scholarly journals Segmentation of human skull in MRI using statistical shape information from CT data

2009 ◽  
Vol 30 (3) ◽  
pp. 490-498 ◽  
Author(s):  
Defeng Wang ◽  
Lin Shi ◽  
Winnie C.W. Chu ◽  
Jack C.Y. Cheng ◽  
Pheng Ann Heng
Keyword(s):  
Shape Information ◽  
Human Skull ◽  
Statistical Shape ◽  
Ct Data

scholarly journals Multi-object Segmentation of Head Bones

2009 ◽  
Author(s):  
Dagmar Kainmueller ◽  
Hans Lamecker ◽  
Heiko Seim ◽  
Stefan Zachow
Keyword(s):  
Image Data ◽  
Special Focus ◽  
Heuristic Model ◽  
3D Segmentation ◽  
Mandibular Bone ◽  
Shape Models ◽  
Statistical Shape ◽  
Fully Automatic ◽  
Ct Data ◽  
Manual Correction

We present a fully automatic method for 3D segmentation of the mandibular bone from CT data. The method includes an adaptation of statistical shape models of the mandible, the skull base and the midfacial bones, followed by a simultaneous graph-based optimization of adjacent deformable models. The adaptation of the models to the image data is performed according to a heuristic model of the typical intensity distribution in the vincinity of the bone boundary, with special focus on an accurate discrimination of adjacent bones in joint regions. An evaluation of our method based on 18 CT scans shows that a manual correction of the automatic segmentations is not necessary in approx. 60% of the axial slices that contain the mandible.

scholarly journals Practicable assessment of cochlear size and shape from clinical CT images

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Andrew H. Gee ◽  
Yufeng Zhao ◽  
Graham M. Treece ◽  
Manohar L. Bance
Keyword(s):  
Gold Standard ◽  
Ct Images ◽  
Statistical Shape Model ◽  
Ct Scans ◽  
Micro Ct ◽  
Convenience Sample ◽  
Size And Shape ◽  
Statistical Shape ◽  
Affine Deformation ◽  
Ct Data

AbstractThere is considerable interpersonal variation in the size and shape of the human cochlea, with evident consequences for cochlear implantation. The ability to characterize a specific cochlea, from preoperative computed tomography (CT) images, would allow the clinician to personalize the choice of electrode, surgical approach and postoperative programming. In this study, we present a fast, practicable and freely available method for estimating cochlear size and shape from clinical CT. The approach taken is to fit a template surface to the CT data, using either a statistical shape model or a locally affine deformation (LAD). After fitting, we measure cochlear size, duct length and a novel measure of basal turn non-planarity, which we suggest might correlate with the risk of insertion trauma. Gold-standard measurements from a convenience sample of 18 micro-CT scans are compared with the same quantities estimated from low-resolution, noisy, pseudo-clinical data synthesized from the same micro-CT scans. The best results were obtained using the LAD method, with an expected error of 8–17% of the gold-standard sample range for non-planarity, cochlear size and duct length.

scholarly journals Patient-specific hip prostheses designed by surgeons

2016 ◽  
Vol 2 (1) ◽  
pp. 565-567
Author(s):  
Florian Coigny ◽  
Adi Todor ◽  
Horatiu Rotaru ◽  
Ralf Schumacher ◽  
Erik Schkommodau
Keyword(s):  
Additive Manufacturing ◽  
Patient Specific ◽  
Shape Information ◽  
Hip Prostheses ◽  
Patient Specific Implants ◽  
Aesthetic Results ◽  
Design Software ◽  
Low Volume ◽  
Ct Data ◽  
User Friendly

AbstractPatient-specific bone and joint replacement implants lead to better functional and aesthetic results than conventional methods [1], [2], [3]. But extracting 3D shape information from CT Data and designing individual implants is demanding and requires multiple surgeon-to-engineer interactions. For manufacturing purposes, Additive Manufacturing offers various advantages, especially for low volume manufacturing parts, such as patient specific implants. To ease these new approaches and to avoid surgeon-to-engineer interactions a new design software approach is needed which offers highly automated and user friendly planning steps.

Blinded re-analysis of CT-data with HeartNavigator®: Improved TAVI planning versus TEE and CT alone

2013 ◽  
Vol 61 (S 01) ◽  
Author(s):  
C Schmidtke ◽  
D Richardt ◽  
M Strauch ◽  
J Barkhausen ◽  
HH Sievers ◽  
...  
Keyword(s):  
Ct Data
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