Pattern Recognition, 2005},
   
    year = {2005},
   
    volume = {3},
   
    pages = {32--32},
   
    month = {20-26 June}
    
   }
   



6. J. Dowling, A. Maeder, and W. Boles. A PDA based Artificial Human Vision Simulator. In Proceedings of the APRS Workshop on Digital Image Computing, pages 109-114 , 2005.
   

   @INPROCEEDINGS{Dowling2005APRS,
   
    author = {Dowling, J. and Maeder, A. and Boles, W.},
   
    title = {A PDA based Artificial Human Vision Simulator},
   
    booktitle = {Proceedings of the APRS Workshop on Digital Image Computing},
   
    year = {2005},
   
    pages = {109-114}
    
   }
   



7. N. Dowson and R. Bowden. Simultaneous Modeling and Tracking (SMAT) of feature sets. In IEEE Computer Society International Conference on Computer Vision and Pattern Recognition, volume 2, San Diego, CA, USA, pages 99--105, June 2005.
   

   @InProceedings{dowson05simultaneous,
   
    author = {Dowson, N. and Bowden, R.},
   
    title = {Simultaneous Modeling and Tracking (SMAT) of feature sets},
   
    OPTcrossref = {},
   
    OPTkey = {},
   
    booktitle = {IEEE Computer Society International Conference on
    Computer Vision and Pattern Recognition},
   
    pages = {99--105},
   
    year = {2005},
   
    OPTeditor = {},
   
    volume = {2},
   
    OPTnumber = {},
   
    OPTseries = {},
   
    address = {San Diego, CA, USA},
   
    month = {June},
   
    OPTorganization = {},
   
    OPTpublisher = {},
   
    OPTnote = {},
   
    OPTannote = {}
    
   }
   



8. J. Fripp, P. Bourgeat, A.U.J Mewes, S.K. Warfield, S. Crozier, and S. Ourselin. 3D statistical shape models to embed spatial relationship information. In Computer Vision for Biomedical Image Applications: Current techniques and future trends, an ICCV workshop, volume 3765 of LNCS, Beijing, China, pages 51-60, October 2005 . Springer Verlag.
   

   @InProceedings{Fripp2005:CVBIA,
   
    Author = {Fripp, J. and Bourgeat, P. and Mewes, A.U.J and Warfield, S.K. and Crozier, S. and Ourselin, S.},
   
    Title = {3{D} statistical shape models to embed spatial relationship information},
   
    BookTitle = {Computer {V}ision for {B}iomedical {I}mage {A}pplications: {C}urrent techniques and future trends, an {ICCV} workshop},
   
    Volume = {3765},
   
    Series = {LNCS},
   
    Pages = {51-60},
   
    Address = {Beijing, China},
   
    Publisher = {Springer Verlag},
   
    Month = "October",
   
    optannote = {},
   
    opteditor = {Lin, Y and Jiang, T and Zhang, C},
   
    Year = 2005
    
   }
   



9. J. Fripp, S. Crozier, S.K. Warfield, and S. Ourselin. Automatic Initialization of 3D Deformable Models for Cartilage Segmentation.. In DICTA, pages 74, 2005.
   

   @inproceedings{Fripp2005:DICTA,
   
    Author = {J. Fripp and S. Crozier and S.K. Warfield and S. Ourselin},
   
    Title = {Automatic Initialization of 3D Deformable Models for Cartilage Segmentation.},
   
    Booktitle = {DICTA},
   
    Year = {2005},
   
    Pages = {74},
   
    url = {http://doi.ieeecomputersociety.org/10.1109/DICTA.2005.16}
    
   }
   



10. J. Fripp, S. Ourselin, S. Warfield, A. Mewes, and S. Crozier. Automatic Generation of 3D Statistical Shape Models of the Knee Bones. In APRS Workshop on Digital Image Computing, pages 15--21, February 2005.
    

    @inproceedings{Fripp2005:WDIC2005,
    
     Author = {J. Fripp and S. Ourselin and S. Warfield and A. Mewes and S. Crozier},
    
     Title = {Automatic Generation of 3D Statistical Shape Models of the Knee Bones},
    
     Booktitle = {APRS Workshop on Digital Image Computing},
    
     Year = {2005},
    
     OPTkey = {},
    
     OPTvolume = {},
    
     OPTnumber = {},
    
     Pages = {15--21},
    
     Month = {FEB},
    
     OPTnote = {},
    
     OPTannote = {}
     
    }
    



11. A. Harris, S. Ourselin, R. Moreno, M. Holden, L. Gomes, and T. Whitford. Cortical thickness estimation - a new method for determining cortical thickness. In The Royal Australian and New Zealand College of Psychiatrists: Joint CINP/ASPR Scientific Meeting: Brisbane Convention and Exhibition Centre, Brisbane, Australia, December 7-9 2005 .
    

