Introduction to the ACR-NEMA DICOM standard.

Bidgood, W. Dean; Horii, Steven C.

doi:10.1148/radiographics.12.2.1561424

Cited by 174 publications

(68 citation statements)

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“…We obtained 450 to 550 scans for each patient from the level of the fourth lumbar vertebra proximally to the entire distal femoral condyles. The information was stored and transferred in the standard Digital Imaging and Communications in Medicine (DICOM) format to the measurement systems [3,4]. The CT scans were measured using two CT measurement systems to validate the CT measurements.…”

Section: Methodsmentioning

confidence: 99%

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Combined Anteversion Technique for Total Hip Arthroplasty

Dorr

Malik

Dastane

et al. 2009

Clinical Orthopaedics &Amp; Related Research

390

354

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Combined cup and stem anteversion in THA based on femoral anteversion has been suggested as a method to compensate for abnormal femoral anteversion. We investigated the combined anteversion technique using computer navigation. In 47 THAs, the surgeon first estimated the femoral broach anteversion and validated the position by computer navigation. The broach was then measured with navigation. The navigation screen was blocked while the surgeon estimated the anteversion of the broach. This provided two estimates of stem anteversion. The navigated stem anteversion was validated by postoperative CT scans. All cups were implanted using navigation alone. We determined precision (the reproducibility) and bias (how close the average test number is to the true value) of the stem position. Comparing the surgeon estimate to navigation anteversion, the precision of the surgeon was 16.8°and bias was 0.2°; comparing the navigation of the stem to postoperative CT anteversion, the precision was 4.8°and bias was 0.2°, meaning navigation is accurate. Combined anteversion by postoperative CT scan was 37.6°± 7°(standard deviation) (range, 19°-50°). The combined anteversion with computer navigation was within the safe zone of 25°to 50°for 45 of 47 (96%) hips. Femoral stem anteversion had a wide variability.

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Section: Methodsmentioning

confidence: 99%

“…A virtual 3-D model of the patient's pelvis, as well as the implanted cup and femur, were reconstructed using the DICOM files [3,4]. The anterosuperior iliac spines and pubic tubercle midpoint were used to establish an anatomic coordinate reference system for the cup.…”

Section: Methodsmentioning

confidence: 99%

Combined Anteversion Technique for Total Hip Arthroplasty

Dorr

Malik

Dastane

et al. 2009

Clinical Orthopaedics &Amp; Related Research

390

354

View full text Add to dashboard Cite

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“…Existing image file reader and writer plug-ins provided with the LONI Debabeler (Neu et al, 2005) were used to decode and encode image file formats, to translate between file formats, and to anonymize and correct metadata in the header fields. The plug-ins support all of the common medical imaging file formats, including ANALYZE 1 (Robb et al, 1989), NIFTI 2 , Minc 3 , and DICOM 4 (Bidgood and Horii, 1992;Bidgood et al, 1997 Zhuang, D.J. Valentino, and A.W.…”

Section: Methodsmentioning

confidence: 99%

Skull-stripping magnetic resonance brain images using a model-based level set

2006

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The segmentation of brain tissue from nonbrain tissue in magnetic resonance (MR) images, commonly referred to as skull-stripping, is an important image processing step in many neuroimaging studies. A new mathematical algorithm, a model-based level set (MLS), was developed for controlling the evolution of the zero level curve that is implicitly embedded in the level set function. The evolution of the curve was controlled using two terms in the level set equation, whose values represented the forces that determined the speed of the evolving curve. The first force was derived from the mean curvature of the curve, and the second was designed to model the intensity characteristics of the cortex in MR images. The combination of these forces in a level set framework pushed or pulled the curve toward the brain surface. Quantitative evaluation of the MLS algorithm was performed by comparing the results of the MLS algorithm to those obtained using expert segmentation in 29 sets of pediatric brain MR images and 20 sets of young adult MR images. Another 48 sets of elderly adult MR images were used for qualitatively evaluating the algorithm. The MLS algorithm was also compared to two existing methods, the brain extraction tool (BET) and the brain surface extractor (BSE), using the data from the Internet brain segmentation repository (IBSR). The MLS algorithm provides robust skull-stripping results, making it a promising tool for use in large, multi-institutional, population-based neuroimaging studies.

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“…Due to technological innovations, Digital Imaging and Communications in Medicine (DICOM) imaging studies can be distributed throughout the health care enterprise, enabling referring physicians to access imaging data whenever it is most valuable and pertinent to them [1]. Distribution beyond the health care enterprise has led to outsourcing of radiological interpretation to "nighthawk" parties.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Referring Physician’s Clinical History and Indication as a Means for Communicating Chronic Conditions That Are Pertinent at the Point of Radiologic Interpretation

et al. 2014

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The clinical history and indication (CHI) provided with a radiological examination are critical components of a quality interpretation by the radiologist. A patient's chronic conditions offer the context in which acute symptoms and findings can be interpreted more accurately. Seven pertinent (potentially diagnosis altering) chronic conditions, which are fairly prevalent at our institution, were selected. We analyze if and how in 140 CHIs there was mention of a patient's previously reported chronic condition and if and how the condition was subsequently described in the radiology report using a four-item scheme (Mention/Specialization, Generalization, Common comorbidity, No mention). In 40.7 % of CHIs, the condition was rated Mention/Specialization. Therefore, we reject our first hypothesis that the CHI is a reliable source for obtaining pertinent chronic conditions (≥90.0 %). Nononcological conditions were significantly more likely rated No mention in the CHI than oncological conditions (58.7 versus 8.3 %, P<0.0001). Stat cases were significantly more frequently No mention than non-stat cases (60.0 versus 31.3 %, P=0.0134). We accept our second hypothesis that the condition's rating in the CHI is significantly correlated with its rating of the final radiology report (χ 2 test, P<0.00001). Our study demonstrates an alarming lack of communication of pertinent medical information to the radiologist, which may negatively impact interpretation quality.Presenting automatically aggregated patient information to the radiologist may be a potential avenue for improving interpretation and adding value of the radiology department to the care chain.

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Introduction to the ACR-NEMA DICOM standard.

Cited by 174 publications

References 0 publications

Combined Anteversion Technique for Total Hip Arthroplasty

Combined Anteversion Technique for Total Hip Arthroplasty

Skull-stripping magnetic resonance brain images using a model-based level set

Evaluating the Referring Physician’s Clinical History and Indication as a Means for Communicating Chronic Conditions That Are Pertinent at the Point of Radiologic Interpretation

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