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MicroCT-based virtual histology evaluation of preclinical medulloblastoma
Suresh I. Prajapati
, Aoife Kilcoyne
, Aislynn K. Samano
,
Dustin P. Green
, Steven D. McCarthy
, Barron A. Blackman
, Michelle M. Brady
, Lee Ann Zarzabal
, Arun K. Tatiparthy
, Timothy J. Sledz
, Timothy Duong
, Sachiko Ohshima-Hosoyama
, Francis J. Giles
, Joel E. Michalek
, Brian P. Rubin
, Charles Keller
Research output
:
Contribution to journal
›
Article
›
peer-review
13
Scopus citations
Overview
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Keyphrases
Medulloblastoma
100%
Microcomputed Tomography
100%
Micro X-ray Computed Tomography
100%
Virtual Histology
100%
Magnetic Resonance Imaging
88%
Cerebellar Volume
33%
Therapeutic Response
22%
University of Texas
11%
Effective Means
11%
San Antonio
11%
Spatial Resolution
11%
Computed Tomography
11%
Genetic Engineering
11%
Spine
11%
Health Sciences Center
11%
Laboratory Animals
11%
Genetically Engineered Mouse Models
11%
Euthanized
11%
In Vivo Magnetic Resonance Imaging
11%
Live Animals
11%
In Vivo Imaging
11%
Costing Methods
11%
Cost Savings
11%
Low-dose Radiation
11%
Magnetic Resonance Imaging Scan
11%
High Field
11%
Tomographic Technique
11%
Animal Use
11%
Animal Care
11%
Bortezomib
11%
Childhood Cancer
11%
Micrometer Resolution
11%
Voxel Resolution
11%
Ex Vivo Techniques
11%
Cerebellar Tumor
11%
Voxel Volume
11%
Fast Scanning
11%
Animal Images
11%
Histology Images
11%
Patched1
11%
Medicine and Dentistry
Magnetic Resonance Imaging
100%
Medulloblastoma
100%
X-Ray Computed Tomography
90%
Ex Vivo
50%
Health Care Cost
30%
Treatment Response
20%
Histopathology
20%
Protein P53
10%
Childhood Cancer
10%
Isometrics
10%
Bortezomib
10%
Mouse Model of Cancer
10%
Cerebellum Tumor
10%
Protein Patched 1
10%