    @Inproceedings{Harris:ASPR:05,
    
     author = {Harris, A. and Ourselin, S., and Moreno, R. and Holden, M. and Gomes, L. and Whitford, T.},
    
     title = {Cortical thickness estimation - a new method for determining cortical thickness},
    
     booktitle = {The Royal Australian and New Zealand College of Psychiatrists: Joint CINP/ASPR Scientific Meeting: Brisbane Convention and Exhibition Centre},
    
     month = {December 7-9},
    
     address = {Brisbane, Australia},
    
     year = {2005}
     
    }
    



12. R. Li, D. McLean, and S. Ourselin. Vector-field-based deformable models for radiation dosimetry. In APRS Workshop on Digital Image Computing, WDIC2005, Brisbane, Australia, March 2005.
    

    @Inproceedings{Li:WDIC:05,
    
     author = {Li, R. and McLean, D. and Ourselin, S.},
    
     title = {Vector-field-based deformable models for radiation dosimetry},
    
     booktitle = {APRS Workshop on Digital Image Computing, WDIC2005},
    
     year = 2005,
    
     address = {Brisbane, Australia},
    
     month = {March}
     
    }
    



13. S. Ourselin and R. Li. Extension of Deformable Models: Hybrid Approaches for Analysis of Medical Images. In Y.T. Zhang, L.X Xu, C. Roux, T.G. Zhuang, T. Tamura, and H. Galiana, editors, IEEE Engineering in Medicine and Biology 27th Annual Conference, Shanghai, China, September 1-4 2005.
    

    @Inproceedings{Ourselin:embc:05,
    
     author = {Ourselin, S. and Li, R.},
    
     title = {Extension of Deformable Models: Hybrid Approaches for Analysis of Medical Images},
    
     booktitle = {IEEE Engineering in Medicine and Biology 27th Annual Conference},
    
     year = 2005,
    
     editor = {Zhang, Y.T. and Xu, L.X, and Roux, C. and Zhuang, T.G. and Tamura,T. and Galiana, H.},
    
     address = {Shanghai, China},
    
     month = {September 1-4},
    
     NOTE: {CD-ROM proceedings},
    
     publisher = {IEEE}
     
    }
    



14. O. Salvado, C. Hillenbrand, and D.L. Wilson. Correction of intensity inhomogeneity in MR images of vascular disease. In EMBS'05, Shangai, pages 4302-4305, 2005. IEEE.

    Abstract:

    We are involved in a comprehensive program to characterize atherosclerotic disease using multiple MR images having different contrast mechanisms (T1W, T2W, PDW, magnetization transfer, etc.) of human carotid and animal model arteries. We use specially designed intravascular and surface array coils that give high signal-to-noise but suffer from sensitivity inhomogeneity and significant noise. We present here a new non-parametric method for correcting the images without assumption of the number of different tissues. Intensity inhomogeneity is modeled with cubic spline and is locally optimized using an entropy criterion. Validation has been performed on a specially design neck phantom as well as actual MR scans on patient neck. This same algorithm has been successfully applied to the correction of very high resolution, intravascular coil images. The steep bias is corrected sufficiently to aid human interpretation of gray scales. It should also make possible computerized tissue classification

    
    

    @INPROCEEDINGS{salvado_correction_2005,
    
     author = {O. Salvado and C. Hillenbrand and D.L. Wilson},
    
     title = {Correction of intensity inhomogeneity in MR images of vascular disease},
    
     booktitle = {EMBS'05},
    
     year = {2005},
    
     pages = {4302-4305},
    
     address = {Shangai},
    
     publisher = {IEEE},
    
     abstract = {We are involved in a comprehensive program to characterize atherosclerotic
     disease using multiple MR images having different contrast mechanisms
     (T1W, T2W, PDW, magnetization transfer, etc.) of human carotid and
     animal model arteries. We use specially designed intravascular and
     surface array coils that give high signal-to-noise but suffer from
     sensitivity inhomogeneity and significant noise. We present here
     a new non-parametric method for correcting the images without assumption
     of the number of different tissues. Intensity inhomogeneity is modeled
     with cubic spline and is locally optimized using an entropy criterion.
     Validation has been performed on a specially design neck phantom
     as well as actual MR scans on patient neck. This same algorithm has
     been successfully applied to the correction of very high resolution,
     intravascular coil images. The steep bias is corrected sufficiently
     to aid human interpretation of gray scales. It should also make possible
     computerized tissue classification},
    
     journal = {27th Annual International Conference of the IEEE Engineering in Medicine
     and Biology Society (EMBS)},
    
     keywords = {algorithm,Animal,animal model arteries,Arteries,atherosclerosis,atherosclerotic
     disease,classification,coils,computerized tissue classification,contrast,Correction,cubic
     spline,Disease,entropy,Human,IMAGES,Intensity inhomogeneities,intensity
     inhomogeneity,medicine,MODEL,MR,MR images,MRI,neck phantom,noise,nonparametric
     method,phased array coils,Scale,spline,surface array coils,TISSUE,TISSUES,vascular}
     
