000 02309nam a2200337 i 4500
001 CR9781316217795
003 UkCbUP
005 20240730160831.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 140923s2015||||enk o ||1 0|eng|d
020 _a9781316217795 (ebook)
020 _z9781107103764 (hardback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aRC386.6.M34
_bM35 2015
082 0 0 _a616.07/548
_223
100 1 _aMajumdar, Angshul,
_eauthor.
_975187
245 1 0 _aCompressed sensing for magnetic resonance image reconstruction /
_cAngshul Majumdar.
264 1 _aCambridge :
_bCambridge University Press,
_c2015.
300 _a1 online resource (xv, 206 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aTitle from publisher's bibliographic system (viewed on 06 Jun 2016).
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 _aExpecting the reader to have some basic training in liner algebra and optimization, the book begins with a general discussion on CS techniques and algorithms. It moves on to discussing single channel static MRI, the most common modality in clinical studies. It then takes up multi-channel MRI and the interesting challenges consequently thrown up in signal reconstruction. Off-line and on-line techniques in dynamic MRI reconstruction are visited. Towards the end the book broadens the subject by discussing how CS is being applied to other areas of biomedical signal processing like X-ray, CT and EEG acquisition. The emphasis throughout is on qualitative understanding of the subject rather than on quantitative aspects of mathematical forms. The book is intended for MRI engineers interested in the brass tacks of image formation; medical physicists interested in advanced techniques in image reconstruction; and mathematicians or signal processing engineers.
650 0 _aCompressed sensing (Telecommunication)
_94529
776 0 8 _iPrint version:
_z9781107103764
856 4 0 _uhttps://doi.org/10.1017/CBO9781316217795
942 _cEBK
999 _c84379
_d84379