Advanced Algorithmic Approaches to Medical Image Segmentation: State-of-the-Art Applications in Cardiology, Neurology, Mammography and Pathology

S. Kamaledin Setarehdan, Sameer Singh

Springer Science & Business Media, Dec 11, 2001 - Computers - 636 pages

Medical imaging is an important topic which is generally recognised as key to better diagnosis and patient care. It has experienced an explosive growth over the last few years due to imaging modalities such as X-rays, computed tomography (CT), magnetic resonance (MR) imaging, and ultrasound.
This book focuses primarily on state-of-the-art model-based segmentation techniques which are applied to cardiac, brain, breast and microscopic cancer cell imaging. It includes contributions from authors based in both industry and academia and presents a host of new material including algorithms for:
- brain segmentation applied to MR;
- neuro-application using MR;
- parametric and geometric deformable models for brain segmentation;
- left ventricle segmentation and analysis using least squares and constrained least squares models for cardiac X-rays;
- left ventricle analysis in echocardioangiograms;
- breast lesion detection in digital mammograms;
detection of cells in cell images.
As an overview of the latest techniques, this book will be of particular interest to students and researchers in medical engineering, image processing, computer graphics, mathematical modelling and data analysis. It will also be of interest to researchers in the fields of mammography, cardiology, pathology and neurology.

