Multiple Hidden Markov Model for Pathological Vessel Segmentation

<div>The comparison results on two randomly selected synthetic vascular trees, with the presence of two levels of Gaussian noises <svg height="15.535pt" id="M279" style="vertical-align:-3.9436pt" version="1.1" viewbox="-0.0498162 -11.5914 54.1609 15.535" width="54.1609pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M548 455L523 469C505 448 490 439 461 439C416 439 374 447 316 447C144 447 23 310 23 161C23 47 89 -12 179 -12C312 -12 429 106 429 244C429 303 419 344 368 386L371 388C404 383 440 378 474 378C507 378 530 411 548 455ZM350 274C350 191 308 25 198 25C144 25 108 75 108 157C108 264 170 395 276 395C296 395 320 384 333 360C347 334 350 316 350 274Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,7.347,-5.741)"><path d="M414 144C384 79 371 75 317 75H135L276 221C367 316 408 376 408 465C408 570 327 635 237 635C179 635 131 609 100 575L42 494L67 471C94 510 138 565 205 565C277 565 321 517 321 435C321 348 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The first column, the second column, and the third column show Cetin’s segmentations, Schaap’s segmentations, and the segmentations of our method, respectively. The overlapping voxels between one of the three computational methods and the corresponding ground truth are shown in gray, while the voxels detected by the computational methods but do not belong to the ground truth are shown in red.</div>

BioMed Research International

Multiple Hidden Markov Model for Pathological Vessel Segmentation

Figure 7