| bibtype |
J -
Journal Article
|
| ARLID |
0509266 |
| utime |
20240103222647.6 |
| mtime |
20191008235959.9 |
| SCOPUS |
85071780835 |
| WOS |
000491861000094 |
| DOI |
10.1016/j.neuroimage.2019.116120 |
| title
(primary) (eng) |
SpinDoctor: A MATLAB toolbox for diffusion MRI simulation |
| specification |
| page_count |
23 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0254472 |
| ISSN |
1053-8119 |
| title
|
Neuroimage |
| volume_id |
202 |
| publisher |
|
|
| keyword |
Bloch-torrey equation |
| keyword |
Diffusion magnetic resonance imaging |
| keyword |
Simulation |
| keyword |
Finite elements |
| keyword |
Apparent diffusion coefficient |
| author
(primary) |
| ARLID |
cav_un_auth*0380743 |
| name1 |
Li |
| name2 |
J. R. |
| country |
FR |
| garant |
K |
|
| author
|
| ARLID |
cav_un_auth*0380744 |
| name1 |
Nguyen |
| name2 |
V. D. |
| country |
SE |
|
| author
|
| ARLID |
cav_un_auth*0380745 |
| name1 |
Tran |
| name2 |
T. N. |
| country |
FR |
|
| author
|
| ARLID |
cav_un_auth*0292941 |
| name1 |
Valdman |
| name2 |
Jan |
| institution |
UTIA-B |
| full_dept (cz) |
Matematická teorie rozhodování |
| full_dept |
Department of Decision Making Theory |
| department (cz) |
MTR |
| department |
MTR |
| full_dept |
Department of Decision Making Theory |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0380746 |
| name1 |
Trang |
| name2 |
C. B. |
| country |
FR |
|
| author
|
| ARLID |
cav_un_auth*0380747 |
| name1 |
Nguyen |
| name2 |
K. V. |
| country |
FR |
|
| author
|
| ARLID |
cav_un_auth*0380748 |
| name1 |
Vu |
| name2 |
D. T. S. |
| country |
FR |
|
| author
|
| ARLID |
cav_un_auth*0380749 |
| name1 |
Tran |
| name2 |
H. A. |
| country |
FR |
|
| author
|
| ARLID |
cav_un_auth*0380750 |
| name1 |
Tran |
| name2 |
H. T. A. |
| country |
FR |
|
| author
|
| ARLID |
cav_un_auth*0380751 |
| name1 |
Nguyen |
| name2 |
T. M. P. |
| country |
FR |
|
| source |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0347023 |
| project_id |
GA17-04301S |
| agency |
GA ČR |
|
| abstract
(eng) |
This paper describes a publicly available MATLAB toolbox called SpinDoctor that can be used 1) to solve the Bloch-Torrey partial differential equation in order to simulate the diffusion magnetic resonance imaging signal. 2) to solve a diffusion partial differential equation to obtain directly the apparent diffusion coefficient. 3) to compare the simulated apparent diffusion coefficient with a short-time approximation formula. The partial differential equations are solved by P1 finite elements combined with built-in MATLAB routines for solving ordinary differential equations. The finite element mesh generation is performed using an external package called Tetgen. |
| result_subspec |
WOS |
| RIV |
BA |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10101 |
| reportyear |
2020 |
| num_of_auth |
10 |
| mrcbC52 |
4 A hod sml 4ah 4as 20231122144313.2 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0300012 |
| mrcbC61 |
1 |
| mrcbC64 |
1 Department of Decision Making Theory UTIA-B 10102 MATHEMATICS, APPLIED |
| confidential |
S |
| contract |
| name |
RIGHTS & ACCESS |
| date |
20191031 |
|
| article_num |
116120 |
| mrcbC86 |
3+4 Article Chemistry Multidisciplinary |
| mrcbC91 |
C |
| mrcbT16-e |
RADIOLOGY.NUCLEARMEDICINE&MEDICALIMAGING|NEUROSCIENCES|NEUROIMAGING |
| mrcbT16-f |
6.682 |
| mrcbT16-g |
1.532 |
| mrcbT16-h |
8.4 |
| mrcbT16-i |
0.12566 |
| mrcbT16-j |
2.24 |
| mrcbT16-k |
102631 |
| mrcbT16-q |
438 |
| mrcbT16-s |
3.207 |
| mrcbT16-y |
75 |
| mrcbT16-x |
6.22 |
| mrcbT16-3 |
17248 |
| mrcbT16-4 |
Q1 |
| mrcbT16-5 |
4.982 |
| mrcbT16-6 |
1019 |
| mrcbT16-7 |
Q1 |
| mrcbT16-B |
90.228 |
| mrcbT16-C |
93 |
| mrcbT16-D |
Q1 |
| mrcbT16-E |
Q1* |
| mrcbT16-M |
1.78 |
| mrcbT16-N |
Q1 |
| mrcbT16-P |
96.429 |
| arlyear |
2019 |
| mrcbTft |
\nSoubory v repozitáři: valdman-0509266.pdf, valdman-0509266-copyright.html |
| mrcbU14 |
85071780835 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000491861000094 WOS |
| mrcbU63 |
cav_un_epca*0254472 Neuroimage 1053-8119 1095-9572 Roč. 202 č. 1 2019 Elsevier |
|