Contents

• II: 1
• III: 2
• IV: 3
• V: 8
• VII: 11
• VIII: 12
• IX: 13
• XI: 16
• XII: 17
• XIII: 21
• XIV: 36
• XV: 37
• XVI: 46
• XVII: 47
• XX: 49
• XXI: 50
• XXII: 51
• XXIII: 52
• XXIV: 54
• XXV: 56
• XXVI: 58
• XXVIII: 59
• XXX: 61
• XXXI: 62
• XXXII: 64
• XXXIV: 66
• XXXV: 67
• XXXVI: 70
• XXXVII: 71
• XXXVIII: 72
• XXXIX: 79
• XL: 85
• XLI: 87
• XLII: 89
• XLIII: 100
• XLIV: 107
• XLV: 108
• XLVI: 109
• XLVII: 111
• XLVIII: 113
• XLIX: 117
• L: 120
• LI: 121
• LII: 122
• LIII: 124
• LIV: 125
• LV: 126
• LVI: 128
• LVII: 129
• LIX: 132
• LXI: 135
• LXII: 142
• LXIII: 143
• LXIV: 145
• LXV: 146
• LXVI: 150
• LXVII: 152
• LXVIII: 153
• LXIX: 164
• LXX: 177
• LXXI: 182
• LXXII: 189
• LXXIII: 190
• LXXIV: 192
• LXXV: 193
• LXXVI: 197
• LXXVII: 200
• LXXVIII: 202
• LXXIX: 204
• LXXX: 205
• LXXXII: 208
• LXXXIII: 209
• LXXXVI: 210
• LXXXVII: 212
• LXXXVIII: 213
• LXXXIX: 214
• XC: 215
• XCI: 216
• XCII: 220
• XCIII: 221
• XCIV: 223
• XCV: 224
• XCVI: 225
• XCVII: 226
• XCIX: 227
• C: 233
• CI: 241
• CII: 245
• CIII: 246
• CIV: 248
• CV: 254
• CVI: 259
• CVII: 261
• CVIII: 263
• CIX: 264
• CXI: 265
• CXII: 267
• CXIII: 268
• CXVI: 271
• CXVII: 272
• CXVIII: 280
• CXIX: 282
• CXX: 284
• CXXIII: 285
• CXXIV: 287
• CXXV: 289
• CXXVI: 290
• CXXVIII: 292
• CXXIX: 293
• CXXX: 295
• CXXXI: 296
• CXXXIII: 300
• CXXXIV: 302
• CXXXV: 303
• CXXXVII: 304
• CXXXVIII: 305
• CXXXIX: 309
• CXL: 310
• CXLII: 311
• CXLIII: 312
• CXLIV: 313
• CXLV: 314
• CXLVI: 315
• CXLVII: 316
• CXLIX: 318
• CL: 319
• CLI: 321
• CLII: 323
• CLIII: 325
• CLV: 326
• CLVI: 327
• CLVII: 329
• CLVIII: 330
• CLIX: 332
• CLX: 333
• CLXII: 334
• CLXIII: 336
• CLXIV: 338
• CLXV: 339
• CLXVI: 340
• CLXVII: 343
• CLXVIII: 345
• CLXIX: 349
• CLXX: 354
• CLXXI: 355
• CLXXII: 357
• CLXXIII: 358
• CLXXIV: 359
• CLXXV: 360
• CLXXVIII: 364
• CLXXIX: 367
• CLXXX: 370
• CLXXXI: 373
• CLXXXII: 376
• CLXXXIII: 379
• CLXXXIV: 382
• CLXXXV: 384
• CLXXXVII: 385
• CLXXXVIII: 386
• CLXXXIX: 389
• CXC: 392
• CXCI: 393
• CXCII: 394
• CXCIV: 395
• CXCV: 396
• CXCVI: 397
• CXCVII: 410
• CXCIX: 412
• CC: 413
• CCI: 414
• CCIV: 416
• CCVI: 418
• CCVII: 419
• CCVIII: 420
• CCIX: 421
• CCXI: 423
• CCXII: 425
• CCXIV: 427
• CCXVI: 428
• CCXVII: 429
• CCXVIII: 430
• CCXX: 432
• CCXXI: 436
• CCXXII: 437
• CCXXIII: 438
• CCXXIV: 439
• CCXXV: 444
• CCXXVI: 449
• CCXXVII: 453
• CCXXVIII: 454
• CCXXIX: 455
• CCXXX: 457
• CCXXXI: 463
• CCXXXII: 468
• CCXXXIII: 470
• CCXXXIV: 473
• CCXXXV: 475
• CCXXXVI: 480
• CCXXXVII: 482
• CCXXXVIII: 495
• CCXXXIX: 499
• CCXL: 501
• CCXLI: 505
• CCXLII: 507
• CCXLIII: 510
• CCXLIV: 511
• CCXLV: 516
• CCXLVI: 527
• CCXLVII: 532
• CCL: 533
• CCLII: 534
• CCLIV: 535
• CCLV: 537
• CCLVI: 538
• CCLVII: 539
• CCLX: 540
• CCLXI: 541
• CCLXII: 542
• CCLXIII: 543
• CCLXIV: 544
• CCLXV: 546
• CCLXVI: 549
• CCLXVII: 550
• CCLXVIII: 552
• CCLXIX: 554
• CCLXX: 555
• CCLXXI: 557
• CCLXXIV: 559
• CCLXXV: 560
• CCLXXVI: 567
• CCLXXVII: 569
• CCLXXVIII: 571
• CCLXXIX: 647

Popular passages

Page 630 - Mixture densities, maximum likelihood and the EM algorithm,‎

Page 629 - On the foundations of relaxation labeling processes. IEEE Trans, on Pattern Analysis and Machine Intelligence, PAMI-5(3):267-287, May 1983.‎

Page 647 - Fisel CR, Ackerman JL, Buxton RB, et al. MR contrast due to microscopically heterogeneous magnetic susceptibility: numerical simulations and applications to cerebral physiology. Magn Reson Med 1991:17:336-347.‎

Bibliographic information

• Title: Advanced Algorithmic Approaches to Medical Image Segmentation: State-of-the-Art Applications in Cardiology, Neurology, Mammography and Pathology; Advances in Computer Vision and Pattern Recognition
• Editors: S. Kamaledin Setarehdan, Sameer Singh
• Edition: illustrated
• Publisher: Springer Science & Business Media, 2001
• ISBN: 1852333898, 9781852333898
• Length: 636 pages
• Subjects: Computers / Computer Graphics; Computers / Computer Vision & Pattern Recognition; Computers / Optical Data Processing; Computers / Software Development & Engineering / General; Medical / Cardiology; Medical / General; Medical / Instruments & Supplies; Medical / Pathology