Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Karl Kiser"'
Publikováno v:
Tomography, Vol 9, Iss 2, Pp 721-735 (2023)
This paper investigates the effect of anisotropic resolution on the image textural features of pharmacokinetic (PK) parameters of a murine glioma model using dynamic contrast-enhanced (DCE) MR images acquired with an isotropic resolution at 7T with p
Externí odkaz:
https://doaj.org/article/860e32653311478ab419e3d4e79aff91
Autor:
Karl Kiser, Jin Zhang, Ayesha Bharadwaj Das, James A. Tranos, Youssef Zaim Wadghiri, Sungheon Gene Kim
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract This manuscript aims to evaluate the robustness and significance of the water efflux rate constant (k io ) parameter estimated using the two flip-angle Dynamic Contrast-Enhanced (DCE) MRI approach with a murine glioblastoma model at 7 T. The
Externí odkaz:
https://doaj.org/article/a977d27a2dbd4074907bf103aab34d76
Publikováno v:
PLoS ONE, Vol 15, Iss 6, p e0234520 (2020)
PurposeTo investigate the validity of contrast kinetic parameter estimates from Active Contrast Encoding (ACE)-MRI against those from conventional Dynamic Contrast-Enhanced (DCE)-MRI for evaluation of tumor treatment response in mouse tumor models.Me
Externí odkaz:
https://doaj.org/article/fccf9542dcac41fca482c5fce7f46c15
Publikováno v:
NMR in Biomedicine.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30bb77c45b8992b03f9915701bf3d8e6
https://doi.org/10.1002/nbm.4914
https://doi.org/10.1002/nbm.4914
Autor:
Karl Kiser, Jin Zhang, Ayesha Bharadwaj Das, James A. Tranos, Youssef Zaim Wadghiri, S. Gene Kim
This manuscript aims to evaluate the robustness and significance of the intracellular water lifetime (τi) parameter estimated using the two flip-angle Dynamic Contrast-Enhanced (DCE) MRI approach. The repeatability of contrast kinetic parameter meas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97ff92bf180600ef3cd40711c2a4574a
https://doi.org/10.21203/rs.3.rs-1816480/v1
https://doi.org/10.21203/rs.3.rs-1816480/v1
Publikováno v:
Journal of Economic Entomology. 77:599-605
Regressions of insectavac (IV) and sweepnet samples on absolute samples were run on 24 groups of insects in 12 genera, 1 family, and 5 superfamilies. The IV sampled more insects on a per unit basis and gave a more accurate estimate of population dens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f650addc04fa9e5f4fce7d6144cf57bd
https://doi.org/10.1093/jee/77.3.599
https://doi.org/10.1093/jee/77.3.599
Publikováno v:
Journal of Economic Entomology. 77:612-618
Factors affecting insect resistance in one ‘Acala’ and seven sister genotypes of ‘Stoneville’ cottons were tested from 1 July to 9 September (1,100–2,400 degree-days) at Las Cruces, N.Mex. from 1978 to 1981. There were 98,509 insect counts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1a3f3af3a8bab029c045d5fc22acaf9
https://doi.org/10.1093/jee/77.3.612
https://doi.org/10.1093/jee/77.3.612
Publikováno v:
Environmental Entomology. 13:259-265
A high-clearance tractor—the Insectavac—was constructed to facilitate the sampling of arthropods in field crops over large land masses. Mean catch rates varied from 14 to 64%, depending on the species sampled. The Insectavac consistently caught m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85ff1b2c447b288c63965d6a39995f06
https://doi.org/10.1093/ee/13.1.259
https://doi.org/10.1093/ee/13.1.259
Publikováno v:
Estimation and Analysis of Insect Populations ISBN: 9780387969985
The Mesilla Valley, New Mexico, cotton arthropod ecosystem is chosen to exemplify the complexity found in large interacting cropping ecosystems. Here arthropod density is greatly modified by migration from neighboring plant ecosystems; the complex gr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c7c2e34e51ee6b6ad01d3d1f7ba67f2
https://doi.org/10.1007/978-1-4612-3664-1_32
https://doi.org/10.1007/978-1-4612-3664-1_32