DicomWorks: Software for Reviewing DICOM Studies and Promoting Low-cost Teleradiology

Puech, Philippe; Boussel, Loîc; Belfkih, Samir; Lemaître, L.; Douek, Philippe; Beuscart, R.

doi:10.1007/s10278-007-9018-7

Cited by 35 publications

(34 citation statements)

References 12 publications

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“…Mean volume of the aneurysms was 6760 Ϯ 6620 mm 3 (range, 410 -19,520 mm 3 ) for the outer wall and 2060 Ϯ 1200 mm 3 (range, 390 -5070 mm 3 ) for the lumen. Mean lumen-toouter-wall volume ratio was 62% Ϯ 38% (range, 11%-100%).…”

Section: Resultsmentioning

confidence: 98%

Monitoring Serial Change in the Lumen and Outer Wall of Vertebrobasilar Aneurysms

Boussel¹,

Wintermark²,

Martin³

et al. 2008

American Journal of Neuroradiology

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Section: Resultsmentioning

confidence: 98%

Monitoring Serial Change in the Lumen and Outer Wall of Vertebrobasilar Aneurysms

Boussel¹,

Wintermark²,

Martin³

et al. 2008

American Journal of Neuroradiology

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“…The chest x-ray was processed as follows. Images were reviewed using dedicated software (DicomWorks, http://www.dicomworks.com) 12 by an experienced radiologist (AH) who was blinded to the PEEP level at which the chest x-ray was taken. For all subjects, the regions of interest were manually drawn in 3 different posterior intercostal spaces (K4-K5, K6-K7, K8-K9), from top to bottom, in both lungs.…”

Section: Discussionmentioning

confidence: 99%

“…The mean value of the density was measured in each region of interest by the software. 12 Each chest x-ray specimen was read twice by the same radiologist. In every subject, the ratio of lung density measured at the P plat,rs corresponding to PEEP 15 cm H 2 O, to that measured at the P plat,rs corresponding to PEEP 5 cm H 2 O, was computed for each corresponding region of interest (rP15/P5).…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Recruited Lung Volume at Inspiratory Plateau Pressure With PEEP Using Bedside Digital Chest X-ray in Patients With Acute Lung Injury/ARDS

et al. 2013

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BACKGROUND:We wanted to assess whether there was a significant relationship between recruited lung volume (V rec ) and change in density on digital processed chest x-ray measured at 2 different levels of inspiratory plateau pressure corresponding to 2 PEEP levels in patients with acute lung injury or ARDS. METHODS: In 14 subjects, PEEP 5 cm H 2 O and 15 cm H 2 O were prospectively applied in a random order for 10 min. At the end of each period, chest x-ray was taken using a digital portable device, and a pressure-volume curve of the respiratory system was performed. We also assessed P aO 2 , and the static and the dynamic (C dyn,rs ) compliance of the respiratory system. Change in end-expiratory lung volume between tidal breath and relaxation volume of the respiratory system was determined. Radiological attenuation was measured on chest x-rays in 4 regions of interest in the right lung, and in 3 regions of interest in the left lung, drawn in posterior intercostal spaces from top to bottom, by using dedicated software. The ratio of lung density in each region between PEEP 15 and PEEP 5 (rP15/P5) and their arithmetic mean (P15/P5) were computed. V rec was determined from the pressure-volume curves. RESULTS: The median value of rP15/P5 in the 98 lung levels was 0.91 (0.80 -1.01), which was significantly different from 1 (P < .001). The values of rP15/P5 were not significantly different between the lung levels. The median values of V rec and P15/P5 were 288 (173-402) mL and 0.90 (0.80 -0.97), respectively. There was a significant negative correlation between V rec and P15/P5 (R ‫؍‬ ؊0.77, P ‫؍‬ .01). The reduction in P15/P5 tended to correlate with the increase in C dyn,rs (R ‫؍‬ ؊0.49, P ‫؍‬ .077) or in P aO 2 (R ‫؍‬ ؊0.53, P ‫؍‬ .05) between PEEP 15 cm H 2 O and PEEP 5 cm H 2 O. CONCLUSIONS: Digital chest x-ray done at the bedside in acute lung injury/ARDS subjects was able to detect a reduction in density between PEEP 5 cm H 2 O and PEEP 15 cm H 2 O, which correlated with V rec .

