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Digital Imaging and Communications in Medicine (DICOM)

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72<br />

Chapter 5 Parlez-Vous <strong>DICOM</strong>?<br />

fers any merge function for series. So the only way of deal<strong>in</strong>g with this problem<br />

is to fix it where it happens: on the modality unit.<br />

Another typical but less problematic dilemma arises from the uniqueness of<br />

the Series, Study, or Image (SOP) UID. The letter U <strong>in</strong> UID st<strong>and</strong>s for “Unique”<br />

(Identifier), imply<strong>in</strong>g that identifier values must be globally unique. If anyth<strong>in</strong>g<br />

ever changes <strong>in</strong> an image (for example, we crop/rotate it, or we compress it with<br />

lossy compression), then the image is not the same anymore, even if all cl<strong>in</strong>ically<br />

important <strong>in</strong>formation rema<strong>in</strong>s the same. Consequently, the Image (SOP)<br />

UID for this modified image needs to be changed (see 5.5.8). Do not be surprised<br />

if you see two image series that look exactly the same, but are still stored<br />

separately on your imag<strong>in</strong>g archive; there could be a reason.<br />

It is good to have Study, Series, <strong>and</strong> Image IDs generated automatically on<br />

a modality, but what if this does not happen? The most typical example <strong>in</strong>volves<br />

secondary capture (SC) <strong>DICOM</strong> images, such as scanned (digitized)<br />

films. When you digitize films or import non-<strong>DICOM</strong> images <strong>in</strong>to <strong>DICOM</strong><br />

format, the relationship between several films or images are known only to you,<br />

<strong>and</strong> def<strong>in</strong>itely not to your digitizer. Do the images belong to the same patient,<br />

study, or series? Your <strong>DICOM</strong> digitizer should provide sufficient functionality<br />

for assign<strong>in</strong>g Study, Series, <strong>and</strong> Image UIDs manually to record the orig<strong>in</strong>al<br />

image relationships <strong>in</strong> the digitized <strong>DICOM</strong> data. Unfortunately, not all SC devices<br />

treat this requirement seriously. If you are plann<strong>in</strong>g on buy<strong>in</strong>g one, please<br />

verify that it has ample support for enter<strong>in</strong>g <strong>DICOM</strong> data <strong>and</strong> for assign<strong>in</strong>g the<br />

images to the same Patient, Study, or Series groups.<br />

5.6.3<br />

Hierarchical <strong>and</strong> Relational Data<br />

To wrap up this discussion on the <strong>DICOM</strong> Patient-Study-Series-Image <strong>in</strong>formation<br />

model, let us just briefly mention that it represents a central part of a<br />

more complex <strong>DICOM</strong> model of the real world. This model can be found <strong>in</strong><br />

the st<strong>and</strong>ard (section 7 <strong>in</strong> PS3.3) add<strong>in</strong>g more items to the basic Patient-Study-<br />

Series-Image hierarchy without chang<strong>in</strong>g its essence. Virtually all <strong>DICOM</strong> devices<br />

function on the Patient-Study-Series-Image steps, perform<strong>in</strong>g hierarchical<br />

data searches, retrievals, <strong>and</strong> transactions.<br />

To identify a series, you will need first to f<strong>in</strong>d the patient, <strong>and</strong> the study<br />

this series belongs to. This logic is clearly reflected <strong>in</strong> all <strong>DICOM</strong> <strong>in</strong>terfaces.<br />

They always start brows<strong>in</strong>g their data from the top, from the highest Patient<br />

(sometimes Study) level, then gradually descend<strong>in</strong>g to Series <strong>and</strong> Images.<br />

Moreover, hierarchical <strong>DICOM</strong> queries <strong>and</strong> data retrievals will fail on any of<br />

the four Patient-Study-Series-Image levels if the <strong>in</strong>formation about the higher<br />

level IDs is not known. For example, a hierarchical search for a particular series<br />

will fail if its Study <strong>and</strong> Patient IDs are not known beforeh<strong>and</strong>.<br />

The only <strong>DICOM</strong> alternative to hierarchical data process<strong>in</strong>g is known as<br />

relational data process<strong>in</strong>g (Fig. 16). Unlike hierarchical data process<strong>in</strong>g, rela-

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