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Digital Imaging and Communications in Medicine (DICOM)

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6.1 <strong>DICOM</strong> BMPs 89<br />

sion than with chas<strong>in</strong>g lonely <strong>in</strong>terpixel bits. Nevertheless, “bit-squeez<strong>in</strong>g” techniques<br />

are still st<strong>and</strong>ard <strong>in</strong> <strong>DICOM</strong>, <strong>and</strong> can be found <strong>in</strong> many applications <strong>and</strong><br />

data, especially if you deal with an older <strong>DICOM</strong> unit. Appendix D <strong>in</strong> <strong>DICOM</strong><br />

PS3.5 of the st<strong>and</strong>ard expla<strong>in</strong>s other possible sample encod<strong>in</strong>g schemes.<br />

If you can deal with the various ways of record<strong>in</strong>g image pixels (samples),<br />

you know how to read <strong>and</strong> write <strong>DICOM</strong> BMPs. As we have mentioned,<br />

<strong>DICOM</strong> treats image <strong>in</strong>formation like anyth<strong>in</strong>g else <strong>and</strong> all important image<br />

attributes are translated <strong>in</strong>to <strong>DICOM</strong> VRs stored <strong>in</strong> <strong>DICOM</strong> objects. These attributes<br />

must be present <strong>in</strong> any image-conta<strong>in</strong><strong>in</strong>g <strong>DICOM</strong> object. In <strong>DICOM</strong><br />

parlance, these attributes are required. Table 18 provides a more detailed snapshot<br />

of some important image attributes, taken from the <strong>DICOM</strong> Data Dictionary.<br />

This is but a small fraction of all <strong>DICOM</strong> pixel-related tags, but if you<br />

have any experience work<strong>in</strong>g with other image formats, you should appreciate<br />

the completeness of <strong>DICOM</strong>. For example, as (0028,0008) suggests, you can<br />

store a sequence of frames (essentially, a digital video) <strong>in</strong> a simple <strong>DICOM</strong><br />

image. You can specify the physical dimensions of pixels <strong>in</strong> (0028,0030), which<br />

allows you to measure the image objects <strong>in</strong> their physical units, such as millimeters.<br />

Know<strong>in</strong>g pixel spac<strong>in</strong>g <strong>and</strong> spac<strong>in</strong>g between the images (stored <strong>in</strong><br />

(0018,0088) <strong>and</strong> used with all image series such as MR or CT) allows for the<br />

most elaborate 3D reconstructions, because we can preserve the correct sizes of<br />

the objects. We could go on with this list almost <strong>in</strong>def<strong>in</strong>itely, but let’s stop here<br />

<strong>and</strong> conclude.<br />

Table 18 Important image attributes <strong>in</strong> <strong>DICOM</strong> Data Dictionary<br />

Tag Name VR VM<br />

(0028,0002) Samples per Pixel US 1<br />

(0028,0004) Photometric Interpretation CS 1<br />

(0028,0008) Number of Frames IS 1<br />

(0028,0010) Rows US 1<br />

(0028,0011) Columns US 1<br />

(0028,0030) Pixel Spac<strong>in</strong>g DS 2<br />

(0028,0100) Bits Allocated B a US 1<br />

(0028,0101) Bits Stored B s US 1<br />

(0028,0102) High Bit B h US 1<br />

(0028,0103) Pixel Representation US 1<br />

(7FE0,0010) Pixel Data OW/OB 1

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