ArticleMedical image analysis2021
OFx: A method of 4D image construction from free-breathing non-gated MRI slice acquisitions of the thorax via optical flux.
Article in Medical image analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 26 citations in OpenAlex.
- Estimating pediatric lung volumetric parameters via rapid, limited-slice, free-breathing thoracic dynamic MRI.Medical physics · 2026Article
- Source-free domain adaptation for multi-institutional chest X-ray images.Journal of applied clinical medical physics · 2026Article
- Auto-segmentation of thoraco-abdominal organs in pediatric dynamic MRI.Medical physics · 2025Article
- Comparative analysis of thoracic structure and function using CT and dynamic MRI in pediatric thoracic insufficiency syndrome with and without neuromuscular disease.Spine deformity · 2025Article
- Assessment of Regional 3D Hemi-diaphragmatic Motion Via Free-breathing Dynamic MRI in Pediatric Thoracic Insufficiency Syndrome.Academic radiology · 2025Article
- Techniques for Respiratory Motion-Resolved Magnetic Resonance Imaging of the Chest in Children with Spinal or Chest Deformities: A Comprehensive Overview.Journal of clinical medicine · 2025Review
- Quantifying Normal Diaphragmatic Motion and Shape and Their Developmental Changes via Dynamic MRI.CHEST pulmonary · 2025Article
- Advances of surgical robotics: image-guided classification and application.National science review · 2024Review
- Characterizing Lung Parenchymal Aeration via Standardized Signal Intensity from Free-breathing 4D Dynamic MRI in Phantoms, Healthy Children, and Pediatric Patients with Thoracic Insufficiency Syndrome.Radiology. Cardiothoracic imaging · 2024Article
- Auto-segmentation of thoraco-abdominal organs in free breathing pediatric dynamic MRI.Proceedings of SPIE--the International Society for Optical Engineering · 2023Article
- QdMRI: A system for comprehensive analysis of thoracic dynamics via dynamic MRI.Proceedings of SPIE--the International Society for Optical EngineeringArticle
- Regional diaphragm motion analysis via dynamic MRI.Proceedings of SPIE--the International Society for Optical EngineeringArticle
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Authors and funding
12 authors at 3 institutions in 2 countries.
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Abstract
purposeSince real-time 4D dynamic magnetic resonance imaging (dMRI) methods with adequate spatial and temporal resolution for imaging the pediatric thorax are currently not available, free-breathing slice acquisitions followed by appropriate 4D construction methods are currently employed. Self-gating methods, which extract breathing signals only from image information without any external gating technology, have much potential for this purpose, such as for use in studying pediatric thoracic insufficiency syndrome (TIS). Patients with TIS frequently suffer from extreme malformations of the chest wall, diaphragm, and spine, leading to breathing that is very complex, including deep or shallow respiratory cycles. Existing 4D construction methods cannot perform satisfactorily in this scenario, and most are not fully automatic, requiring manual interactive operations. In this paper, we propose a novel fully automatic 4D image construction method based on an image-derived concept called flux to address these challenges.
methodsWe utilized 25 dMRI data sets from 25 pediatric subjects with no known thoracic anomalies and 58 dMRI data sets from 29 patients with TIS where each patient had a dMRI scan before and after surgery. A time sequence of 80 slices are acquired at each sagittal location continuously at a rate of ~480 ms per slice under free-breathing conditions, with 30-40 sagittal locations across the chest for each subject depending on the thoracic size. In our approach, we first extract the breathing signal for each sagittal location based on the flux of the optical flow vector field of the body region from the image time series. Here, for each time point of respiratory phase, the net flux of the body region can be regarded as the flux going into or out of the body region, which we term Optical Flux (OFx). OFx provides a very robust representation of the real breathing motion of the thorax. OFx allows us to perform a full analysis of all respiratory cycles, extract only normal cycles in a robust manner, and map all extracted normal cycles on to one cosine respiration model for each sagittal location. Subsequently, we re-sample one normal cycle from the respiration model for each location independently. The normal cycle models associated with the different sagittal locations are finally composited to form the final constructed 4D image.
resultsWe employ several metrics to evaluate the quality of the 4D construction results: E
conclusionsA new 4D dMRI construction method based on the concept of optical flux is presented which is fully automatic and very robust in deriving respiratory signals purely from dynamic image sequences even when presented with complex breathing patterns due to severe disease conditions like TIS. Evaluations show that its accuracy is comparable to the variations found in manual annotations. An important characteristic of the method is that it is independent of the number of sagittal locations used in the construction process, which suggests that it is applicable to imaging techniques where data are acquired at only a few sagittal locations instead of the full width of the thorax. The method is not tied to any specific imaging modality, as demonstrated in this paper on not just dMRI but dynamic computed tomography (CT) as well.
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