1300 North 17th Street, Suite 900 Arlington, VA 22209, USA +1-703-475-9217 http://dicom.nema.org E-mail: [email protected] MINUTES-tcon DICOM WORKING GROUP 21 (Computed Tomography) Date and Time: Dec. 19, 2013 Members Present: Represented by: AAPM /MD Anderson Siemens Healthcare Toshiba Medical Systems Philips Healthcare Dianna Cody For Shuai Leng Reinhard Ruf Kevin O’Donnell Shlomo Gotman Members Absent: Represented by: Pixelmed Publising GE Healthcare David Clunie Balaji Raman (PT) Alternate Voting Representatives, Observers, and Others Present: Ami Altman Don Peck Stephen Vastagh Zhou Yu Philips Healthcare AAPM / H Ford Health MITA, Secretariat Toshiba Medical Systems Presiding Officers Reinhard Ruf, Chair 1. Opening DICOM WG-21, 2013-12-19 Page 1 of 4 The meeting was called to order at 12.00 USA Eastern time. The Agenda was approved. The Secretary reviewed the antitrust rules. The approval of the minutes of the last t-con were tabled in the interest of time. The purpose of the t-con was to discuss image definitions for the new Multi-Energy Draft Supplement to the DICOM Standard to assure consistent and unambiguous interpretation of the standard. 2. Image Definitions The following initial terms were discussed definitions were discussed: Material-Base Material-Only Material-Free The questions posed before the meeting are shown in Exhibit A. After a technical discussion it was decided to revise as follows: Material-Base (there was still an open issue about the usefulness) Material-Enhanced (also mentioned were material specific and target material)(not HU) Material-Supressed (HU – Hounsfield Unit)) The discussion included the topics and decisions listed below: there is a need to emphasize lack of purity of the definitions, i.e. that more than 2 bases may be used. no “poly-enhanced” or “poly-suppressed” meanings, at this time all three images are “derived” images there is a need to describe the methods used to create the enhanced and suppressed iamges in a generic way presentation units o HU for single material o HU is not appropriate for material-base HU is for original images Use of a new IOD is still an open issue, there are advantages and disadvantaes to using current IOD (systems will either accept or choke) The basic question is how to differentiate between material-base and the other images 3. Next steps DICOM WG-21, 2013-12-19 Page 2 of 4 Homework: by Dec. 30, 2013 S. Gotman will draft and distribute initial draft definitions for the above three images and for monochromatic and atomic number images as well. 4. New Business None 5. Next Meetings and Tcons Tcon: Wednesday, 2014-02-05, 10.45-11.45 USA Eastern Time 6. Adjournment The meeting was adjourned at 13.00 Reported by Stephen Vastagh, Secretary Reviewed by legal counsel: CRS 2013-12-20 EXHIBIT A 1) “Material-Base” – one primary material with contributions from other materials One of the outcomes of spectral\dual energy CT is a series of material-specific images. Materialspecific images can be presented either in terms of their partial density (concentration) in each Voxel in units of mg/cc (may be using a stretched 12-bit scale), or in terms of HU since theoretically the attenuation coefficient (HU) is linear with the density. Although the material decomposition into the two base materials is always correct if only these two base materials are scanned, the equivalent base material concentrations for other materials depends to some extend (% level) on the attenuation curve of the material. 2) “Material-Only” – a derived image where the intention is to have only this material present in the pixels How to differentiate between a “Materiel-Base” image (that may include contributions of other materials) and Material-Only image? For Material-Only image – are we putting concentration into the pixels, or HU-based attenuation? How shall we name them? So one question is how to tag these two alternatives, or how to differentiate them? And should we call it Material-Only (e.g. Iodine-Only image), or Material-Map image (e.g. Iodine-Map image) Note that this is very different from two-material base presentation where the Iodine-base image includes also most of the Calcium in the image (since Alvarez-Macovski projection-based decomposition, as well as 2-material-based decomposition in the image domain cannot distinguish out a third material). Then, the question is how to tag the second-material base images (which are not single material quantification). DICOM WG-21, 2013-12-19 Page 3 of 4 3) “Material-Free” – a derived image where the intention is remove one (or more?) material from the image A complementary question is how to call and tag the Material-free images (material free image is like the term “Caffeine-Free” coffee, which means “everything in, except Caffeine). A good example for that are Virtual-Non-Contrast (VNC) images that are derived from the images with contrast-injection, by using the dual-energy analysis to remove all or most of the Iodine contrast from the image, emulating a non-contrast-injection scan (saving scan dose and time). So VNC images should contain all the materials and tissues in the body, except the injected Iodine. Another example, are Calcium-Free images to enable seeing only the blood-vessels lumen from CT Angiography. In clinical cases the question is often: which soft tissue density would be seen if a foreign material was not there. So the other materials are removed but the soft, tissue density is corrected for the space that was occupied by the other material. However, standard material decomposition would show a decrease in the soft tissue density if there is more of the other base material. How can these cases be distinguished? Are there other similar cases? The most interesting base material decomposition is for iodine and water. But iodine cannot be produced with variable density and the attenuation of pure iodine. Iodine is too high to be measured reliably (partial volume effects, scattered radiation, etc.). How can iodine base material images be evaluated in a simple way (reproducibility)? For some materials (especially contrast agents) the density of the main atom (iodine) is known, but the exact chemical composition may be unknown (though reproducible). The resulting density image would show the iodine density under the assumption that the iodine is contained in the contrast agent and diluted e.g. in water. How can this case be clearly defined? The same applies for all other base material with high (effective) atomic number. Seems like it can be (or will be) diluted to some degree, this is not a significant issue – is this correct? How can an unambiguous and reproducible definition/decomposition look like? Are there other procedures possible to standardize such decomposition? DICOM WG-21, 2013-12-19 Page 4 of 4
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