Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Han-Back Shin is active.

Publication


Featured researches published by Han-Back Shin.


Physica Medica | 2016

Prompt gamma ray imaging for verification of proton boron fusion therapy: A Monte Carlo study

Han-Back Shin; Do-Kun Yoon; Joo-Young Jung; Moo-Sub Kim; Tae Suk Suh

PURPOSE The purpose of this study was to verify acquisition feasibility of a single photon emission computed tomography image using prompt gamma rays for proton boron fusion therapy (PBFT) and to confirm an enhanced therapeutic effect of PBFT by comparison with conventional proton therapy without use of boron. METHODS Monte Carlo simulation was performed to acquire reconstructed image during PBFT. We acquired percentage depth dose (PDD) of the proton beams in a water phantom, energy spectrum of the prompt gamma rays, and tomographic images, including the boron uptake region (BUR; target). The prompt gamma ray image was reconstructed using maximum likelihood expectation maximisation (MLEM) with 64 projection raw data. To verify the reconstructed image, both an image profile and contrast analysis according to the iteration number were conducted. In addition, the physical distance between two BURs in the region of interest of each BUR was measured. RESULTS The PDD of the proton beam from the water phantom including the BURs shows more efficient than that of conventional proton therapy on tumour region. A 719keV prompt gamma ray peak was clearly observed in the prompt gamma ray energy spectrum. The prompt gamma ray image was reconstructed successfully using 64 projections. Different image profiles including two BURs were acquired from the reconstructed image according to the iteration number. CONCLUSION We confirmed successful acquisition of a prompt gamma ray image during PBFT. In addition, the quantitative image analysis results showed relatively good performance for further study.


Physica Medica | 2017

Digital Imaging and Communications in Medicine (DICOM) information conversion procedure for SUV calculation of PET scanners with different DICOM header information

Han-Back Shin; Heesoon Sheen; Ho-Young Lee; Jihoon Kang; Do-Kun Yoon; Tae Suk Suh

PURPOSE In nuclear medicine, the standardized uptake value (SUV) obtained using positron emission tomography with 2-deoxy-2-fluoro-D-glucose (FDG-PET) is widely used as a semi-quantitative diagnosis factor. We found that the header file of the Philips Allegro PET scanner using the Digital Imaging and Communications in Medicine (DICOM) standard was stored differently than with other scanners. Thus, the purpose of this study was to develop a DICOM header information conversion program to ensure compatibility between Allegro and other equipment. METHODS AND RESULTS The NEMA IEC Body phantom was scanned using the Allegro PET scanner. We conducted measurements and performed calculations by using commercial software and the proposed self-developed program, respectively, to compare the SUVs by using conversion data. The program consists of three parts: an input part that can load data regardless of the number of DICOM images, and conversion and output parts that can be used to convert the DICOM header information and store it in the order of slices. The results of the calculation are in good agreement with the data measured at 12 circular regions of interest. The percent difference was lower than the 20%. CONCLUSION In conclusion, this study suggested a simple and convenient method to solve the incompatibility through conversion of the DICOM header information. This study thus provides physicians more accurate information for diagnosis and treatment.


Oncotarget | 2018

Quantitative analysis of prompt gamma ray imaging during proton boron fusion therapy according to boron concentration

Han-Back Shin; Moo-Sub Kim; Sunmi Kim; Kyu Bom Kim; Joo-Young Jung; Do-Kun Yoon; Tae Suk Suh

The purpose of this study is to evaluate the prompt gamma ray imaging technique according to the clinical boron concentration range during proton boron fusion therapy (PBFT). To acquire a prompt gamma ray image from 32 projections, we simulated four head single photon emission computed tomography and a proton beam nozzle using a Monte Carlo simulation. We used modified ordered subset expectation maximization reconstruction algorithm with a graphic processing unit for fast image acquisition. Boron concentration was set as 20 to 100 μg at intervals of 20 μg. For quantitative analysis of the prompt gamma ray image, we acquired an image profile drawn through two boron uptake regions (BURs) and calculated the contrast value, signal-to-noise ratio (SNR), and difference between the physical target volume and volume of the prompt gamma ray image. The relative counts of prompt gamma rays were noticeably increased with increasing boron concentration. Although the intensities on the image profiles showed a similar tendency according to the boron concentration, the SNR and contrast value were improved with increasing boron concentration. This study suggests that a tumor monitoring technique using prompt gamma ray detection can be clinically applicable even if the boron concentration is relatively low.


