Academic Journal

FireVoxel: Interactive Software for Multi-Modality Analysis of Dynamic Medical Images.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: FireVoxel: Interactive Software for Multi-Modality Analysis of Dynamic Medical Images.
Συγγραφείς: Mikheev A; Department of Radiology, NYU Grossman School of Medicine, 660 First Ave, Rm. 413, New York, NY, 10016, USA., DiMartino JM; Department of Radiology, NYU Grossman School of Medicine, 660 First Ave, Rm. 413, New York, NY, 10016, USA., Bokacheva L; Department of Neurology, NYU Grossman School of Medicine, New York, NY, 10016, USA., Rusinek H; Department of Radiology, NYU Grossman School of Medicine, 660 First Ave, Rm. 413, New York, NY, 10016, USA. hr18@nyu.edu.
Πηγή: Journal of imaging informatics in medicine [J Imaging Inform Med] 2025 Dec; Vol. 38 (6), pp. 3397-3416. Date of Electronic Publication: 2025 Feb 03.
Τύπος έκδοσης: Journal Article; Review
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE
Imprint Name(s): Original Publication: [Cham, Switzerland] : Springer Nature, [2024]-
Ιατρικοί όροι (MeSH): Image Processing, Computer-Assisted*/methods , Multimodal Imaging*/methods , Software*, Humans ; User-Computer Interface ; Magnetic Resonance Imaging
Περίληψη: This article provides an overview of the FireVoxel software for quantitative analysis of medical images and its applications in the field. We describe FireVoxel's user interface, multi-layer design, dynamic parametric models, and several turn-key workflows. Additionally, we discuss its application in recent imaging projects. We outline basic image analysis tools such as segmentation, non-uniformity correction, and coregistration through a pictorial overview, with a focus on deformable coregistration and motion correction. Several example workflows and image-based dynamic modeling are also highlighted. Furthermore, we analyze peer-reviewed studies that utilized FireVoxel for image processing, categorizing published papers based on body structures/organs, image processing methods, and imaging modalities. For comparison, we searched the Ovid MEDLINE database to assess the general use of medical image analysis software. FireVoxel is used by over 3000 users worldwide, with 528 articles, including 413 in English, published in the past 15 years. MRI is the most commonly used imaging modality (78.2%), followed by CT (14.5%) and PET (7.3%). The most frequently used methods are dynamic modeling, segmentation, texture analysis, and coregistration. FireVoxel is commonly used in abdominal and genitourinary imaging studies, where it appears to fill a niche due to the lack of alternative software. The search of the Ovid MEDLINE suggests that quantitative medical imaging studies, on the other hand, focus on the brain and cardiovascular system. FireVoxel offers an effective set of quantitative tools, particularly for abdominal and genitourinary imaging, likely due to its ability to manage patient motion and correct for MR artifacts. The software is especially valuable for processing dynamic studies. The steady increase in publications utilizing FireVoxel reflects growing interest in this software and its relevance for image-based research.
(© 2025. The Author(s) under exclusive licence to Society for Imaging Informatics in Medicine.)
Competing Interests: Declarations. Conflict of Interest: The Authors state that there are no conflicts of interest.
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Grant Information: P30 AG066512 United States AG NIA NIH HHS; P41 EB017183 United States EB NIBIB NIH HHS; U24 EB028980 United States EB NIBIB NIH HHS; U24 NS135568 United States NS NINDS NIH HHS
Contributed Indexing: Keywords: Diffusion-weighted imaging; Dynamic contrast-enhanced imaging; Dynamic imaging; Dynamic modeling; Medical image analysis; Quantitative imaging; Research software
Entry Date(s): Date Created: 20250203 Date Completed: 20251213 Latest Revision: 20251229
Update Code: 20260130
PubMed Central ID: PMC12701170
DOI: 10.1007/s10278-025-01404-x
PMID: 39900865
Βάση Δεδομένων: MEDLINE
Περιγραφή
ISSN:2948-2933
DOI:10.1007/s10278-025-01404-x