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Volumn 6361 LNCS, Issue PART 1, 2010, Pages 615-622

General and efficient super-resolution method for multi-slice MRI

Author keywords

affine transformation; conjugated gradients; multi dimensional imaging; multi slice imaging; reconstruction; Super resolution

Indexed keywords

AFFINE TRANSFORMATIONS; CONJUGATED GRADIENT; MULTI SLICES; MULTI-DIMENSIONAL IMAGING; RECONSTRUCTION; SUPER RESOLUTION;

EID: 84866560052     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15705-9_75     Document Type: Conference Paper
Times cited : (56)

References (9)
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  • 4
    • 65549112670 scopus 로고    scopus 로고
    • Superresolution in MRI?
    • Scheffler, K.: Superresolution in MRI? Magn. Reson Med. 48, 408 (2002)
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    • Scheffler, K.1
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    • MRI inter-slice reconstruction using super-resolution
    • DOI 10.1016/S0730-725X(02)00511-8, PII S0730725X02005118
    • Greenspan, H., Oz, G., Kiryati, N., Peled, S.: MRI inter-slice reconstruction using super-resolution. Magn. Reson Imaging 20, 437-446 (2002) (Pubitemid 35006900)
    • (2002) Magnetic Resonance Imaging , vol.20 , Issue.5 , pp. 437-446
    • Greenspan, H.1    Oz, G.2    Kiryati, N.3    Peled, S.4
  • 6
    • 65549129259 scopus 로고    scopus 로고
    • A super-resolution framework for 3-D high-resolution and high-contrast imaging using 2-D multislice MRI
    • Shilling, R.Z., Robbie, T.Q., Bailloeul, T., Mewes, K., Mersereau, R.M., Brummer, M.E.: A super-resolution framework for 3-D high-resolution and high-contrast imaging using 2-D multislice MRI. IEEE T. Med. Imaging 28(5), 633-644 (2009)
    • (2009) IEEE T. Med. Imaging , vol.28 , Issue.5 , pp. 633-644
    • Shilling, R.Z.1    Robbie, T.Q.2    Bailloeul, T.3    Mewes, K.4    Mersereau, R.M.5    Brummer, M.E.6
  • 8
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    • Methods of conjugate gradients for solving linear systems
    • Hestenes, M.R., Stiefel, E.: Methods of conjugate gradients for solving linear systems. J. Res. Nat. Bur. Stand 49(6), 409-436 (1952)
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    • Hestenes, M.R.1    Stiefel, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.