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Region of interest

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122: 244: 25: 360:, regions of interest (ROIs) hierarchically encompass pages, text or graphical blocks, down to individual line-strip images, word and character image boxes. The de facto standard in archives and libraries is the tuplet {image_file, xml_file}, usually in the form of a *.tif file and its accompanying *.xml file. 149:, the boundaries of a tumor may be defined on an image or in a volume, for the purpose of measuring its size. The endocardial border may be defined on an image, perhaps during different phases of the cardiac cycle, for example, end-systole and end-diastole, for the purpose of assessing cardiac function. In 278:
Structured data may be encoded in a separate object as a structured report in the form of a tree of name-value pairs of coded or text concepts possibly associated with derived quantitative information can reference spatial and/or temporal coordinates that in turn reference the image objects to which
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encoded in a segmentation object as either binary or probabilistic values in a raster (which is not required to have the same spatial sampling or extent as the images from which the segmentation was derived); these are usually referenced by other objects containing structured content (structured
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Structured data may be encoded in a separate object as a structured report in the form of a tree of name-value pairs of coded or text concepts possibly associated with derived quantitative information can reference temporal coordinates that in turn reference the waveform objects to which they
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Contours of objects may be defined as structure sets, either as pixel coordinates by reference to specific images or as coordinates in a named patient-relative 3D Cartesian space (these are also used for non-RT
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Unstructured vector graphics and text as well as bitmap (rasterized) overlay graphics may be encoded in a separate object as a presentation state that references the image object to which it is to be applied
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in the form of spatial coordinates with an associated coded purpose, either as pixel coordinates by reference to specific images or as coordinates in a named patient-relative 3D Cartesian space
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As an integral part of the sample data set, with a unique or masking value that may or may not be outside the normal range of normally occurring values and which tags individual data cells
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also has a subset of mechanisms similar to (and intended to be compatible with) DICOM for referencing image-related spatial coordinates as observations; it allows for a circle, ellipse,
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or point to be defined as integer pixel-relative coordinates referencing an external multi-media image object, which may be of a consumer rather than medical image format (e.g., a
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of an object under consideration. In many applications, symbolic (textual) labels are added to a ROI, to describe its content in a compact manner. Within a ROI may lie individual
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The left image shows an original mammogram before MED-SEG processing. The image on the right, with region of interest (white) labeled, shows a mammogram after MED-SEG processing.
205:, often associated with categorical or quantitative information (e.g., measurements like volume or mean intensity), expressed as text or in a structured form. 145:
identified for a particular purpose. The concept of a ROI is commonly used in many application areas. Existing as a vicinity, or within one. For example, in
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Annotations may be encoded in a separate attribute can select multiple time points or a range of time points, either by sample number or specified time
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As separate, purely graphic information, such as with vector or bitmap (rasterized) drawing elements, perhaps with some accompanying plain
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Bitmap (rasterized) overlay graphics and text may be present in unused high bits of the pixel data or in a separate attribute (deprecated)
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specifically provide mechanisms to label and/or compress to a different degree of fidelity, what they refer to as regions of interest.
108: 89: 150: 61: 325: 46: 353: 158: 68: 384:) drawing file formats that are widely available, and which carry no specific ROI semantics, some standards such as 75: 35: 337: 444: 377: 357: 57: 368:
As far as non-medical standards are concerned, in addition to the purely graphic markup languages (such as
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4D dataset: the outline of an object at or during a particular time interval in a time-volume
