✦ LIBER ✦

Automatic atlas-based contour extraction of anatomical structures in medical images

✍ Scribed by Matthias Färber; Jan Ehrhardt; Heinz Handels

Book ID: 116537926
Publisher: Elsevier Science
Year: 2005
Tongue: English
Weight: 281 KB
Volume: 1281
Category: Article
ISSN: 0531-5131
DOI: 10.1016/j.ics.2005.03.250

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Automatic Contouring of Vital Swallowing

Automatic Contouring of Vital Swallowing Structures using an Atlas-based Segmentation Method: A Time Saving and Toxicity Assessment

✍ E. Landau; K. Hu; A. Oppenheimer; W.J.K. Skinner; A. Young; J.W. Piper; S. Kalni 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 40 KB

A hybrid approach for segmentation of an

A hybrid approach for segmentation of anatomic structures in medical images

✍ Jimin Liu; Huang Su; Wieslaw L. Nowinski 📂 Article 📅 2008 🏛 Springer-Verlag 🌐 English ⚖ 222 KB

Automatic identification of muscle inser

Automatic identification of muscle insertion sites in MR images using atlas-based, non-rigid registration

✍ Lennart Scheys; Ilse Jonkers; Dirk Loeckx; Arthur Spaepen; Paul Suetens 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 78 KB

Automatic extraction of proximal femur c

Automatic extraction of proximal femur contours from calibrated X-ray images using 3D statistical models: an in vitro study

✍ Xiao Dong; Guoyan Zheng 📂 Article 📅 2009 🏛 Wiley (Robotic Publications) 🌐 English ⚖ 467 KB

## Abstract ## Background Accurate extraction of bone contours from two‐dimensional (2D) projective X‐ray images is an important component for computer‐assisted diagnosis, planning or three‐dimensional (3D) reconstruction. ## Methods We propose a 3D statistical model‐based, fully automatic segme

Clinical Validation of Atlas-based Auto-

Clinical Validation of Atlas-based Auto-contours of Target Tissues and Critical Normal Tissue Structures in the Head & Neck

✍ Levendag, P.C.; Al-Mamgani, A.; Teguh, D.N.; Voet, P.; Heijmen, B.; Han, X.; Hoo 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 39 KB