000 | 01332cam a22003378i 4500 | ||
---|---|---|---|
001 | 18468686 | ||
005 | 20180419020003.0 | ||
008 | 150127s2015 ii b 001 0 eng | ||
010 | _a 2015003684 | ||
020 | _a9781107103764 | ||
035 | _a(DNLM)101650497 | ||
040 |
_aDNLM/DLC _cDLC _erda |
||
042 | _apcc | ||
050 | 0 | 0 | _aRC386.6.M34 |
060 | 1 | 0 | _aWN 185 |
082 | 0 | 0 |
_a616.075 _223 _bMAJ-C |
100 | 1 | _aMajumdar, Angshul | |
245 | 1 | 0 |
_aCompressed sensing for magnetic resonance image reconstruction _cAngshul Majumdar. |
260 |
_aNew Delhi : _bCambridge University Press, _c©2015. |
||
263 | _a1505 | ||
300 |
_axv, 206 p. ; _c24 cm. |
||
504 | _aIncludes bibliographical references and index. | ||
505 | 0 | _aMathematical techniques -- Single channel static MR image reconstruction -- Multi-coil parallel MRI reconstruction -- Dynamic MRI reconstruction -- Applications in other areas -- Some open problems. | |
520 | _a"Discusses different ways to use existing mathematical techniques to solve compressed sensing problems"--Provided by publisher. | ||
650 | 1 | 2 |
_aImage Processing, Computer-Assisted _xmethods. |
650 | 1 | 2 |
_aMagnetic Resonance Imaging _xmethods. |
650 | 2 | 2 | _aAlgorithms. |
650 | 2 | 2 | _aModels, Theoretical. |
906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
||
942 |
_2ddc _cBK _04 |
||
999 |
_c10544 _d10544 |