글로벌 연구동향
의학물리학
- 2017년 10월호
[Med Phys.] Real-time respiratory phase matching between 2D fluoroscopic images and 3D CT images for precise percutaneous lung biopsy.KAIST/ 원치준, 라종범*
- 출처
- Med Phys.
- 등재일
- 2017 Aug 20
- 저널이슈번호
- doi: 10.1002/mp.12524. [Epub ahead of print]
- 내용
Abstract
PURPOSE:
A 3D CT image is used along with real-time 2D fluoroscopic images in the state-of-the-art cone-beam CT system to guide percutaneous lung biopsy (PLB). To improve the guiding accuracy by compensating for respiratory motion, we propose an algorithm for real-time matching of 2D fluoroscopic images to multiple 3D CT images of different respiratory phases that is robust to the small movement and deformation due to cardiac motion.
METHODS:
Based on the transformations obtained from nonrigid registration between two 3D CT images acquired at expiratory and inspiratory phases, we first generate sequential 3D CT images (or a 4D CT image) and the corresponding 2D digitally reconstructed radiographs (DRRs) of vessels. We then determine 3D CT images corresponding to each real-time 2D fluoroscopic image, by matching the 2D fluoroscopic image to a 2D DRR.
RESULTS:
Quantitative evaluations performed with 20 clinical datasets show that registration errors of anatomical features between a 2D fluoroscopic image and its matched 2D DRR are less than 3 mm on average. Registration errors of a target lesion are determined to be roughly 3 mm on average for 10 datasets.
CONCLUSIONS:
We propose a real-time matching algorithm to compensate for respiratory motion between a 2D fluoroscopic image and 3D CT images of the lung, regardless of cardiac motion, based on a newly improved matching measure. The proposed algorithm can improve the accuracy of a guiding system for the PLB by providing 3D images precisely registered to 2D fluoroscopic images in real-time, without time-consuming respiratory-gated or cardiac-gated CT images.
Author information
Weon C1, Kim M1, Park CM2, Ra JB1.
1School of Electrical Engineering, KAIST, Daejeon, Korea.2Department of Radiology, Seoul National University Hospital, Seoul, Korea.
- 키워드
- 2D fluoroscopic images; 3D CT images; percutaneous lung biopsy; real-time matching; respiratory motion
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