Int J Comput Assist Radiol Surg - Comparative exploration of whole-body MR through locally rigid transforms.


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RPOSE: Whole-body MRI is seeing increasing use in the study and diagnosis of disease progression. In this, a central task is the visual assessment of the progressive changes that occur between two whole-body MRI datasets, taken at baseline and follow-up. Current radiological workflow for this consists in manual search of each organ of interest on both scans, usually on multiple data channels, for further visual comparison. Large size of datasets, significant posture differences, and changes in patient anatomy turn manual matching in an extremely labor-intensive task that requires from radiologists high concentration for long period of time. This strongly limits the productivity and increases risk of underdiagnosis.MATERIALS AND METHODS: We present a novel approach to the comparative visual analysis of whole-body MRI follow-up data. Our method is based on interactive derivation of locally rigid transforms from a pre-computed whole-body deformable registration. Using this approach, baseline and follow-up slices can be interactively matched with a single mouse click in the anatomical region of interest. In addition to the synchronized side-by-side baseline and matched follow-up slices, we have integrated four techniques to further facilitate the visual comparison of the two datasets: the "deformation sphere", the color fusion view, the magic lens, and a set of uncertainty iso-contours around the current region of interest.RESULTS: We have applied our method to the study of cancerous bone lesions over time in patients with Kahler's disease. During these studies, the radiologist carefully visually examines a large number of anatomical sites for changes. Our interactive locally rigid matching approach was found helpful in localization of cancerous lesions and visual assessment of changes between different scans. Furthermore, each of the features integrated in our software was separately evaluated by the experts.CONCLUSION: We demonstrated how our method significantly facilitates examination of whole-body MR datasets in follow-up studies by enabling the rapid interactive matching of regions of interest and by the explicit visualization of change.

Resumo Limpo

rpose wholebodi mri see increas use studi diagnosi diseas progress central task visual assess progress chang occur two wholebodi mri dataset taken baselin followup current radiolog workflow consist manual search organ interest scan usual multipl data channel visual comparison larg size dataset signific postur differ chang patient anatomi turn manual match extrem laborintens task requir radiologist high concentr long period time strong limit product increas risk underdiagnosismateri method present novel approach compar visual analysi wholebodi mri followup data method base interact deriv local rigid transform precomput wholebodi deform registr use approach baselin followup slice can interact match singl mous click anatom region interest addit synchron sidebysid baselin match followup slice integr four techniqu facilit visual comparison two dataset deform sphere color fusion view magic len set uncertainti isocontour around current region interestresult appli method studi cancer bone lesion time patient kahler diseas studi radiologist care visual examin larg number anatom site chang interact local rigid match approach found help local cancer lesion visual assess chang differ scan furthermor featur integr softwar separ evalu expertsconclus demonstr method signific facilit examin wholebodi mr dataset followup studi enabl rapid interact match region interest explicit visual chang

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