Pengolahan Citra CT Scan Paru-Paru dengan Metode Segmentasi Active Contour
Penelitian mengenai pengolahan citra medis telah banyak dilakukan dengan mengembangkan berbagai macam metode pengolahan citra. Penelitian yang dilakukan di antaranya bertujuan untuk meningkatkan kualitas citra agar citra lebih mudah diinterpretasi dan untuk menganalisis citra secara objektif. Berikut ini merupakan contoh aplikasi pemrograman MATLAB untuk melakukan pengolahan citra CT Scan Paru-Paru dengan metode segmentasi active contour. Citra diakuisisi dengan modalitas pesawat CT Scan berformat DICOM (Digital Imaging and Communications in Medicine). Pengolahan citra dilakukan untuk menghitung luas dan keliling daerah paru-paru.
Langkah-langkah pemrogramannya adalah sebagai berikut:
1. Membaca citra asli
clc; clear; close all; warning off all; Img = dicomread('1'); figure,imshow(Img,[]) title('Citra Asli')
2. Inisialisasi masking untuk proses segmentasi
h = imrect; setColor(h,'b') mask = createMask(h);
3. Segmentasi daerah paru dengan metode active contour
bw = activecontour(Img,mask,1000); bw = imfill(bw,'holes'); bw = bwareaopen(bw,500); bw = imclearborder(bw); figure, imshow(bw); title('Citra Biner')
4. Menampilkan citra hasil segmentasi
figure, imshow(Img,[]) title('Hasil Segmentasi') axis off hold on [c,~] = bwboundaries(bw,'noholes'); for k = 1:length(c) boundary = c{k}; plot(boundary(:,2), boundary(:,1),'y','LineWidth',3) end hold off
5. Menghitung luas dan keliling daerah paru hasil segmentasi
s = regionprops(bw, 'area','perimeter'); area_bw = cat(1, s.Area); perim_bw = cat(1, s.Perimeter); res = 1.362; % resolusi spasial 1.362 pixel/mm area = area_bw/(res^2)/100 perimeter = perim_bw/res/10
6. Mengimplementasikan sistem pengolahan citra ke dalam GUI MATLAB
a. Tampilan awal GUI
c. Inisialisasi masking untuk proses segmentasi
d. Proses segmentasi dengan metode active contour
e. Menghitung luas dan keliling daerah paru hasil segmentasi
f. Melakukan segmentasi pada daerah yang lain
g. Melakukan segmentasi pada daerah yang lain
Tampilan source code matlab untuk pengolahan citra CT Scan paru-paru adalah sebagai berikut:
function varargout = pengolahan_citra_paru(varargin) % PENGOLAHAN_CITRA_PARU MATLAB code for pengolahan_citra_paru.fig % PENGOLAHAN_CITRA_PARU, by itself, creates a new PENGOLAHAN_CITRA_PARU or raises the existing % singleton*. % % H = PENGOLAHAN_CITRA_PARU returns the handle to a new PENGOLAHAN_CITRA_PARU or the handle to % the existing singleton*. % % PENGOLAHAN_CITRA_PARU('CALLBACK',hObject,eventData,handles,...) calls the local % function named CALLBACK in PENGOLAHAN_CITRA_PARU.M with the given input arguments. % % PENGOLAHAN_CITRA_PARU('Property','Value',...) creates a new PENGOLAHAN_CITRA_PARU or raises the % existing singleton*. Starting from the left, property value pairs are % applied to the GUI before pengolahan_citra_paru_OpeningFcn gets called. An % unrecognized property name or invalid value makes property application % stop. All inputs are passed to pengolahan_citra_paru_OpeningFcn via varargin. % % *See GUI Options on GUIDE's Tools menu. Choose "GUI allows only one % instance to run (singleton)". % % See also: GUIDE, GUIDATA, GUIHANDLES % Edit the above text to modify the response to help pengolahan_citra_paru % Last Modified by GUIDE v2.5 23-Feb-2018 18:41:08 % Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @pengolahan_citra_paru_OpeningFcn, ... 'gui_OutputFcn', @pengolahan_citra_paru_OutputFcn, ... 'gui_LayoutFcn', [] , ... 