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| Gerald Q. Maguire Jr., Marilyn E. Noz, Henry Rusinek, Judith Jaeger, Elissa L. Kramer, Joseph J. Sanger, Gewn Smith, "Graphics Applied to Medical Image Registration," IEEE Computer Graphics and Applications, vol. 11, no. 2, pp. 20-28, March/April, 1991. | |||
| BibTex | x | ||
| @article{ 10.1109/38.75587, author = {Gerald Q. Maguire Jr. and Marilyn E. Noz and Henry Rusinek and Judith Jaeger and Elissa L. Kramer and Joseph J. Sanger and Gewn Smith}, title = {Graphics Applied to Medical Image Registration}, journal ={IEEE Computer Graphics and Applications}, volume = {11}, number = {2}, issn = {0272-1716}, year = {1991}, pages = {20-28}, doi = {http://doi.ieeecomputersociety.org/10.1109/38.75587}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Computer Graphics and Applications TI - Graphics Applied to Medical Image Registration IS - 2 SN - 0272-1716 SP20 EP28 EPD - 20-28 A1 - Gerald Q. Maguire Jr., A1 - Marilyn E. Noz, A1 - Henry Rusinek, A1 - Judith Jaeger, A1 - Elissa L. Kramer, A1 - Joseph J. Sanger, A1 - Gewn Smith, PY - 1991 VL - 11 JA - IEEE Computer Graphics and Applications ER - | |||
Software that has been developed to automate and standardize comparison of 3D images is discussed. The major approaches to image registration are examined. The authors' registration and reconstruction software is described. Studies carried out to determine the relative accuracy of the present registration methods are reported. The main goal of the authors is to improve on commercial SPECT reconstruction algorithms and provide quantification accuracy sufficient for numerical assessment of tracer distribution.
1. G.Q. Maguire Jr. et al., "Use of Graphical Techniques for Error Evaluation,"J. Medical Systems, Vol. 11, No. 4, July/Aug. 1987, pp. 277-286.
2. E.L. Kramer and M.E. Noz, "CT/SPECT Fusion for Analysis of Radio-labeled Antibodies: Applications in Gastrointestinal and Lung Carcinoma,"Int'l J. Radiation Applications and Instrumentation, Part B, Nuclear Medicine and Biology, Vol. 18, No. 1, Jan. 1991, pp. 27-48.
3. C.A. Pelizzari et al., "Accurate Three-Dimensional Registration of CT, PET, and/or MR Images of the Brain,"J. Computer Assisted Tomography. Vol. 13, No. 1, Jan./Feb. 1989, pp. 20-26.
4. C. Bohm et al., "Adjustable Computerized Stereotaxic Brain Atlas for Transmission and Emission Tomography,"Am. J. Neuroradiology, Vol. 4, No. 3, March 1983, pp. 731-733.
5. R. Bajcsy and C. Broit, "Matching of Deformed Images,"IEEE Proc. Sixth Int'l Conf. on Pattern Recognition, Oct. 1982, pp. 351-353.
6. A.C. Evans et al., "Anatomical-Functional Correlation Using an Adjustable MRI-Based Region of Interest Atlas with Positron Emission Tomography,"J. Cerebral Blood Flow and Metabolism, Vol. 8, No. 8, Aug. 1988, pp. 513-530.
7. M.E. Noz and G.Q. Maguire Jr., "QSH: A Minimal but Highly Portable Image Display and Processing Toolkit,"Computer Methods and Programs in Biomedicine, Vol. 27, No. 11, Nov. 1988, pp. 229-240.
8. G.Q. Maguire Jr. and M.E. Noz, "Image Formats: Five Years after the AAPM Standard Format for Digital Image Interchange,"Medical Physics, Vol. 16, No. 5, Sept./Oct. 1989, pp. 818-823.
9. G.Q. Maguire Jr. et al., "Correlation Methods for Tomographic Images Using Two- and Three-Dimensional Techniques," inInformation Processing in Medical Imaging, S.L. Bacharach, ed., Martinus Nijhoff, Dordrecht, The Netherlands, Jan. 1986, pp. 266-279.
10. M. Singh et al., "A Digital Technique for Accurate Change Detection in Nuclear Medicine Images--With Application to Myocardial Perfusion Studies Using Thallium 201,"IEEE Trans. Nuclear Science, Vol. NS-26. No. 1, Feb. 1979, pp. 565-575
11. M.L. Rhodes, W.V. Glenn, and Y.M. Azzawi, "Extracting Oblique Planes from Serial CT Sections,"J. Computer Assisted Tomography, Vol. 4, No. 5, Sept./Oct. 1980, pp. 649-657.
12. G. Pawlik et al., "Some Maximum Likelihood Methods Useful for the Regional Analysis of Dynamic PET Data on Brain Glucose Metabolism," inInformation Processing in Medical Imaging, S.L. Bacharach, ed., Martinus Nijhoff, Dordrecht, The Netherlands, Jan. 1986, pp. 298- 309.