Tae-Suk Suh

Prof. Tae-Suk Suh


Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 May 2017 in PLOS ONE
Verified
Journal Article
Open access
PDF file
MKMin-Joo Kim
Min-Joo Kim
SLSeu-Ran Lee
Seu-Ran Lee
MLMin-Young Lee
Min-Young Lee
JSJason W. Sohn
Jason W. Sohn
HYHyong Geon Yun
Hyong Geon Yun
TSTae-Suk Suh
Tae-Suk Suh
Development and comparison of spine-shaped phantoms generated by two different 3D-printing technologies, digital light processing (DLP) and Polyjet has been purposed to utilize in patient-specific quality assurance (QA) of stereotactic body radiation treatment. The developed 3D-printed spine QA phantom consisted of an acrylic body phantom and a 3D-printed spine shaped object. DLP and Polyjet 3D printers using a high-density acrylic polymer were employed to produce spine-shaped phantoms based on CT images. Image fusion was performed to evaluate the reproducibility of our phantom, and the Hounsfield units (HUs) were measured based on each CT image. Two different intensity-modulated radiotherapy plans based on both CT phantom image sets from the two printed spine-shaped phantoms with acrylic body phantoms were designed to deliver 16 Gy dose to the planning target volume (PTV) and were compared for target coverage and normal organ-sparing. Image fusion demonstrated good reproducibility of the developed phantom. The HU values of the DLP- and Polyjet-printed spine vertebrae differed by 54.3 on average. The PTV Dmax dose for the DLP-generated phantom was about 1.488 Gy higher than that for the Polyjet-generated phantom. The organs at risk received a lower dose for the 3D printed spine-shaped phantom image using the DLP technique than for the phantom image using the Polyjet technique. Despite using the same material for printing the spine-shaped phantom, these phantoms generated by different 3D printing techniques, DLP and Polyjet, showed different HU values and these differently appearing HU values according to the printing technique could be an extra consideration for developing the 3D printed spine-shaped phantom depending on the patient’s age and the density of the spinal bone. Therefore, the 3D printing technique and materials should be carefully chosen by taking into account the condition of the patient in order to accurately produce 3D printed patient-specific QA phantom.

25 February 2017 in Oncotarget
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Journal Article
Open access
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JJJoo-Young Jung
Joo-Young Jung
DYDo-Kun Yoon
Do-Kun Yoon
BBBrendan Barraclough
Brendan Barraclough
HLHeui Chang Lee
Heui Chang Lee
TSTae-Suk Suh
Tae-Suk Suh
BLBo Lu
Bo Lu
Comparison between proton boron fusion therapy (PBFT) and boron neutron capture therapy (BNCT): a Monte Carlo study

28 January 2010 in Journal of Applied Clinical Medical Physics
Verified
Journal Article
Open access
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JCJina Chang
Jina Chang
TSTae-Suk Suh
Tae-Suk Suh
DLDong‐Soo Lee
Dong‐Soo Lee
A deformable lung phantom was developed to simulate patient breathing motion and to evaluate a deformable image registration algorithm. The phantom consisted of an acryl cylinder filled with water and a latex balloon located in the inner space of the cylinder. A silicon membrane was attached to the inferior end of the phantom. The silicon membrane was designed to simulate a real lung diaphragm and to reduce motor workload. This specific design was able to reduce the use of metal, which may prevent infrared sensing of the real position management (RPM) gating system for four‐dimensional (4D) CT image acquisition. Verification of intensity based three‐dimensional (3D) demons deformable registration was based on the peak exhale and peak inhale breathing phases. The registration differences ranged from 0.60 mm to 1.11 mm and accuracy was determined according to inner target deformation. The phantom was able to simulate features and deformation of a real human lung and has the potential for wide application for 4D radiation treatment planning.PACS number: 87.57.Gg

15 March 2011 in Medical Physics
Verified
Journal Article
Closed access
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WCWoong Cho
Woong Cho
KKKayla N. Kielar
Kayla N. Kielar
EMEd Mok
Ed Mok
LXLei Xing
Lei Xing
JPJeong‐Hoon Park
Jeong‐Hoon Park
TSTae-Suk Suh
Tae-Suk Suh

21 December 2019 in Medical Physics
Verified
Journal Article
Closed access
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DSDong‐Seok Shin
Dong‐Seok Shin
SKSeong‐Hee Kang
Seong‐Hee Kang
KKKyeong‐Hyeon Kim
Kyeong‐Hyeon Kim
TKTae‐Ho Kim
Tae‐Ho Kim
DKDong‐Su Kim
Dong‐Su Kim
TYTokihiro Yamamoto
Tokihiro Yamamoto

8 November 2015 in Journal of Applied Clinical Medical Physics
Verified
Journal Article
Open access
PDF file
JSJi‐Hye Song
Ji‐Hye Song
MKMin‐Joo Kim
Min‐Joo Kim
SPSo‐Hyun Park
So‐Hyun Park
SLSeu‐Ran Lee
Seu‐Ran Lee
MLMin‐Young Lee
Min‐Young Lee
TSTae-Suk Suh
Tae-Suk Suh
The American Association of Physicists in Medicine Task Group 119 instructed institutions to use a low-dose threshold of 10% or a region of interest determined by the jaw setting when they collected gamma analysis quality assurance (QA) data for the planar dose distribution. However, there are no clinical data to quantitatively demonstrate the impact of the low-dose threshold on the gamma index. Therefore, we performed a gamma analysis with various low-dose thresholds in the range of 0% to 15% according to both global and local normalization and different acceptance criteria ( 3%/3?mm , 2%/2?mm , and 1%/1?mm ). A total of 30 treatment plans — 10 head and neck, 10 brain, and 10 prostate cancer cases — were randomly selected from the Varian Eclipse treatment planning system (TPS). For the gamma analysis, a calculated portal image was acquired through a portal dose calculation algorithm in the Eclipse TPS, and a measured portal image was obtained using an electronic portal-imaging device. Then, the gamma analysis was performed using the Portal Dosimetry software (Varian Medical Systems, Palo Alto, CA). The gamma passing rate (%GP) for the global normalization decreased as the low-dose threshold increased, and all low-dose thresholds led to %GP values above 95% for both the 3%/3?mm and 2%/2?mm criteria. However, for the local normalization, %GP for a low-dose threshold of 10% was 7.47%, 10.23%, and 6.71% greater than the low-dose threshold of 0% for head and neck, brain, and prostate for the 3%/3?mm criteria, respectively. The results indicate that applying the low-dose threshold to global normalization does not have a critical impact on patient-specific QA results. However, in the local normalization, the low-dose threshold level should be carefully selected because the excluded low-dose points could cause the average %GP to increase rapidly. PACS number: 87.55.Qr