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“…For the manual BML proportion evaluation, the DESS or IW-TSE sequences are opened using the DICOM compliant software DICOMWORKS [33] where the image contrast is set for BML reading, then exported in TIFF format and opened in image processing software (Adobe Photoshop, San-Jose, CA). Each edema and cyst is delineated separately in a specific colour channel using selection tools.…”

Section: Manual Segmentationmentioning

confidence: 99%

A fully automated system for quantification of knee bone marrow lesions using MRI and the osteoarthritis initiative cohort

Dodin¹,

Abram²,

Pelletier³

et al. 2012

JBGC

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Background/Objective: Bone marrow lesions (BMLs) have been associated with pain and cartilage degeneration in patients with knee osteoarthritis; their specific detection and quantification is therefore of primary importance. This study aimed at developing a fully automated quantitative BML assessment technology for human knee osteoarthritis using magnetic resonance images (MRI) and two sequences, a T1/T2*-weighted gradient echo (DESS) and a water-sensitive intermediate-weighted turbo spin echo (IW-TSE). Methods:The automated BML quantification first characterizes the bone and cartilage domains in the DESS sequence using our already published automated technology, then proceeds to the BML quantification which was developed as a four-stage process: selection of structured bright areas corresponding to BMLs, geometric filtering of unrelated structures, segmentation of the BML, and quantification of BML proportion within bone regions. For the IW-TSE sequence, the first step consists of the transfer of the bone and cartilage objects from the DESS to the IW-TSE images, followed by the BML detection and quantification as for the DESS. Validation was performed on 154 OA patients from a subset of the Osteoarthritis Initiative (OAI) cohort (public data sets) in which BML manual segmentation intra-and inter-reader reliability was done for each sequence (DESS and IW-TSE) using the intraclass correlation (ICC). BML comparison between the newly developed automated method with a manual segmentation was performed with ICC for the proportion of BML and Dice similarity coefficient (DSC) for BML localization and geometric extent. Finally, comparisons between the DESS and the IW-TSE sequences were performed for BML incidence and proportion.Results: Excellent to very good correlations were obtained for both MRI sequences for intra-and inter-reader reliability of the manual BML segmentation. Comparison between the developed automated method and the manual BML segmentation showed excellent to very good correlations in the global knee and regions (ICC=0.99 to 0.68 for DESS and 0.99 to 0.77 for IW-TSE sequences) as well as very good to good similarity for the BML geometrical agreement (DESS, 0.60 to 0.41; IW-TSE, 0.59 to 0.41). Data revealed greater BML incidence at the sites of high articular constraints: lateral femoropatellar and medial tibiofemoral articulation. Average BML proportion revealed a scaling factor of about 4.5-fold more for the IW-TSE compared to the DESS. www.sciedu.ca/jbgc Journal of Biomedical Graphics and Computing, 2013, Vol. 3, No. 1 ISSN 1925-4008 E-ISSN 1925 52 Conclusions: The newly developed fully automated MRI based BML assessment technology not only detects the absence/ presence of these pathological signals in the osteoarthritic human knee, but also provides accurate quantitative assessment of BMLs in the global knee and knee regions. Such automated system will enable large scale studies to be conducted within shorter durations, as well as increase stability of the reading.

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DicomWorks: Software for Reviewing DICOM Studies and Promoting Low-cost Teleradiology

Cited by 35 publications

References 12 publications

Monitoring Serial Change in the Lumen and Outer Wall of Vertebrobasilar Aneurysms

Monitoring Serial Change in the Lumen and Outer Wall of Vertebrobasilar Aneurysms

Evaluation of Recruited Lung Volume at Inspiratory Plateau Pressure With PEEP Using Bedside Digital Chest X-ray in Patients With Acute Lung Injury/ARDS

A fully automated system for quantification of knee bone marrow lesions using MRI and the osteoarthritis initiative cohort

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