Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Gerhard Kohl"'
Autor:
Gerhard Kohl, Mathias Prokop, Dong-Ming Xu, Hester A. Gietema, Johny Verschakelen, Rob J. van Klaveren, Ernst T. Scholten, Harry J. de Koning, Ying Wang, Matthijs Oudkerk
Publikováno v:
Radiology, 241(1), 251-257. Radiological Society of North America Inc.
Radiology, 241(1), 251-257. RADIOLOGICAL SOC NORTH AMERICA
EUR Research Portal
Radiology, 241(1), 251-257. RADIOLOGICAL SOC NORTH AMERICA
EUR Research Portal
Purpose: To retrospectively determine interobserver variability of semiautomated volume measurements of pulmonary nodules and the potential reasons for variability. Materials and Methods: The Dutch-Belgian lung cancer screening trial (NELSON) is a lu
Autor:
Gerhard Kohl
Publikováno v:
Proceedings of the American Thoracic Society. 2:470-476
Computed tomography has revolutionized diagnostic radiology with the introduction of spiral CT in the early 1990s, allowing for the first time the acquisition of volume data without the danger of misregistration or double registration of anatomical d
Publikováno v:
CARS
Computed Tomography (CT) imaging provides a very promising technology for lung cancer detection and treatment. The newest multi-slice CT machines provide high-resolution scans quickly enough that the entire lung volume may be covered in a single brea
Autor:
Gerhard Kohl, Thomas Jahnke, Jürgen Biederer, Hendrik Bolte, S. Freitag, Christian Riedel, Martin Heller, Nevin Inan
Publikováno v:
Investigative radiology. 41(1)
Objective: The main purpose of this study was to investigate the reproducibility of computed tomography (CT)-based volumetric measurements of small pulmonary nodules. Methods: We implanted 70 artificial pulmonary nodules in 5 ex vivo porcine lungs in
Publikováno v:
European radiology. 16(4)
The purpose of this study was to compare relative values of manual unidimensional measurements (MD) and automated volumetry (AV) for longitudinal treatment response assessment in patients with pulmonary metastases. Fifty consecutive patients with pul
Autor:
Gerhard Kohl, Bettina Klingemann, Claudia Scherf, Dieter Boeing, Thomas Flohr, Stefan Schaller
Publikováno v:
Multislice CT ISBN: 9783662053812
Computed tomography has experienced tremendous technological developments since its introduction more than 30 years ago. Acquisition of single images took several minutes on the first scanners in the 1970s. The introduction of spiral CT in the early
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d40ecf2dc329a316e127cbed03eaf635
https://doi.org/10.1007/978-3-662-05379-9_4
https://doi.org/10.1007/978-3-662-05379-9_4
Autor:
Uwe Dregger, Gerhard Kohl, Stefan Diederich, Dag Wormanns, Ernst Klotz, Roman Fischbach, Walter Heindel
Publikováno v:
Medical Imaging: Image Processing
Precise density measurement of pulmonary nodules with CT is an important prerequisite if the measurement of contrastenhancement is to be used to assess if a nodule is benign or malignant. The precision of a volume-based 3D measurement method was comp
Autor:
Dag Wormanns, Stefan Diederich, Ernst Klotz, F. Beyer, Anke Marheine, Walter Heindel, Gerhard Kohl
Publikováno v:
European radiology. 14(1)
The aim of this study was to assess the in vivo measurement precision of a software tool for volumetric analysis of pulmonary nodules from two consecutive low-dose multi-row detector CT scans. A total of 151 pulmonary nodules (diameter 2.2-20.5 mm, m
Autor:
Benjamin L. Odry, Hong Shen, Li Fan, Jian-Zhong Qian, Ernst Klotz, David Naidich, Gerhard Kohl
Publikováno v:
Medical Imaging: Image Processing
We propose in this paper a novel approach to the automatic segmentation of lung nodules in a given volume of interest (VOI) from high resolution multi-slice CT images by dynamically initializing and adjusting a 3D template and analyzing its cross cor
Autor:
Hong Shen, Ami N. Rubinowitz, Jane P. Ko, David Naidich, Georgeann McGuinness, Benjamin L. Odry, Li Zhang, Guo-Qing Wei, Ernst Klotz, Jian-Zhong Qian, Carol L. Novak, Li Fan, Gerhard Kohl
Publikováno v:
Medical Imaging: Image Processing
Multi-slice computed tomography (CT) provides a promising technology for lung cancer detection and treatment. To optimize automatic detections of a more complete spectrum of lung nodules on CT requires multiple specialized algorithms in a coherently