Affiliation:
1. Hunan University of Science and Technology
Abstract
Respiratory motion degrades anatomic position reproducibility, and result in significant errors in radiotherapy. 4D computed Tomography (4DCT) can characterize anatomy motion during breathing. Usually, the acquired 4DCT images sequences is out of order. How to rearrange the sequence, i.e. sort 4DCT images has been the focus of 4DCT. In this paper we propose a method based on locally linear embedding (LLE), to reconstruct time-resolved CT volumes. By mapping high dimensional image data with LLE into one dimensional space, each image is assigned a value, then 4DCT images is sorted according to the value to reconstruct a respiratory cycle. Experiments result shows that the method is feasible to sort 4 DCT images without using any external motion monitoring systems.
Publisher
Trans Tech Publications, Ltd.
Reference13 articles.
1. P.F. Villard, M. Beuve, and B. Sharit, An Approach to Convert 4D Geometry into a 4D CT Scan, WSCG 2006 conference proceedings, Plzen, Czech Republic, January 30 - February 3, (2006).
2. Nicole M. Wink, Christoph Panknin, and Timothy D. Solberg , "Phase versus amplitude sorting of 4D-CT data, JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, VOLUME 7, NUMBER 1, WINTER 2006, pp.77-85.
3. Keall P. 4-dimensional computed tomography imaging and treatment planning. Semin Radiat Oncol. 2004; 14 (1): 81–90.
4. Suresh Senan, and Frank J Lagerwaard, Current Status of Four-dimensional Computed Tomography for High-precision Radiotherapy, Radiotherapy & Imaging, T O U C H B R I E F I N G S 2 0 0 7, pp.98-101.
5. Rietzel E, Pan T, Chen GT, Four-dimensional computed tomography: image formation and clinical protocol, Med Phys, 2005; 32: 874–89.