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The Power of Mobile Devices and Patient Engagement
Published in Jan Oldenburg, Dave Chase, Kate T. Christensen, Brad Tritle, Engage!, 2020
Mobile devices can access medical images, such as magnetic resonance imaging (MRI) scans, mammography data, x-ray, and computed tomography (CT) data, and process the image by featuring the capability for the provider to pan, tilt, zoom, measure, and add contrast to the image. Apps can connect to Digital Imaging and Communications in Medicine (DICOM) medical image servers and retrieve these data for the provider to assess and/or share information among the care team members and the patient. A recent study by the Radiological Society of North America found a majority of radiologists were able to correctly diagnose appendicitis by accessing Picture Archiving and Communication Systems (PACS) using an iPhone app OsiriX, a medical imaging analysis smartphone application that allows physicians to access records. The study found that in 125 total viewings of pelvic and abdominal x-rays (25 cases examined by 5 radiologists each), an accurate diagnosis was made 124 times.45
Interpreting Radiology
Published in R. Annie Gough, Injury Illustrated, 2020
Some cases require significant radiology review. The radiology report alone is not enough to know where fracture lines lie, to determine degree of fracture fragment displacement, or to match surgical instrumentation and hardware placement. To know the facts, the radiology images are necessary. When the opportunity arises, the client can request the radiology studies at the time of their scan. The hospital can upload a patient's studies as DICOM files on to CD or DVD discs in as little as 10 minutes. As noted, these files can be quite large and read like gobbledygook in folder finder view. They are usually viewed using Windows AutoPlay on a PC. Radiology viewing software is available for the Mac, for free, through OsiriX or Horos. Other viewing programs specific for either the Mac or PC user range in functionality and price, from free to the cost of an SUV. I spend a lot of time reviewing DICOM discs. I was never trained specifically in radiology and keep trusted radiologists as close as possible when I need a second set of eyes to confirm written impressions. It is another reason why I appreciate and enjoy working directly with the medical experts, to review radiology together, and choose exact series and image numbers for exhibits.
Augmented Reality in Image-Guided Robotic Surgery
Published in Terry M. Peters, Cristian A. Linte, Ziv Yaniv, Jacqueline Williams, Mixed and Augmented Reality in Medicine, 2018
Wen Pei Liu, Russell H. Taylor
Beyond mosaics, to reduce the risk of injury to subsurface critical tissue and improve in situ visualization, researchers have explored augmenting the video source with data from medical imaging. Information is often derived from preoperative modalities, as discussed in Section 14.3. Volonte et al. (2013) applied volumes rendered from a standard CT using the OsiriX DICOM workstation. A custom OsiriX plugin was created that permitted the 3D-rendered images to be displayed in the da Vinci surgeon console using the TilePro multi-input display. Displays were controlled by a 3D joystick installed on the console and updated in real time.
Findings in ancient Egyptian mummies from tomb KV64, Valley of the Kings, Luxor, with evidence of a rheumatic disease
Published in Scandinavian Journal of Rheumatology, 2023
LM Öhrström, R Seiler, S Bickel, F Rühli
Both mummies (KV64_001 and KV64_002) were radiologically investigated using portable digital planar X-ray equipment, including an X-ray generator (Examion PX 60 HF, voltage range: 40–100 kV; exposure range: 0.4–100 mAs; weight: 14.6 kg; Examion, Fellbach, Germany), a flat panel detector [Examion DR 1417–600 WL; scintillator, gadolinium oxysulphide; active area: 358 × 430 mm (14 inches × 17 inches); pixel matrix: 3072 × 2560 pixels; pixel pitch: 140 μm; grey scale: 14 bit; weight: 3.1 kg; Examion, Fellbach, Germany], and dedicated postprocessing software (Examion AQS; Examion, Fellbach, Germany) run on a laptop computer (HP Elitebook 840 G3, LT4120 Snapdragon X5 LTE; HP, Palo Alto, CA, USA) with Microsoft Windows 7 Enterprise Edition (Microsoft Corporation, Redmond, WA, USA) as the operating system. For image analyses, DICOM reading software (OsiriX MD v.8.0.1; Pixmeo, Switzerland) and Horos (v3.3.6; www.horosproject.org) were used.
Optimization of radiation settings for angiography using 3D fluoroscopy for imaging of intracranial aneurysms
Published in Computer Assisted Surgery, 2021
Thomas Linsenmann, Alexander März, Vera Dufner, Christian Stetter, Judith Weiland, Thomas Westermaier
We previously found that 3D reconstructions using the OsiriX software were highly superior to non-subtracted contrast-enhanced images. This is true for the depiction of aneurysms before surgery as well as for post-clip control. However, 3D image-reconstruction was not the issue of this present study. One possible reason for this observation might be that subtraction only works if there is an exact overlay of native and contrast-enhanced images. Figure 4(e) shows that this is possible at times. Theoretically, all artifacts should be calculated out of the image so that only the contrast-filling remains. But if there is an only minimal shift between the images for what reason ever, artifacts will not be counted out and digital subtraction is of little use For the purpose of image fusion in tumor surgery or neuromodulation, all modern neuronavigation systems have an automatical adaptation of image overlay for fine-adjustment, for example, using bony structures as a reference [14,15]. However, none of them has a digital subtraction function to subtract the fine-adjusted images in a second step. In contrast, the OsiriX software has a digital subtraction function but unfortunately no automatic adjustment for image overlay. The problem of exact overlay and a further gain of image quality could possibly be solved by the addition of the respective software components.
Detection of perilymphatic fistula in labyrinthine windows by virtual endoscopy and variation of reconstruction thresholds on CT scan
Published in Acta Oto-Laryngologica, 2020
Alexis Bozorg Grayeli, Jean-Loup Bensimon, Maxime Guyon, Serge Aho-Glele, Michel Toupet
In our protocol, the essential point is to obtain a high density-resolution CT-scan instead of a high spatial-resolution image and this can be readily performed as a routine task. Virtual endoscopy is merely meant to evaluate the voxel with the lowest density among many voxels covering a labyrinthine window. By setting a reconstruction threshold (in HU) and looking at the reconstruction of the window, the virtual opening is represented by one or two (black) voxels which fall just beneath the threshold. Instead of virtual endoscopy, one could imagine individually measuring the density of each voxel covering the four windows, but this could be very fastidious and time-consuming. The virtual endoscopy function is now routine, is available on many CT-scanners and it can be performed in a few minutes. It is also available on freewares such as Osirix (www.osirix-viewer.com. . . . . . . ). This examination only requires a preparatory discussion with the corresponding Head-and-Neck radiologist about the protocol.