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<bibitem type="J">   <ARLID>0497932</ARLID> <utime>20240103221106.0</utime><mtime>20181211235959.9</mtime>   <SCOPUS>85058653636</SCOPUS> <WOS>000452196100006</WOS>  <DOI>10.1515/msr-2018-0036</DOI>           <title language="eng" primary="1">Time-Efficient Perfusion Imaging Using DCE- and DSC-MRI</title>  <specification> <page_count>10 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0294890</ARLID><ISSN>1335-8871</ISSN><title>Measurement Science Review</title><part_num/><part_title/><volume_id>18</volume_id><volume>6 (2018)</volume><page_num>262-271</page_num><publisher><place/><name>Sciendo</name><year/></publisher></serial>    <keyword>perfusion imaging</keyword>   <keyword>contrast agents</keyword>   <keyword>brain tumors</keyword>   <keyword>DCE-MRI</keyword>   <keyword>DSC-MRI</keyword>    <author primary="1"> <ARLID>cav_un_auth*0297599</ARLID> <name1>Macíček</name1> <name2>Ondřej</name2> <full_dept language="cz">D3: Magnetická rezonance a Kryogenika</full_dept> <full_dept language="eng">D3: Magnetic Resonance and Cryogenics</full_dept> <institution>UPT-D</institution> <full_dept>Magnetic Resonance and Cryogenics</full_dept> <garant>K</garant> <fullinstit>Ústav přístrojové techniky AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0277120</ARLID> <name1>Jiřík</name1> <name2>Radovan</name2> <full_dept language="cz">D3: Magnetická rezonance a Kryogenika</full_dept> <full_dept>D3: Magnetic Resonance and Cryogenics</full_dept> <institution>UPT-D</institution> <full_dept>Magnetic Resonance and Cryogenics</full_dept> <fullinstit>Ústav přístrojové techniky AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0236760</ARLID> <name1>Mikulka</name1> <name2>J.</name2> <country>CZ</country> </author> <author primary="0"> <ARLID>cav_un_auth*0312355</ARLID> <name1>Bartoš</name1> <name2>Michal</name2> <full_dept language="cz">Zpracování obrazové informace</full_dept> <full_dept>Department of Image Processing</full_dept> <department language="cz">ZOI</department> <department>ZOI</department> <institution>UTIA-B</institution> <full_dept>Department of Image Processing</full_dept> <country>CZ</country> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0244979</ARLID> <name1>Šprláková</name1> <name2>A.</name2> <country>CZ</country> </author> <author primary="0"> <ARLID>cav_un_auth*0297600</ARLID> <name1>Keřkovský</name1> <name2>M.</name2> <country>CZ</country> </author> <author primary="0"> <ARLID>cav_un_auth*0101622</ARLID> <name1>Starčuk jr.</name1> <name2>Zenon</name2> <full_dept language="cz">D3: Magnetická rezonance a Kryogenika</full_dept> <full_dept>D3: Magnetic Resonance and Cryogenics</full_dept> <institution>UPT-D</institution> <full_dept>Magnetic Resonance and Cryogenics</full_dept> <fullinstit>Ústav přístrojové techniky AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0101532</ARLID> <name1>Bartušek</name1> <name2>Karel</name2> <full_dept language="cz">D3: Magnetická rezonance a Kryogenika</full_dept> <full_dept>D3: Magnetic Resonance and Cryogenics</full_dept> <institution>UPT-D</institution> <full_dept>Magnetic Resonance and Cryogenics</full_dept> <fullinstit>Ústav přístrojové techniky AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0277119</ARLID> <name1>Taxt</name1> <name2>T.</name2> <country>NO</country> </author>        <cas_special> <project> <ARLID>cav_un_auth*0338628</ARLID> <project_id>GA16-13830S</project_id> <agency>GA ČR</agency> <country>CZ</country> </project> <project> <ARLID>cav_un_auth*0303710</ARLID> <project_id>LO1212</project_id> <agency>GA MŠk</agency> <country>CZ</country> </project> <project> <ARLID>cav_un_auth*0266369</ARLID> <project_id>ED0017/01/01</project_id> <agency>GA MŠk</agency> </project> <project> <ARLID>cav_un_auth*0333008</ARLID> <project_id>LM2015062</project_id> <agency>GA MŠk</agency> <country>CZ</country> </project> <project> <project_id>EF16_013/0001775</project_id> <agency>GA