4D Cone Beam CT Reconstruction for Radiotherapy Via Motion Vector Optimization
| Status: | Terminated |
|---|---|
| Conditions: | Lung Cancer, Cancer |
| Therapuetic Areas: | Oncology |
| Healthy: | No |
| Age Range: | 18 - 99 |
| Updated: | 6/13/2018 |
| Start Date: | November 15, 2014 |
| End Date: | April 12, 2018 |
To validate a new 4D Cone Beam CT (4DCBCT) reconstruction algorithm that was developed in our
research group recently in terms of its geometry and intensity accuracy through real patient
studies. Dose calculation found out in this study will not be used on the subject
research group recently in terms of its geometry and intensity accuracy through real patient
studies. Dose calculation found out in this study will not be used on the subject
Before patient studies, we will have conducted experimental studies on a lung phantom.
The purpose of this step is to comprehensively evaluate the system performance and gain
confidence prior to its applications to real patient cases. We will operate the phantom to
simulate motion patterns with different motion amplitude/frequency. 4DCBCT images will be
reconstructed using our method and the conventional FDK algorithm. The validation will focus
on two aspects: HU value accuracy and anatomy location accuracy.
Imaging dose in these scans will be also measured in phantom studies to make sure the
radiation dose level is acceptable for patient studies. adiation dose level is acceptable for
patient studies.
After testing the reconstruction algorithm on phantoms, we will move on to real patient
cases. We will conduct patient studies on lung cancer patients treated under Image Guided
Radiation Therapy (IGRT) at Department of Radiation Oncology, UT Southwestern Medical Center.
CBCT projection data will be collected (4 gantry rotations, each within 1 minute) in only one
treatment fraction. 4DCBCT images will be reconstructed from the current standard FDK
algorithm using all the projection data, and from our system using data only in the first
gantry rotation. Patient 4DCT image will also be used, which have been acquired during
treatment planning stage per standard treatment protocol at UTSW.
The image quality of our 4DCBCT will be assessed in two aspects:
1) geometry accuracy, by comparing selected anatomical landmark locations with those in
4DCBCT reconstructed by the FDK algorithm. 2) HU accuracy, by comparing HU values in selected
regions of interest (ROIs) with those in 4DCT.
The 4DCT images will be extracted from radiation therapy information system MOSAIQ.
The CBCT projection data will be exported from a computer that controls the image acquisition
system
The purpose of this step is to comprehensively evaluate the system performance and gain
confidence prior to its applications to real patient cases. We will operate the phantom to
simulate motion patterns with different motion amplitude/frequency. 4DCBCT images will be
reconstructed using our method and the conventional FDK algorithm. The validation will focus
on two aspects: HU value accuracy and anatomy location accuracy.
Imaging dose in these scans will be also measured in phantom studies to make sure the
radiation dose level is acceptable for patient studies. adiation dose level is acceptable for
patient studies.
After testing the reconstruction algorithm on phantoms, we will move on to real patient
cases. We will conduct patient studies on lung cancer patients treated under Image Guided
Radiation Therapy (IGRT) at Department of Radiation Oncology, UT Southwestern Medical Center.
CBCT projection data will be collected (4 gantry rotations, each within 1 minute) in only one
treatment fraction. 4DCBCT images will be reconstructed from the current standard FDK
algorithm using all the projection data, and from our system using data only in the first
gantry rotation. Patient 4DCT image will also be used, which have been acquired during
treatment planning stage per standard treatment protocol at UTSW.
The image quality of our 4DCBCT will be assessed in two aspects:
1) geometry accuracy, by comparing selected anatomical landmark locations with those in
4DCBCT reconstructed by the FDK algorithm. 2) HU accuracy, by comparing HU values in selected
regions of interest (ROIs) with those in 4DCT.
The 4DCT images will be extracted from radiation therapy information system MOSAIQ.
The CBCT projection data will be exported from a computer that controls the image acquisition
system
Inclusion Criteria:
1. Patients that have been diagnosed with lung cancer, and are treated at Department of
Radiation Oncology, UTSW.
2. Patients are greater than 18 years of age.
3. Patients understand a written informed consent document and are willing to sign the
consent form.
Exclusion Criteria:
1. Women who are pregnant or trying to get pregnant
2. Children (under age of 18)
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