    }
    



15. Olivier Salvado, Claudia Hillenbrand, David L. Wilson, J.Michael Fitzpatrick, and Joseph M. Reinhardt. Partial volume correction using reverse diffusion. In SPIE'05, volume 5747 of Image Processing, San Diego, CA, USA, pages 625-633, April 2005. SPIE.

    Abstract:

    Many medical images suffer from the partial volume effect where a boundary between two structures of interest falls in the middle of a voxel giving a signal value that is a mixture of the two. We propose a method to restore the ideal boundary by splitting a voxel into sub-voxels and reapportioning the signal into the sub-voxels. We designed this method to correct MRI 2D slice images where partial volume can be a considerable limitation. Each voxel is divided into four (or more) sub-voxels by nearest neighbor interpolation. The gray level of each sub-voxel is considered as "materials" able to move between sub-voxels but not between voxels. A partial differential equation is written to allow the material to flow towards the highest gradient direction, creating a "reverse" diffusion process. Flow is subject to constraints that tend to create step edges. Material is conserved in the process thereby conserving MR signal. The method proceeds until the flow decreases to a low value. To test the method, synthetic images were down-sampled to simulate the partial volume artifact and restored. Corrected images were remarkably closer both visually and quantitatively to the original images than those obtained from common interpolation methods: on simulated data mean square errors were 0.35, 1.09, and 1.24 for the proposed method, bicubic, and bilinear interpolation respectively. The method was relatively insensitive to noise. On MRI physical phantom and brain images, restored images processed with the new method were visually much closer to high-resolution counter-parts than those obtained with common interpolation methods.

    
    

    @INPROCEEDINGS{salvado_partial_2005,
    
     author = {Olivier Salvado and Claudia Hillenbrand and David L. Wilson and J.Michael
     Fitzpatrick and Joseph M. Reinhardt},
    
     title = {Partial volume correction using reverse diffusion},
    
     booktitle = {SPIE'05},
    
     year = {2005},
    
     volume = {5747},
    
     series = {Image Processing},
    
     pages = {625-633},
    
     address = {San Diego, CA, USA},
    
     month = "April",
    
     publisher = {SPIE},
    
     abstract = {Many medical images suffer from the partial volume effect where a
     boundary between two structures of interest falls in the middle of
     a voxel giving a signal value that is a mixture of the two. We propose
     a method to restore the ideal boundary by splitting a voxel into
     sub-voxels and reapportioning the signal into the sub-voxels. We
     designed this method to correct MRI 2D slice images where partial
     volume can be a considerable limitation. Each voxel is divided into
     four (or more) sub-voxels by nearest neighbor interpolation. The
     gray level of each sub-voxel is considered as "materials" able to
     move between sub-voxels but not between voxels. A partial differential
     equation is written to allow the material to flow towards the highest
     gradient direction, creating a "reverse" diffusion process. Flow
     is subject to constraints that tend to create step edges. Material
     is conserved in the process thereby conserving MR signal. The method
     proceeds until the flow decreases to a low value. To test the method,
     synthetic images were down-sampled to simulate the partial volume
     artifact and restored. Corrected images were remarkably closer both
     visually and quantitatively to the original images than those obtained
     from common interpolation methods: on simulated data mean square
     errors were 0.35, 1.09, and 1.24 for the proposed method, bicubic,
     and bilinear interpolation respectively. The method was relatively
     insensitive to noise. On MRI physical phantom and brain images, restored
     images processed with the new method were visually much closer to
     high-resolution counter-parts than those obtained with common interpolation
     methods. },
    
     journal = {Medical Imaging 2005},
    
     keywords = {Correction,DIFFUSION,partial volume,VOLUME},
    
     url = {http://link.aip.org/link/?PSI/5747/625/1}
     
    }
    



16. A. Saxena, G. Gupta, V. Gerasimov, and S. Ourselin. In-use Parameter Estimation of Inertial Sensors by Detecting Multilevel Quasi-static States. In KES2005, Melbourne, Australia, pages 595--601, September 2005. LNCS .
    