Journal of Radioanalytical and Nuclear Chemistry | 2018

Analysis of therapeutic effectiveness attained through generation of three alpha particles in proton-boron fusion reaction based on Monte Carlo simulation code

Sunmi Kim; Do-Kun Yoon; Han-Back Shin; Moo-Sub Kim; Tae Suk Suh

This study analyzed the effectiveness attained through generation of three alpha particles in proton-boron fusion therapy (PBFT) based on a Monte Carlo simulation. PBFT is based on a fusion reaction between protons and boron. Three alpha particles are emitted from this reaction. The three alpha particles cause greater damage to tumor cells than the single alpha particle produced in the boron neutron capture reaction or conventional therapy. In addition, the intrinsic proton dose pattern follows Bragg-peak curve. We confirmed an energy deposition by the alpha particle and verified the therapeutic effect of the PBFT.


Journal of the Korean Physical Society | 2017

A simulation study for radiation treatment planning based on the atomic physics of the proton-boron fusion reaction

Sunmi Kim; Do-Kun Yoon; Han-Back Shin; Joo-Young Jung; Moo-Sub Kim; Kyeong-Hyeon Kim; Hong-Seok Jang; Tae Suk Suh


Progress in Medical Physics | 2016

Conceptual Study of Brain Dedicated PET Improving Sensitivity

Han-Back Shin; Yong Choi; Yoonsuk Huh; Jin Ho Jung; Tae Suk Suh


Japanese Journal of Applied Physics | 2018

Feasibility study of single photon emission coupled tomography imaging technique based on prompt gamma ray during antiproton therapy using boron particle

Han-Back Shin; Joo-Young Jung; Moo-Sub Kim; Sunmi Kim; Yong Choi; Do-Kun Yoon; Tae Suk Suh


Progress in Medical Physics | 2017

SPECT Image Analysis Using Computational ROC Curve Based on Threshold Setup

Moo-Sub Kim; Han-Back Shin; Sunmi Kim; Jae Goo Shim; Do-Kun Yoon; Tae Suk Suh


Journal of the Korean Physical Society | 2017

Feasibility of dual-energy computed tomography in radiation therapy planning

Heesoon Sheen; Han-Back Shin; Sungkoo Cho; Junsang Cho; Youngyih Han


Journal of the Korean Physical Society | 2017

The first step towards a respiratory motion prediction for natural-breathing by using a motion generator

Moo-Sub Kim; Joo-Young Jung; Do-Kun Yoon; Han-Back Shin; Tae Suk Suh; Jae-Hong Jung

Collaboration


Dive into the Han-Back Shin's collaboration.

Top Co-Authors

Avatar

Tae Suk Suh

Catholic University of Korea

View shared research outputs
Top Co-Authors

Avatar

Do-Kun Yoon

Catholic University of Korea

View shared research outputs
Top Co-Authors

Avatar

Moo-Sub Kim

Catholic University of Korea

View shared research outputs
Top Co-Authors

Avatar

Sunmi Kim

Catholic University of Korea

View shared research outputs
Top Co-Authors

Avatar

Joo-Young Jung

Catholic University of Korea

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Bo-Young Choe

Catholic University of Korea

View shared research outputs
Top Co-Authors

Avatar

Ho-Young Lee

Seoul National University Bundang Hospital

View shared research outputs
Top Co-Authors

Avatar

Hong-Seok Jang

Catholic University of Korea

View shared research outputs
Researchain Logo
Decentralizing Knowledge