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Vector graphics may be encoded in separate image attributes as curves (deprecated)
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provide general and application-specific mechanisms to support various use-cases.
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3D dataset: the contours or surfaces outlining an object (sometimes known as the
121: 24: 153:(GIS), a ROI can be taken literally as a polygonal selection from a 2D map. In 369: 227: 202: 385: 329: 223: 142: 263: 252: 242: 120: 208:
There are three fundamentally different means of encoding a ROI:
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Samples within a data set identified for a particular purpose
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value range (e.g., as the maximum white value) (deprecated)
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Burned in values may occur with the waveform (deprecated)
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Pixels (possibly non-contiguous) may be classified into
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Burned in graphics and text may occur within the normal
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1D dataset: a time or frequency interval on a waveform
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2D dataset: the boundaries of an object on an image
49:. Unsourced material may be challenged and removed. 406: 8: 258:For DICOM images (two or more dimensions): 409:The Art and Science of Digital Compositing 109:Learn how and when to remove this message 397: 282:Reference locations may be encoded as 219:text in the format of the data itself 7: 47:adding citations to reliable sources 251:Medical imaging standards such as 14: 125:The region of interest for which 307:For DICOM time-based waveforms: 151:geographical information systems 23: 175:Examples of regions of interest 34:needs additional citations for 455:Geographic information systems 376:) and vector graphic (such as 326:Clinical Document Architecture 1: 450:Optical character recognition 354:Optical Character Recognition 159:optical character recognition 413:. Morgan Kaufmann. pp.  234:and/or temporal coordinates 226:information (such as coded 471: 348:Document analysis systems 222:As a separate structured 358:Document Layout Analysis 298:For DICOM radiotherapy: 141:) is a sample within a 405:Ron Brinkmann (1999). 248: 161:, the ROI defines the 130: 364:Other 2D applications 246: 124: 129:gives a lower bound. 58:"Region of interest" 43:improve this article 201:A ROI is a form of 137:(often abbreviated 127:Markov's inequality 380:) and 3D (such as 249: 188:Volume of Interest 168:points of interest 135:region of interest 131: 424:978-0-12-133960-9 119: 118: 111: 93: 462: 429: 428: 412: 402: 230:) with a set of 114: 107: 103: 100: 94: 92: 51: 27: 19: 470: 469: 465: 464: 463: 461: 460: 459: 445:Medical imaging 435: 434: 433: 432: 425: 404: 403: 399: 394: 366: 350: 241: 239:Medical imaging 177: 155:computer vision 147:medical imaging 115: 104: 98: 95: 52: 50: 40: 28: 17: 12: 11: 5: 468: 466: 458: 457: 452: 447: 437: 436: 431: 430: 423: 396: 395: 393: 390: 365: 362: 349: 346: 320: 319: 315: 312: 305: 304: 296: 295: 287: 280: 276: 273: 270: 267: 240: 237: 236: 235: 220: 217:(unstructured) 213: 199: 198: 195: 194:)) in a volume 184: 181: 176: 173: 117: 116: 99:September 2012 31: 29: 22: 15: 13: 10: 9: 6: 4: 3: 2: 467: 456: 453: 451: 448: 446: 443: 442: 440: 426: 420: 416: 411: 410: 401: 398: 391: 389: 387: 383: 379: 375: 371: 363: 361: 359: 355: 347: 345: 343: 339: 335: 331: 327: 324: 316: 313: 310: 309: 308: 303:applications) 301: 300: 299: 292: 288: 285: 281: 277: 274: 271: 268: 265: 261: 260: 259: 256: 254: 245: 238: 233: 229: 225: 221: 218: 214: 211: 210: 209: 206: 204: 196: 193: 189: 185: 182: 179: 178: 174: 172: 170: 169: 164: 160: 156: 152: 148: 144: 140: 136: 128: 123: 113: 110: 102: 91: 88: 84: 81: 77: 74: 70: 67: 63: 60: –  59: 55: 54:Find sources: 48: 44: 38: 37: 32:This article 30: 26: 21: 20: 408: 400: 367: 351: 321: 306: 297: 257: 250: 207: 200: 191: 187: 166: 138: 134: 132: 105: 96: 86: 79: 72: 65: 53: 41:Please help 36:verification 33: 228:value types 439:Categories 392:References 370:PostScript 356:(OCR) and 279:they apply 203:Annotation 69:newspapers 386:JPEG 2000 284:fiducials 330:polyline 294:reports) 291:segments 224:semantic 171:(POIs). 143:data set 232:spatial 163:borders 83:scholar 421:  85:  78:  71:  64:  56:  318:apply 264:pixel 253:DICOM 90:JSTOR 76:books 419:ISBN 382:VRML 342:JPEG 157:and 62:news 415:184 378:SVG 374:PDF 372:or 352:In 344:). 340:or 338:PNG 334:GIF 323:HL7 192:VOI 139:ROI 45:by 441:: 417:. 336:, 133:A 427:. 190:( 112:) 106:( 101:) 97:( 87:· 80:· 73:· 66:· 39:.

Index


verification
improve this article
adding citations to reliable sources
"Region of interest"
news
newspapers
books
scholar
JSTOR
Learn how and when to remove this message

Markov's inequality
data set
medical imaging
geographical information systems
computer vision
optical character recognition
borders
points of interest
Annotation
(unstructured)
semantic
value types
spatial

DICOM
pixel
fiducials
segments

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