MŠk</agency> <country>CZ</country> <ARLID>cav_un_auth*0362565</ARLID> </project>  <abstract language="eng" primary="1">Dynamic contrast enhanced MRI (DCE-MRI) and dynamic susceptibility contrast MRI (DSC-MRI) are perfusion imaging techniques used mainly for clinical and preclinical measurement of vessel permeability and capillary blood flow, respectively. It is advantageous to apply both methods to exploit their complementary information about the perfusion status of the tissue. We propose a novel acquisition method that combines advantages of the current simultaneous and sequential acquisition. The proposed method consists of a DCE-MRI acquisition interrupted by DSC-MRI acquisition. A new method for processing of the DCE-MRI data is proposed which takes the interleaved acquisition into account. Analysis of both the DCE- and DSC-MRI data is reformulated so that they are approximated by the same pharmacokinetic model (constrained distributed capillary adiabatic tissue homogeneity model). This provides a straightforward evaluation of the methodology as some of the estimated DCE- and DSC-MRI perfusion parameters should be identical. Evaluation on synthetic data showed an acceptable precision and no apparent bias introduced by the interleaved character of the DCE-MRI acquisition. Intravascular perfusion parameters obtained from clinical glioma data showed a fairly high correlation of blood flow estimates from DCE- and DSC-MRI, however, an unknown scaling factor was still present mainly because of the tissue-specific r*2 relaxivity. The results show validity of the proposed acquisition method. They also indicate that simultaneous processing of both DCE- and DSC-MRI data with joint estimation of some perfusion parameters (included in both DCE- and DSC-MRI) might be possible to increase the reliability of the DCE- and DSC-MRI methods alone.</abstract>     <result_subspec>WOS</result_subspec> <RIV>FS</RIV> <FORD0>20000</FORD0> <FORD1>20600</FORD1> <FORD2>20601</FORD2>    <reportyear>2019</reportyear>      <num_of_auth>9</num_of_auth>  <unknown tag="mrcbC47"> UTIA-B 20000 20200 20206 </unknown> <unknown tag="mrcbC52"> 4 A hod 4ah 20231122143641.1 </unknown> <unknown tag="mrcbC55"> UTIA-B JD </unknown> <inst_support> RVO:68081731 </inst_support> <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0290386</permalink>  <cooperation> <ARLID>cav_un_auth*0296535</ARLID> <name>Ústav teorie informace a automatizace AV ČR</name> <institution>ÚTIA AV ČR</institution> <country>CZ</country> </cooperation> <unknown tag="mrcbC64"> 1 Department of Image Processing UTIA-B 30224 RADIOLOGY, NUCLEAR MEDICINE &amp; MEDICAL IMAGING </unknown>  <confidential>S</confidential>  <unknown tag="mrcbC86"> 3+4 Article Instruments Instrumentation </unknown>        <unknown tag="mrcbT16-e">INSTRUMENTS&amp;INSTRUMENTATION</unknown> <unknown tag="mrcbT16-f">1.157</unknown> <unknown tag="mrcbT16-g">0.306</unknown> <unknown tag="mrcbT16-h">6.2</unknown> <unknown tag="mrcbT16-i">0.00059</unknown> <unknown tag="mrcbT16-j">0.21</unknown> <unknown tag="mrcbT16-k">542</unknown> <unknown tag="mrcbT16-s">0.325</unknown> <unknown tag="mrcbT16-5">0.973</unknown> <unknown tag="mrcbT16-6">36</unknown> <unknown tag="mrcbT16-7">Q4</unknown> <unknown tag="mrcbT16-B">5.433</unknown> <unknown tag="mrcbT16-C">23.8</unknown> <unknown tag="mrcbT16-D">Q4</unknown> <unknown tag="mrcbT16-E">Q3</unknown> <unknown tag="mrcbT16-M">0.44</unknown> <unknown tag="mrcbT16-N">Q3</unknown> <unknown tag="mrcbT16-P">23.77</unknown> <arlyear>2018</arlyear>    <unknown tag="mrcbTft">  Soubory v repozitáři: 0497932.pdf </unknown>    <unknown tag="mrcbU14"> 85058653636 SCOPUS </unknown> <unknown tag="mrcbU24"> PUBMED </unknown> <unknown tag="mrcbU34"> 000452196100006 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0294890 Measurement Science Review 1335-8871 1335-8871 Roč. 18 č. 6 2018 262 271 Sciendo </unknown> </cas_special> </bibitem>