'gui_Callback', []); if nargin && ischar(varargin{1}) gui_State.gui_Callback = str2func(varargin{1}); end if nargout [varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:}); else gui_mainfcn(gui_State, varargin{:}); end % End initialization code - DO NOT EDIT % --- Executes just before pengolahan_citra_paru is made visible. function pengolahan_citra_paru_OpeningFcn(hObject, eventdata, handles, varargin) % This function has no output args, see OutputFcn. % hObject handle to figure % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % varargin command line arguments to pengolahan_citra_paru (see VARARGIN) % Choose default command line output for pengolahan_citra_paru handles.output = hObject; % Update handles structure guidata(hObject, handles); movegui(hObject,'center'); % UIWAIT makes pengolahan_citra_paru wait for user response (see UIRESUME) % uiwait(handles.figure1); % --- Outputs from this function are returned to the command line. function varargout = pengolahan_citra_paru_OutputFcn(hObject, eventdata, handles) % varargout cell array for returning output args (see VARARGOUT); % hObject handle to figure % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % Get default command line output from handles structure varargout{1} = handles.output; % --- Executes on button press in pushbutton1. function pushbutton1_Callback(hObject, eventdata, handles) % hObject handle to pushbutton1 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) [filename, pathname] = uigetfile('*.*'); if ~isequal(filename,0) set(handles.pushbutton2,'Enable','on') axes(handles.axes1) cla reset set(gca,'XTick',[]) set(gca,'YTick',[]) axes(handles.axes2) cla reset set(gca,'XTick',[]) set(gca,'YTick',[]) axes(handles.axes3) cla reset set(gca,'XTick',[]) set(gca,'YTick',[]) Img = dicomread(fullfile(pathname, filename)); axes(handles.axes1) imshow(Img,[]) title('Citra Asli') set(handles.pushbutton2,'Enable','on') set(handles.pushbutton3,'Enable','off') else return end handles.Img = Img; guidata(hObject, handles) % --- Executes on button press in pushbutton2. function pushbutton2_Callback(hObject, eventdata, handles) % hObject handle to pushbutton2 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) Img = handles.Img; axes(handles.axes2) cla reset set(gca,'XTick',[]) set(gca,'YTick',[]) axes(handles.axes3) cla reset set(gca,'XTick',[]) set(gca,'YTick',[]) set(handles.pushbutton3,'Enable','off') set(handles.edit1,'String',[]) set(handles.edit2,'String',[]) axes(handles.axes1) cla reset imshow(Img,[]) title('Citra Asli') h = imrect; setColor(h,'b') mask = createMask(h); % delete(h); bw = activecontour(Img,mask,1000); bw = imfill(bw,'holes'); bw = bwareaopen(bw,500); bw = imclearborder(bw); axes(handles.axes2) cla reset imshow(Img,[]) title('Hasil Segmentasi') axis off hold on [c,~] = bwboundaries(bw,'noholes'); for k = 1:length(c) boundary = c{k}; plot(boundary(:,2), boundary(:,1),'y','LineWidth',3) end hold off axes(handles.axes3) cla reset imshow(bw) title('Citra Biner') set(handles.pushbutton3,'Enable','on') handles.bw = bw; guidata(hObject, handles) % --- Executes on button press in pushbutton3. function pushbutton3_Callback(hObject, eventdata, handles) % hObject handle to pushbutton3 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) bw = handles.bw; s = regionprops(bw, 'area','perimeter'); area_bw = cat(1, s.Area); perim_bw = cat(1, s.Perimeter); res = 1.362; % resolusi spasial 1.362 pixel/mm area = area_bw/(res^2)/100; perimeter = perim_bw/res/10; set(handles.edit1,'String',[num2str(area),' cm2']) set(handles.edit2,'String',[num2str(perimeter),' cm']) % --- Executes on button press in pushbutton4. function pushbutton4_Callback(hObject, eventdata, handles) % hObject handle to pushbutton4 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) axes(handles.axes1) cla reset set(gca,'XTick',[]) set(gca,'YTick',[]) axes(handles.axes2) cla reset set(gca,'XTick',[]) set(gca,'YTick',[]) axes(handles.axes3) cla reset set(gca,'XTick',[]) set(gca,'YTick',[]) set(handles.edit1,'String',[]) set(handles.edit2,'String',[]) set(handles.pushbutton2,'Enable','off') set(handles.pushbutton3,'Enable','off') function edit1_Callback(hObject, eventdata, handles) % hObject handle to edit1 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % Hints: get(hObject,'String') returns contents of edit1 as text % str2double(get(hObject,'String')) returns contents of edit1 as a double % --- Executes during object creation, after setting all properties. function edit1_CreateFcn(hObject, eventdata, handles) % hObject handle to edit1 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles empty - handles not created until after all CreateFcns called % Hint: edit controls usually have a white background on Windows. % See ISPC and COMPUTER. if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor','white'); end function edit2_Callback(hObject, eventdata, handles) % hObject handle to edit2 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % Hints: get(hObject,'String') returns contents of edit2 as text % str2double(get(hObject,'String')) returns contents of edit2 as a double % --- Executes during object creation, after setting all properties. function edit2_CreateFcn(hObject, eventdata, handles) % hObject handle to edit2 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles empty - handles not created until after all CreateFcns called % Hint: edit controls usually have a white background on Windows. % See ISPC and COMPUTER. if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor','white'); end
File source code lengkap beserta citra pada pemrograman di atas dapat diperoleh melalui halaman berikut ini: Source Code
Penerapan metode active contour untuk segmentasi citra thorax dapat dilihat pada video tutorial berikut ini:

Posted on February 24, 2018, in Pengolahan Citra and tagged analisis citra medis, cara menghitung luas citra, inisialisasi masking active contour, menghitung keliling daerah paru, menghitung luas citra paru, menghitung luas daerah paru, operasi morfologi citra, pemrograman matlab pengolahan citra, pengolahan citra ct scan, pengolahan citra dicom, pengolahan citra medis, pengolahan citra paru, perhitungan luas citra medis, segmentasi citra active contour, segmentasi citra medis, segmentasi citra paru. Bookmark the permalink. 20 Comments.
permisi mas adi,
saya mau tanya mas, itu untuk imagenya untuk ekstensinya file gitu ya mas, kalo saya ingin menginput gambar lain selain disitu caranya gimana ya biar bisa ke detect? terimakasih mas adi
umumnya file citra CT Scan berekstensi .dcm
jika ingin menggunakan ekstensi yang lain maka bisa menggunakan perintah imread
Mas Adi, untuk mendapatkan dataset citra medis seperti itu dari website mana ya mas? Soalnya saya butuh untuk thesis saya. Karena kalau meminta data dari pihak rumah sakitnya, prosesnya agak lama. Thx mas.
bisa didownload melalui halaman berikut
http://www.aycan.de/lp/sample-dicom-images.html
http://www.santec.lu/project/optimage/samples
http://www.osirix-viewer.com/datasets/
http://www.dclunie.com/
http://barre.nom.fr/medical/samples/
Mas Adi ini pake matlab tahun berapa ya?
Matlab 2015 yang digunakan
kalau matlab r2017a apakah bisa digunakan, saya coba kok seperti hang ya mas programnya prosesnya masih jalan terus tidak ada hasil
Program di atas tidak bisa dijalankan jika hanya dicopy paste saja
kalau begitu mohon petunjuk bagaimana cara nya mas, agar gambar paru-paru saja yang tampil. tks sebelumnya
bisa dilakukan segmentasi pada region paru-paru saja
Selamat pagi mas, mas untuk menghitung luas area yang dikontur itu menggunakan resolusi spasial, lalu resolusi spasial itu didapat dari mana ya mas? Terimkasih
Pagi, resolusi spasial diperoleh dari metadata file dicom
Berarti untuk resolusi spasial setiap citra itu berbeda2 ya mas?
Iya berbeda
Lalu jika tidak diketahui resolusi spasial citra, bagaimana cara mencari luasnya ya mas? Mohon infonya mas
Banyak materi mengenai penghitungan luas di website ini bisa dicari dan dipelajari
Kak izin bertanya kalo untuk menghitung volume bagaimana?
Volume bisa dihitung dengan cara mengkalikan luasan dengan tinggi (slice thickness)
Halo ka mau tanya, kalo gambar paru parunya selain gambar diatas apa bisa terdeteksi? Kalo mau minta gambar paru paru seperti diatas gimana ya ka?
Untuk data dan source code lengkap pada pemrograman di atas bisa dibeli melalui tokopedia