scholarly journals Applications of the Repeatability of Quantitative Imaging Biomarkers: A Review of Statistical Analysis of Repeat Data Sets

2009 ◽  
Vol 2 (4) ◽  
pp. 231-235 ◽  
Author(s):  
Huiman X. Barnhart ◽  
Daniel P. Barboriak
Keyword(s):  
Statistical Analysis ◽  
Quantitative Imaging ◽  
Imaging Biomarkers ◽  
Data Sets ◽  
Quantitative Imaging Biomarkers

scholarly journals Quantitative imaging biomarkers: A review of statistical methods for technical performance assessment

2014 ◽  
Vol 24 (1) ◽  
pp. 27-67 ◽  
Author(s):  
David L Raunig ◽  
Lisa M McShane ◽  
Gene Pennello ◽  
Constantine Gatsonis ◽  
Paul L Carson ◽  
...  
Keyword(s):  
Performance Assessment ◽  
Statistical Methods ◽  
Quantitative Imaging ◽  
Imaging Biomarkers ◽  
Technical Performance ◽  
Quantitative Imaging Biomarkers

scholarly journals Correction: Global spectral and local molecular connects for optical coherence tomography features to classify oral lesions towards unravelling quantitative imaging biomarkers

RSC Advances ◽  
2016 ◽  
Vol 6 (48) ◽  
pp. 42612-42612
Author(s):  
Satarupa Banerjee ◽  
Swarnadip Chatterjee ◽  
Anji Anura ◽  
Jitamanyu Chakrabarty ◽  
Mousumi Pal ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Quantitative Imaging ◽  
Imaging Biomarkers ◽  
Oral Lesions ◽  
Optical Coherence ◽  
Quantitative Imaging Biomarkers

Correction for ‘Global spectral and local molecular connects for optical coherence tomography features to classify oral lesions towards unravelling quantitative imaging biomarkers’ by Satarupa Banerjee et al., RSC Adv., 2016, 6, 7511–7520.

scholarly journals Multivariate Statistical Analysis of Spectrum Lines and Images

1997 ◽  
Vol 3 (S2) ◽  
pp. 931-932 ◽  
Author(s):  
Ian M. Anderson ◽  
Jim Bentley
Keyword(s):  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Quantitative Imaging ◽  
Boundary Segregation ◽  
Large Data ◽  
Data Sets ◽  
Multivariate Statistical ◽  
Data Set ◽  
Recent Developments ◽  
Data Files

Recent developments in instrumentation and computing power have greatly improved the potential for quantitative imaging and analysis. For example, products are now commercially available that allow the practical acquisition of spectrum images, where an EELS or EDS spectrum can be acquired from a sequence of positions on the specimen. However, such data files typically contain megabytes of information and may be difficult to manipulate and analyze conveniently or systematically. A number of techniques are being explored for the purpose of analyzing these large data sets. Multivariate statistical analysis (MSA) provides a method for analyzing the raw data set as a whole. The basis of the MSA method has been outlined by Trebbia and Bonnet.MSA has a number of strengths relative to other methods of analysis. First, it is broadly applicable to any series of spectra or images. Applications include characterization of grain boundary segregation (position-), of channeling-enhanced microanalysis (orientation-), or of beam damage (time-variation of spectra).

scholarly journals Quantitative Imaging Biomarkers for 90Y Distribution on Bremsstrahlung SPECT After Resin-Based Radioembolization

2019 ◽  
Vol 60 (8) ◽  
pp. 1066-1072
Author(s):  
Isabel Schobert ◽  
Julius Chapiro ◽  
Nariman Nezami ◽  
Charlie A. Hamm ◽  
Bernhard Gebauer ◽  
...  
Keyword(s):  
Quantitative Imaging ◽  
Imaging Biomarkers ◽  
Quantitative Imaging Biomarkers

scholarly journals Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE‐MRI derived biomarkers in multicenter oncology trials

2019 ◽  
Vol 49 (7) ◽  
pp. i-i ◽  
Author(s):  
Amita Shukla‐Dave ◽  
Nancy A. Obuchowski ◽  
Thomas L. Chenevert ◽  
Sachin Jambawalikar ◽  
Lawrence H. Schwartz ◽  
...  
Keyword(s):  
Quantitative Imaging ◽  
Imaging Biomarkers ◽  
Dce Mri ◽  
Quantitative Imaging Biomarkers
Sign in / Sign up

Export Citation Format

Share Document