ReviewJournal of digital imaging2004
A review of the automated detection of change in serial imaging studies of the brain.
Review in Journal of digital imaging, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
13 citing papers in PubMed.
- Assessment of Progression-Free-Survival in Glioblastomas by Intratreatment Dynamic Contrast-Enhanced MRI.Clinical neuroradiology · 2016Trial
- Evaluation of the Statistical Detection of Change Algorithm for Screening Patients with MS with New Lesion Activity on Longitudinal Brain MRI.AJNR. American journal of neuroradiology · 2023Article
- Direct Evaluation of Treatment Response in Brain Metastatic Disease with Deep Neuroevolution.Journal of digital imaging · 2023Article
- The TRUTH confirmed: validation of an intraindividual comparison of gadobutrol and gadoteridol for imaging of glioblastoma using quantitative enhancement analysis.European radiology experimental · 2021Article
- Detection of Volume-Changing Metastatic Brain Tumors on Longitudinal MRI Using a Semiautomated Algorithm Based on the Jacobian Operator Field.AJNR. American journal of neuroradiology · 2017Article
- Validation of White-Matter Lesion Change Detection Methods on a Novel Publicly Available MRI Image Database.Neuroinformatics · 2016Article
- Article
- Automated detection of multiple sclerosis lesions in serial brain MRI.Neuroradiology · 2012Review
- Fuzzy logic: A "simple" solution for complexities in neurosciences?Surgical neurology international · 2011Article
- Part 1. Automated change detection and characterization in serial MR studies of brain-tumor patients.Journal of digital imaging · 2007Article
- Change detection & characterization: a new tool for imaging informatics and cancer research.Cancer informatics · 2007Article
- Image registration improves confidence and accuracy of image interpretation.Cancer informatics · 2007Article
- Real-world use of diagnostic tests for mild cognitive impairment, Alzheimer's disease, and other dementias in Medicare fee-for-service beneficiaries.Alzheimer's & dementia (Amsterdam, Netherlands)Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Serial imaging is frequently performed on patients with diseases of the brain, to track and observe changes. Magnetic resonance imaging provides very detailed and rich information, and is therefore used frequently for this application. The data provided by MR can be so plentiful; however, that it obfuscates the information the radiologist seeks. A system which could reduce the large quantity of primitive data to a smaller and more informative subset of data, emphasizing change, would be useful. This article discusses motivating factors for the production of an automated process to this effect, and reviews the approaches of previous authors. The discussion is focused on brain tumors and multiple sclerosis, but many of the ideas are applicable to other disease processes, as well.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.