    @Inproceedings{Saxena:KES:05,
    
     author = {Saxena, A. and Gupta, G. and Gerasimov, V. and Ourselin, S.},
    
     title = {In-use Parameter Estimation of Inertial Sensors by Detecting Multilevel Quasi-static States},
    
     booktitle = {KES2005},
    
     year = 2005,
    
     address = {Melbourne, Australia},
    
     month = {September},
    
     pages = {595--601},
    
     publisher = {LNCS}
     
    }
    



17. C.H. Thng, L. Gao, J.S.P. Yuen, P.H. Tan, S.J.L. Phee , D. Xiao, H.Y. Ma, C.F. Chan, H. Ho, W.K.O. Lau and W.S. Ng, and C.W.S. Cheng. Direct correlation of MRI and MRS with Histology for prostate carcinoma. In Proc. 14th Singapore Radiological Society Annual Scientific Meeting, Singapore, Feb 2005.
    

    @INPROCEEDINGS{DiXiaoC006,
    
     author = {C.H. Thng and L. Gao and J.S.P. Yuen and P.H. Tan and S.J.L. Phee
     and D. Xiao and H.Y. Ma and C.F. Chan and H. Ho and W.K.O. Lau and
     W.S. Ng and C.W.S. Cheng},
    
     title = {Direct correlation of MRI and MRS with Histology for prostate carcinoma},
    
     booktitle = {Proc. 14th Singapore Radiological Society Annual Scientific Meeting},
    
     year = {2005},
    
     address = {Singapore},
    
     month = {Feb}
     
    }
    



18. D. Xiao, F. Liu, W.S. Ng, U.R. Abeyratne, C.B.S. Tsang , X.B. Gao, and H.J. Chen. Prototype of rectal wall ultrasound image acquisition system. In Proc. 12th International Conference on BioMedical Engineering(ICBME), Singapore, December 2005.
    

    @INPROCEEDINGS{DiXiaoC003,
    
     author = {D. Xiao and F. Liu and W.S. Ng and U.R. Abeyratne and C.B.S. Tsang
     and X.B. Gao and H.J. Chen},
    
     title = {Prototype of rectal wall ultrasound image acquisition system},
    
     booktitle = {Proc. 12th International Conference on BioMedical Engineering(ICBME)},
    
     year = {2005},
    
     address = {Singapore},
    
     month = {December}
     
    }
    



19. D. Xiao, L. Phee, J. Yuen, C.F. Chan, F. Liu, W.S. Ng, H. Ho, C.H. Thng, P.H. Tan, and C. Cheng. Software design of transperineal prostate needle biopsy robot. In Proc. IEEE Conference on Control Applications CCA 2005, volume 1, Toronto, Canada, pages 13-18, Aug 2005.
    

    @INPROCEEDINGS{DiXiaoC005,
    
     author = {D. Xiao and L. Phee and J. Yuen and C.F. Chan and F. Liu and W.S.
     Ng and H. Ho and C.H. Thng and P.H. Tan and C. Cheng},
    
     title = {Software design of transperineal prostate needle biopsy robot},
    
     booktitle = {Proc. IEEE Conference on Control Applications CCA 2005},
    
     year = {2005},
    
     volume = {1},
    
     pages = {13-18},
    
     address = {Toronto, Canada},
    
     month = {Aug}
     
    }
    



20. Z Zhengdong, P. Haigron, O. Acosta, S. Huazhong, Y. Wenxue, L Liming, J. Manens, and A. Lucas. A Study of Intravascular Brachytherapy Treatment Planning in Peripheral Arteries. In Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the, Shangai, China, pages 2316-2318, 1-4 September 2005 . IEEE.
    

    @InProceedings{Acosta:IEEE_EMBS:05,
    
     Author = {Zhengdong, Z and Haigron, P. and Acosta, O. and Huazhong, S. and Wenxue, Y. and Liming, L and Manens, J. and Lucas, A.},
    
     Title = {A Study of Intravascular Brachytherapy Treatment Planning in Peripheral Arteries},
    
     BookTitle = {Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the},
    
     Address = {Shangai, China},
    
     month = {1-4 September},
    
     optannote = {},
    
     optcrossref = {},
    
     opteditor = {},
    
     optkey = {},
    
     pages = {2316-2318},
    
     optnumber = {},
    
     optorganization = {},
    
     publisher = {IEEE},
    
     optseries = {},
    
     optvolume = {},
    
     pdf = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1616929&isnumber=33900},
    
     year = 2005
     
    }